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COVID-19 is characterized by a broad range of symptoms and disease trajectories. Understanding the correlation between clinical biomarkers and lung pathology during acute COVID-19 is necessary to understand its diverse pathogenesis and inform more effective treatments. Here, we present an integrated analysis of longitudinal clinical parameters, peripheral blood markers, and lung pathology in 142 Brazilian patients hospitalized with COVID-19. We identified core clinical and peripheral blood signatures differentiating disease progression between patients who recovered from severe disease compared with those who succumbed to the disease. Signatures were heterogeneous among fatal cases yet clustered into two patient groups: "early death" (<15 days until death) and "late death" (>15 days). Progression to early death was characterized systemically and in lung histopathological samples by rapid endothelial and myeloid activation and the presence of thrombi associated with SARS-CoV-2+ macrophages. In contrast, progression to late death was associated with fibrosis, apoptosis, and SARS-CoV-2+ epithelial cells in postmortem lung tissue. In late death cases, cytotoxicity, interferon, and T helper 17 (TH17) signatures were only detectable in the peripheral blood after 2 weeks of hospitalization. Progression to recovery was associated with higher lymphocyte counts, TH2 responses, and anti-inflammatory–mediated responses. By integrating antemortem longitudinal blood signatures and spatial single-cell lung signatures from postmortem lung samples, we defined clinical parameters that could be used to help predict COVID-19 outcomes. Editor's summary: A major challenge early during the COVID-19 pandemic was the inability to determine when a patient was going to recover or succumb to disease. Although vaccines, antivirals, and other therapeutics have limited the fatalities caused by COVID-19, the ability to predict disease progression remains important because it could help determine the best therapeutic approach for each patient. Here, Da Silva Filho et al. integrated antemortem peripheral blood analysis and clinical data with postmortem analysis of lung tissues to define signatures of recovery, early death, and late death from COVID-19. They then used these integrated signatures to identify peripheral blood and clinical parameters that could predict a patient's trajectory. These data could be useful for anticipating a patient's clinical course and for identifying personalized therapeutic approaches. —Courtney Malo [ABSTRACT FROM AUTHOR]

Background. HIV is one of the most significant worldwide health concerns of the twenty‐first century and a serious threat to human society. Hemoglobin level and CD4 cell count are two of the most important biomarkers of HIV progression and patient survival. The objective of this study was to identify common risk factors associated with CD4 cell count and hemoglobin level among adult female HIV‐positive patients treated with ART at the University of Gondar Comprehensive Specialized Hospital, Ethiopia. Methods. The source of data in this study was secondary data conducted in the University of Gondar Comprehensive Specialized Hospital from September 2015 to March 2022. Data exploration in this study was normal histogram plot, box plot, and Q‐Q plot considered to gain some visions of the data related to CD4 cell count and hemoglobin level. A Bayesian joint model was used in this longitudinal data set to get a wide range of information about adult female HIV‐patients. Results. The mean with a standard deviation of hematocrit (%), red blood cell (106/μl), lymphocyte (%), and weight (kg) of female patients were 37.2 (3.8), 4.0 (1.6), 43.6 (11.8), and 44.9 (9.4), respectively. In this study, the random intercept model for CD4 cell count and the random intercept and slope model for hemoglobin level were considered as the best selected model. Visit time, hematocrit, weight, RBC, lymphocyte count, educational status, marital status, disclosure, and substance use were common risk factors for CD4 cell count and hemoglobin level. Conclusion. This study concluded that, the risk factors visit time, weight, secondary educators, tertiary educators, married patients, patients who disclosed their HIV status to family members were associated with high CD4 cell count and hemoglobin level. While, hematocrit, RBC, lymphocyte count, separated marital status, widowed marital status, and substance‐addicted patients were associated with low CD4 cell count and hemoglobin level. The author recommended that FMOH or other health professionals, program planners, decision makers, project implementers, government, and nongovernmental organizations should be given special attention for adult female patinets to minimize the risk of HIV progression and improve their health status. The author also recommended that health staff should conduct health‐related studies for patients to examine continuous checkups. Health professionals also should give more attention to types of ART medication to reduce the progression of disease when the patients come back again into the hospital. Finally, adult female HIV‐positive patients should be given special attention based on these important factors to improve their CD4 cell count, hemoglobin level, and better health quality. [ABSTRACT FROM AUTHOR]

Background: The systemic immune-inflammation index (SII) is a novel inflammatory marker used to assess the immune-inflammatory status of the human body. The systemic immune inflammation has an interplay and mutual relationship with neurological disorders. Serum neurofilament light chain (sNfL) is widely regarded as a potential biomarker for various neurological diseases. The study aimed to examine the association between SII and sNfL. Methods: This cross-sectional investigation was conducted in a population with complete data on SII and sNfL from the 2013-2014 National Health and Nutrition Examination Survey (NHANES). The SII was calculated by dividing the product of platelet count and neutrophil count by the lymphocyte count. Multivariate linear regression models and smooth curves were used to explore the linear connection between SII and sNfL. Sensitivity analyses, interaction tests, and diabetes subgroup smoothing curve fitting were also performed. Results: A total of 2,025 participants were included in our present research. SII showed a significant positive association with the natural logarithm-transformed sNfL (ln-sNfL) in crude model [0.17 (0.07, 0.28)], partially adjusted model [0.13 (0.03, 0.22)], and fully adjusted model [0.12 (0.02, 0.22)]. In all participants, the positive association between SII and ln-sNfL served as a linear relationship, as indicated by a smooth curve. Interaction tests showed that age, gender, BMI, hypertension, and diabetes did not have a significant impact on this positive association (p for interaction >0.05). The subgroup analysis of diabetes was conducted using smooth curve fitting. It was found that compared to the group without diabetes and the group in a pre-diabetic state, the effect was more pronounced in the group with diabetes. Conclusion: Our findings suggest that there is a positive association between SII and sNfL. Furthermore, in comparison to individuals without diabetes and those in a pre-diabetic state, the positive association between SII and sNfL was more pronounced in individuals with diabetes. Further large-scale prospective studies are needed to confirm the association between SII and sNfL. [ABSTRACT FROM AUTHOR]

Background: This study aims to investigate preoperative prognostic factors available for intrahepatic cholangiocarcinoma (ICC) patients and propose a new preoperative prognostic scoring system for ICC that combines CA19-9 and neutrophil/lymphocyte ratio (NLR). Methods: In this retrospective analysis, 1728 patients diagnosed with ICC and undergoing curative liver resections were studied. This study employed univariate and multivariate Cox regression to find factors affecting recurrence and overall survival (OS), and furthermore assessed how preoperative models influenced tumor traits and postoperative recurrence. Results: The results of the multivariate Cox regression analysis indicated that two preoperative variables, NLR and Ca19-9, were independent risk factors affecting postoperative recurrence and OS in ICC patients. Based on this data, assigning a score of 0 (NLR ≤ 2.4 and Ca19-9 ≤ 37U/ml) or 1 (NLR > 2.4 and Ca19-9 > 37U/ml) to these two factors, a preoperative prognostic score was derived. According to the scoring model, patients were divided into three groups: 0 points (low-risk group), 1 point (intermediate-risk group), and 2 points (high-risk group). The 5-year recurrence and OS rates for the three groups were 56.6%, 68.2%, 77.8%, and 56.8%, 40.6%, 27.6%, respectively, with all P values < 0.001. Furthermore, high-risk group patients were more prone to early recurrence (early recurrence rates for high-, intermediate-, and low-risk groups were 56.8%, 51.5%, and 37.1%, respectively, P < 0.001) and extrahepatic metastasis (extrahepatic metastasis rates for high-, intermediate-, and low-risk groups were 31.7%, 26.4%, and 15.4%, respectively, P < 0.001). In terms of tumor characteristics, high-risk group patients had larger tumor diameters and were more likely to experience microvascular invasion, lymph node metastasis, and perineural invasion. Conclusions: The predictive capacity of postoperative recurrence and OS rates in ICC patients is effectively captured by the preoperative scoring system incorporating NLR and CA19-9 levels. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to compare hematological parameters preand early post-chemotherapy, and evaluate their values for predicting febrile neutropenia (FN). Methods: Patients diagnosed with malignant solid tumors receiving chemotherapy were included. Blood cell counts peri-chemotherapy and clinical information were retrieved from the hospital information system. We used the least absolute shrinkage and selection operator (LASSO) method for variable selection and fitted selected variables to a logistic model. We assessed the performance of the prediction model by the area under the ROC curve. Results: The study population consisted of 4,130 patients with common solid tumors receiving a three-week chemotherapy regimen in Sichuan Cancer Hospital from February 2019 to March 2022. In the FN group, change percentage of neutrophil count decreased less (-0.02, CI: -0.88 to 3.48 vs. -0.04, CI: -0.83 to 2.24). Among hematological parameters, lower postchemotherapy lymphocyte count (OR 0.942, CI: 0.934-0.949), change percentage of platelet (OR 0.965, CI: 0.955-0.975) and higher change percentage of post-chemotherapy neutrophil count (OR 1.015, CI: 1.011- 1.018), and pre-chemotherapy NLR (OR 1.002, CI: 1.002-1.002) predicted an increased risk of FN. These factors improved the predicting model based on clinical factors alone. The AUC of the combination model was 0.8275. Conclusion: Peri-chemotherapy hematological markers improve the prediction of FN. [ABSTRACT FROM AUTHOR]

Purpose: Malnutrition has a significant effect on the onset and progression of infective pathology. The malnutrition status in COVID-19 cases are not understood well. Prognostic Nutritional Index (PNI) is a new and detailed assessment of nutrition and inflammation cases. This study aims to investigate the effect of PNI on mortality in COVID-19 patients. Design/methodology/approach: In total, 334 patients (males, 142; females, 192; 64.5 ± 12.3 years of age) with COVID-19 bronchopneumonia were enrolled in this investigation. Cases were divided into two groups with respect to survival (Group 1: survivor patients, Group 2: non-survivor patients). Demographic and laboratory variables of COVID-19 cases were recorded. Laboratory parameters were calculated from blood samples taken following hospital admission. PNI was calculated according to this formula: PNI = 5 * Lymphocyte count (109/L) + Albumin value (g/L). Findings: When the patients were assessed with respect to laboratory values, leukocytes, neutrophils, CRP, ferritin, creatinine and D-Dimer parameters were significantly lower in Group 1 patients than Group 2 patients. Nevertheless, serum potassium value, lymphocyte count, calcium and albumin values were significantly higher in Group 1 cases than in Group 2 cases. PNI value was significantly lower in Group 2 cases than in Group 1 cases (39.4 ± 3.7 vs 53.1 ± 4.6). Originality/value: In this retrospective study of COVID-19 cases, it can be suggested that PNI may be a significant risk factor for mortality. In conclusion of this research, high-risk patients with COVID-19 can be determined early, and suitable medical therapy can be begun in the early duration. [ABSTRACT FROM AUTHOR]

Aims: Over 50% of breast cancer cases are "Human epidermal growth factor receptor 2 (HER2) low breast cancer (BC)", characterized by HER2 immunohistochemistry (IHC) scores of 1+ or 2+ alongside no amplification on fluorescence in situ hybridization (FISH) testing. The development of new anti‐HER2 antibody‐drug conjugates (ADCs) for treating HER2‐low breast cancers illustrates the importance of accurately assessing HER2 status, particularly HER2‐low breast cancer. In this study we evaluated the performance of a deep‐learning (DL) model for the assessment of HER2, including an assessment of the causes of discordances of HER2‐Null between a pathologist and the DL model. We specifically focussed on aligning the DL model rules with the ASCO/CAP guidelines, including stained cells' staining intensity and completeness of membrane staining. Methods and Results: We trained a DL model on a multicentric cohort of breast cancer cases with HER2‐IHC scores (n = 299). The model was validated on two independent multicentric validation cohorts (n = 369 and n = 92), with all cases reviewed by three senior breast pathologists. All cases underwent a thorough review by three senior breast pathologists, with the ground truth determined by a majority consensus on the final HER2 score among the pathologists. In total, 760 breast cancer cases were utilized throughout the training and validation phases of the study. The model's concordance with the ground truth (ICC = 0.77 [0.68–0.83]; Fisher P = 1.32e‐10) is higher than the average agreement among the three senior pathologists (ICC = 0.45 [0.17–0.65]; Fisher P = 2e‐3). In the two validation cohorts, the DL model identifies 95% [93% ‐ 98%] and 97% [91% ‐ 100%] of HER2‐low and HER2‐positive tumours, respectively. Discordant results were characterized by morphological features such as extended fibrosis, a high number of tumour‐infiltrating lymphocytes, and necrosis, whilst some artefacts such as nonspecific background cytoplasmic stain in the cytoplasm of tumour cells also cause discrepancy. Conclusion: Deep learning can support pathologists' interpretation of difficult HER2‐low cases. Morphological variables and some specific artefacts can cause discrepant HER2‐scores between the pathologist and the DL model. [ABSTRACT FROM AUTHOR]

Background: Limited information is available on the use of omalizumab (OMA) updosing since its introduction as a second‐line therapy in chronic spontaneous urticaria (CSU) in 2014. Practical guidelines from health authorities are lacking, and the specific characteristics of patients requiring higher doses remain unknown. Our objectives were to characterize the patterns of OMA updosing (defined as changes in dose and/or injection intervals), to identify the predictive factors associated with updosing, and to improve CSU management. Methods: We conducted a prospective, multicentric, real‐life observational study, including patients diagnosed with CSU and starting OMA. The data were collected at 0, 3, 6, and 9 months. The primary endpoint was the frequency of OMA updosing at 3 months. The secondary endpoints included an analysis of updosed patients' profile, and an assessment of OMA efficacy and safety. Results: We included 153 patients. Twenty percent of patients were updosed at 3 months, and 27% in total during the 9‐month follow‐up. Practitioners mainly chose to increase the frequency of injections (66%). At baseline, the updosed patients were more likely to have more severe CSU (UCT < 4, p < 0.030), a lower lymphocyte count (<2000/mm3, p = 0.037), and low IgE levels (<70 UI/mL, p = 0.024). The side effects of OMA were not more frequent after updosing. Conclusion: One in five patient underwent updosing within just 3 months. OMA updosing is frequent in particular in cases of severe disease and low IgE blood levels. [ABSTRACT FROM AUTHOR]

Pilot tends to have a high prevalence of dyslipidemia. The present study aimed to identify key factors of pilot hyperlipidemia through thorough analysis of physical examination data, and to provide pilot-targeted health guidance to manage hyperlipidemia risks. The physical examination data of 1,253 pilot inpatients from January 2019 to June 2022, were evaluated and divided into two groups based on whether or not the pilot had hyperlipidemia. A total of three multivariate analysis models including logistic model, multilevel model and boosting propensity score were applied to find the risk factors of pilot hyperlipidemia. In the group of pilots with hyperlipidemia, four risk factors, including thrombin time, carbohydrate antigen 199, lymphocyte count and rheumatoid factor, were significantly different from pilots without hyperlipidemia, which might be positively associated with the incidence of hyperlipidemia. In future studies regarding pilots, whether hyperlipidemia is connected to abnormalities in thrombin time, carbohydrate antigen 199 and rheumatoid factor should be further explored. Based on the findings of the present study, pilot health management should be more refined and personalized, and attention should be paid to the risk factors of hyperlipidemia including diet and lifestyle. [ABSTRACT FROM AUTHOR]

Background: The relationship between peripheral immune cells and immunoglobulin A nephropathy (IgAN) is widely known; however, causal evidence of this link is lacking. Here, we aimed to determine the causal effect of peripheral immune cells, specifically total white blood cells, lymphocytes, monocytes, basophils, eosinophils, and neutrophils, as well as lymphocyte subset traits, on the IgAN risk using a Mendelian randomization (MR) analysis. Methods: The inverse-variance weighted (IVW) method was used for the primary analysis. We applied three complementary methods, including the weighted median, MR-Egger regression, and MR-PRESSO, to detect and correct for the effect of horizontal pleiotropy. Additionally, we performed a multivariable MR (MVMR) analysis, adjusting for the effects of C-reactive protein (CRP) levels. The roles of specific lymphocyte subtypes and their significance have garnered interest. Bidirectional two-sample MR analysis was performed to test the potential causal relationships between immune traits, including median fluorescence intensities (MFIs) and the relative cell count (AC), and IgAN. Results: The IVW-MR analysis suggested a potential causal relationship between lymphocyte counts and IgAN in Europe (OR per 1-SD increase: 1.43, 95% CI: 1.08-1.88, P = 0.0123). The risk effect of lymphocytes remained even after adjusting for CRP levels using the MVMR method (OR per 1-SD increase: 1.44, 95% CI: 1.05-1.96, P = 0.0210). The other sensitivity analyses showed a consistent trend. The largest GWAS published to date was used for peripheral blood immunophenotyping to explore the potential causal relationship between peripheral immune cell subsets and IgAN. Six AC--IgAN and 14 MFI--IgAN pairs that reached statistical significance (P < 0.05) were detected. Notably, CD3, expressed in eight subsets of T cells, consistently showed a positive correlation with IgAN. The bidirectional MR analysis did not reveal any evidence of reverse causality. According to the sensitivity analysis, horizontal pleiotropy was unlikely to distort the causal estimates. Conclusions: Genetically determined high lymphocyte counts were associated with IgAN, supporting that high lymphocyte counts is causal risk factor for IgAN. [ABSTRACT FROM AUTHOR]

Background: The immunological background responsible for the severe course of COVID-19 and the immune factors that protect against SARS-CoV-2 infection are still unclear. The aim of this study was to investigate immune system status in persons with high exposure to SARS-CoV-2 infection. Methods: Seventy-one persons employed in the observation and infectious diseases unit were qualified for the study between November 2020 and October 2021. Symptomatic COVID-19 was diagnosed in 35 persons. Anti-SARS-CoV-2 antibodies were also found in 8 persons. Peripheral blood mononuclear cells subpopulations were analyzed by flow cytometry, and the concentrations of cytokines and anti-SARS-CoV-2 antibodies were determined by ELISA. Results: The percentages of cytotoxic T lymphocytes (CTLs), CD28+ and T helper (Th) cells with invariant T-cell receptors were significantly higher in persons with symptomatic COVID-19 than in those who did not develop COVID-19' symptoms. Conversely, symptomatic COVID-19 persons had significantly lower percentages of: a) CTLs in the late stage of activation (CD8+/CD95+), b) NK cells, c) regulatory-like Th cells (CD4+/CTLA-4+), and d) Th17-like cells (CD4+/CD161+) compared to asymptomatic COVID-19' persons. Additionally, persons with anti-SARS-CoV-2 antibodies had a significantly higher lymphocyte count and IL-6 concentration than persons without these antibodies. Conclusion: Numerous lymphocyte populations are permanently altered by SARS-CoV-2 infection. High percentages of both populations: NK cells—as a part of the non-specific response, and T helper cells' as those regulating the immune response, could protect against the acute COVID-19 symptoms development. Understanding the immune background of COVID-19 may improve the prevention of this disease by identifying people at risk of a severe course of infection. Trial registration: This is a retrospective observational study without a trial registration number. [ABSTRACT FROM AUTHOR]

Background: Systemic lupus erythematosus (SLE) has been less deadly since the advent of corticosteroid-sparing medications. SLE patients still have a higher mortality rate than the general population. Infectious disease is reported as one of the major causes of death in patients with SLE. Although bacteria are the most often isolated pathogens from patients with SLE, Pneumocystis jirovecii pneumonia (PJP) is more deadly than bacterial infection. Methods: We retrospectively enrolled consecutive patients with SLE concurrent with PJP (SLE-PJP) in our center between January 2014 and December 2022. The participants were classified into two groups: survivors and non-survivors. Cox regression models and Kaplan‒Meier survival analyses were conducted to explore prognostic factors for survival. Results: There were 57 patients with SLE (42.0 ± 15.8 years old, 78.9% female) complicated with PJP, 22 (38.6%) of whom died. Compared with the survival group, the non-survival group had more patients with hyperglycemia or diabetes mellitus, invasive ventilation (p < 0.01), respiratory failure, intensive care unit admission, non-invasive ventilation, and hospital-acquired pneumonia (p < 0.05). The non-survival group showed a higher neutrophil percentage, lactate dehydrogenase, D-dimer (p < 0.001), urea, high-sensitivity C-reactive protein (hsCRP), erythrocyte sedimentation rate (ESR), and ferritin (p < 0.05). It also had lower minimal albumin, hemoglobin (p < 0.001), immunoglobulin G, complement 3, peripheral lymphocyte count, platelet, NK cell count, and CD4+ T-cell count (p < 0.05). Multivariate analysis indicated that hyperglycemia or diabetes mellitus (HR = 4.25, p < 0.01, 95% CI: 1.51–11.97), thrombocytopenia (HR = 4.22, p < 0.01, 95% CI: 1.63–10.91) and lower complement 3 (C3) (HR = 4.06, p < 0.01, 95% CI: 1.60-10.33) were independent risk factors for the survival of SLE-PJP patients. Conclusions: The mortality rate of patients with SLE-PJP is still high. Hyperglycemia, decreased C3, and thrombocytopenia are independent survival risk factors. [ABSTRACT FROM AUTHOR]

Background: In sepsis, the relationship between lymphocyte counts and patient outcomes is complex. Lymphocytopenia and lymphocytosis significantly influence survival, illustrating the dual functionality of lymphocytes in responding to infections. This study investigates this complex interaction, focusing on how variations in lymphocyte counts correlate with all-cause hospital mortality among sepsis patients. Methods: This retrospective cohort study analyzed data from two extensive critical care databases: the Medical Information Mart for Intensive Care IV 2.0 (MIMIC-IV 2.0) from Beth Israel Deaconess Medical Center, Boston, Massachusetts, and the eICU Collaborative Research Database (eICU-CRD), which was Multi-center database from over 200 hospitals across the United States conducted by Philips eICU Research Institute. We included adult patients aged 18 years and older who met the Sepsis-3 criteria, characterized by documented or suspected infection and a Sequential Organ Failure Assessment (SOFA) score of 2 or higher. Sepsis patients were categorized into quartiles based on lymphocyte counts. The primary outcome was all-cause mortality in the hospital, with 90 and 60-day all-cause mortality as the secondary outcomes. Univariable and multivariable Cox proportional hazard regressions were utilized to assess lymphocyte counts' impact on hospital mortality. An adjusted restricted cubic spline (RCS) analysis was performed to elucidate this relationship further. Subgroup analyses were also conducted to explore the association across various comorbidity groups among sepsis and septic shock patients. Results: Our study included 37,054 patients, with an observed in-hospital mortality rate of 16.6%. Univariable and multivariable Cox proportional hazard regression models showed that lymphocyte counts were independently associated with in-hospital mortality (HR = 1.04, P < 0.01; HR = 1.06, P < 0.01). RCS regression analysis revealed a U-shaped relationship between lymphocyte levels and hospital mortality risk in sepsis and septic shock patients (P for overall < 0.001, P for nonliner < 0.01; P for overall = 0.002, P for nonliner = 0.014). Subgroup analyses revealed that elevated lymphocyte counts correlated with increased hospital mortality among sepsis patients with liver disease and requiring renal replacement therapy (P for overall = 0.021, P for nonliner = 0.158; P for overall = 0.025, P for nonliner = 0.759). These findings suggest that lymphocytes may have enhanced prognostic value in specific subsets of critically ill sepsis patients. Conclusion: Our findings demonstrate that lymphocyte counts are a significant independent predictor of hospital mortality in sepsis and septic shock patients. We observed a U-shaped association between lymphocyte levels and mortality risk, indicating that high and low counts are linked to increased mortality. This result highlights the complex role of lymphocytes in sepsis outcomes and suggests the need for further investigation into the underlying mechanisms and potential therapeutic approaches. Integrating lymphocyte count assessment into risk stratification algorithms and clinical decision support tools could enhance the early identification of high-risk sepsis patients. [ABSTRACT FROM AUTHOR]

Background: The immunological background responsible for the severe course of COVID-19 and the immune factors that protect against SARS-CoV-2 infection are still unclear. The aim of this study was to investigate immune system status in persons with high exposure to SARS-CoV-2 infection. Methods: Seventy-one persons employed in the observation and infectious diseases unit were qualified for the study between November 2020 and October 2021. Symptomatic COVID-19 was diagnosed in 35 persons. Anti-SARS-CoV-2 antibodies were also found in 8 persons. Peripheral blood mononuclear cells subpopulations were analyzed by flow cytometry, and the concentrations of cytokines and anti-SARS-CoV-2 antibodies were determined by ELISA. Results: The percentages of cytotoxic T lymphocytes (CTLs), CD28+ and T helper (Th) cells with invariant T-cell receptors were significantly higher in persons with symptomatic COVID-19 than in those who did not develop COVID-19' symptoms. Conversely, symptomatic COVID-19 persons had significantly lower percentages of: a) CTLs in the late stage of activation (CD8+/CD95+), b) NK cells, c) regulatory-like Th cells (CD4+/CTLA-4+), and d) Th17-like cells (CD4+/CD161+) compared to asymptomatic COVID-19' persons. Additionally, persons with anti-SARS-CoV-2 antibodies had a significantly higher lymphocyte count and IL-6 concentration than persons without these antibodies. Conclusion: Numerous lymphocyte populations are permanently altered by SARS-CoV-2 infection. High percentages of both populations: NK cells—as a part of the non-specific response, and T helper cells' as those regulating the immune response, could protect against the acute COVID-19 symptoms development. Understanding the immune background of COVID-19 may improve the prevention of this disease by identifying people at risk of a severe course of infection. Trial registration: This is a retrospective observational study without a trial registration number. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to evaluate the clinical effect of mixed nutrition and parenteral nutrition support on postoperative patients with esophageal cancer. Method: By searching PubMed, Web of Science, Cochrane, CNKI, Wanfang and other databases, all the literatures until March 2024 about the comparison of randomized controlled Trial (RCT) of mixed nutrition and parenteral nutrition support in postoperative patients with esophageal cancer were screened. The inclusion criteria were that the patients were from randomized controlled trials or clinical trials in China, and the patients were all diagnosed with esophageal cancer by pathological biopsy. The exclusion criteria were the literature other than the above, including repeated published literature, non-Chinese and English literature, incomplete or missing analysis data, etc. After two researchers independently screened the literature, extracted the data and evaluated the risk of bias according to the criteria, Meta-analysis was carried out with RevMan 5.4 software. Results: A total of 11 studies were included, including 1216 patients. Metaanalysis showed that, compared with parenteral nutrition, mixed nutrition can improve the levels of transferrin, serum albumin, prealbumin and lymphocyte counts in patients with esophageal cancer after surgery, shorten the time of anal recovery of exhaust, defecation and hospital stay after surgery, and reduce the incidence of pulmonary infection, abdominal distension, incision infection and anastomotic fistula, with statistical significance between the two groups (P < 0.05). The heterogeneity of individual results in this study is relatively high, the analysis comes from clinical heterogeneity, and the publication bias is analyzed through Funnel plot. Taking the incidence of lung infection as an example, the results are evenly distributed on both sides of the Funnel plot, and the publication bias has little impact on the results of the study. Conclusion: Compared with parenteral nutrition, mixed nutrition can improve the prognosis of postoperative patients with esophageal cancer and reduce the incidence of related adverse events. [ABSTRACT FROM AUTHOR]

While previous observational studies have suggested a link between leukocyte counts and vascular dementia (VD), the causal relationship between leukocyte counts and various subtypes of VD remains elusive. This study aimed to investigate the causal relationship between five types of leukocyte counts and VD, with the goal of improving prevention and treatment strategies. In this study, leukocyte counts were used as the exposure variable, with genome-wide association study (GWAS) data sourced from both the UK Biobank and the Blood Cell Consortium. Additionally, GWAS data for five subtypes of vascular dementia were obtained from the FinnGen database. We conducted rigorous statistical analysis and visualization using Mendelian randomization (MR) to elucidate the potential causal relationship between leukocyte counts and vascular dementia. This study, utilizing MR analysis with data from the UK Biobank and Blood Cell Consortium, identified significant causal associations between increased lymphocyte counts and VD. Specifically, lymphocyte counts were found to be causally related to multiple and mixed VD subtypes. Sensitivity analyses, including MR-Egger regression and MR-PRESSO tests, confirmed the robustness of these findings, with no evidence of reverse causality or significant horizontal pleiotropy detected. The results underscore a potential inflammatory or immunological mechanism in the pathogenesis of VD, highlighting lymphocytes as a key component in their etiology. This investigation establishes a robust association between elevated lymphocyte and leukocyte counts and an increased risk of VD, emphasizing the roles of inflammation, immune activation, and hematological factors in disease pathogenesis. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to evaluate the association between stress hyperglycemia ratio (SHR) and poor functional outcomes at 90 days in patients with acute ischemic stroke (AIS). Methods: This study retrospectively collected 1988 AIS patients admitted to two hospitals in the Shenzhen area between January 2022 and March 2023. A total of 1255 patients with Fasting Blood-glucose (FBG) and hemoglobin A1c (HbA1C) values at admission were included in this analysis. SHR, measured by FBG/HbA1C, was evaluated as both a tri-categorical variable (Tertile 1: ≤ 0.83; Tertile 2: 0.84 -0.95; Tertile 3: ≥ 0.96). The outcome was poor functional outcomes (modified Rankin Scale [mRS] score 2–6) at 90 days. We performed univariate analysis, multiple equation regression analysis, stratified analysis, and interactive analysis. Results: Compared with patients in the lowest tertile of SHR, the highest tertile group had significantly lower odds of achieving poor functional outcomes (adjusted odds ratio, OR = 2.84, 95% CI: 2.02–3.99, P < 0.0001) at 90 days after adjusting for potential covariates. Similar results were observed after further adjustment for white blood cell count, neutrophil count, lymphocyte count, fasting blood glucose, stroke type, intravenous thrombolytic therapy, baseline Glasgow score, and baseline NIHSS score. Conclusion: SHR, as measured by the FBG/HbA1C, was associated with an increased odds of achieving poor functional outcomes in patients with AIS at 90 days. [ABSTRACT FROM AUTHOR]

Introduction: Radiation induced lymphopenia (RIL) deteriorate survival and diminishes the benefit of immune checkpoint inhibitors in combined treatment of lung cancer. Given the inconsistent data across various studies on the predictors of RIL, we aim to methodically elucidate these predictors and formulate a practical guide for clinicians. Methods: We conducted observational cohort study in four tertiary cancer centers. Patients with non-small cell lung cancer and small cell lung cancer, without lymphopenia grade >1, who underwent standalone radiotherapy (RT) in minimum 15 fractions were eligible. Dose-volume parameters of structures and clinical factors were comprehensively analyzed using various predictors selection methods and statistical models (Linear Regressors, Elastic Net, Bayesian Regressors, Huber Regression, regression based on k-nearest neighbors, Gaussian Process Regressor, Decision Tree Regressor, Random Forest Regressor, extreme Gradient Boosting, Automated Machine Learning) and were ranked to predict lymphocytes count nadir (alc_nadir). Results: Two hundred thirty eight patients (stage I-3.4%, II-17.6%, III-75.2%, IV- 3.8%) who underwent RT to median dose of 60 Gy were analyzed. Median alc_nadir was 0.68K/mm³. The 60 feature sets were evaluated in 600 models (RMSE 0.27-0.41K/mm³). The most important features were baseline lymphocyte count (alc_1), mean lung_dose, lung v05, lung v10, heart v05 and effective dose to immune cells (edic). In patients with alc_1 < 2.005K/mm³, median alc_nadir predictions were 0.54K/mm³ for lung_v05p > 51.8% and 0.76K/mm³ for lung_v05p ≤ 51.8%. Lymphopenia was rare in patients with alc_1 > 2.005K/mm³. Discussion: RIL was most severe in patients with low early lymphocyte counts, primarily triggered by low RT doses in the heart and lungs. [ABSTRACT FROM AUTHOR]

Simple Summary: An Aeromonas veronii strain, isolated from bronze gudgeon, was identified as a significant cause of morbidity and mortality. Through bacterial isolation, virulence gene analysis, and physiological characterization, we identified this bacterium as containing the act, alt, lip, LuxS, and ascV genes, which are distinct from those reported in infections of other aquatic animals. Designated as strain WH10, this is the first documented instance of Aeromonas veronii infecting bronze gudgeon. Our findings provide new insights into the mechanisms of bacterial transmission and underscore the necessity for further research into Aeromonas veronii pathogenesis. Aeromonas veronii, an opportunistic pathogen toward aquatic organisms, was identified as the causative pathogen (isolate WH10) in diseased bronze gudgeon via bacterial isolation, and morphological, physiological, biochemical, and molecular characterization. WH10 exerted its pathogenicity via five virulence genes, including those encoding cytotoxic enterotoxins (act and alt), lipase (lip), a quorum sensing-controlled virulence factor (LuxS), and a Type III secretion system inner membrane component (ascV). WH10 was shown to be sensitive to compound sulfamethoxazoles, cefothiophene, doxycycline, and sulfamethoxazole. Toward bronze gudgeon, WH10 had a median lethal dose (LD50) of 1.36 × 106 colony forming units/mL. Analysis of blood parameters of diseased fish revealed significant increases in monocytes and neutrophils, but decreased numbers of lymphocytes. Serum aspartate aminotransferase activity and triglyceride concentration were significantly higher in diseased fish than in healthy fish. The reverse was noted for alkaline phosphatase, total protein, albumin, total cholesterol, and glucose. Thus, Aeromonas veronii is implicated as the causative agent of the mass mortality observed in bronze gudgeon, warranting further investigations into the diagnosis, epidemiology, prevention, and treatment of this infectious disease. [ABSTRACT FROM AUTHOR]

Background: Since the HIV epidemic in the 1980s, CMV retinitis has been mainly reported in this context. CMV retinitis in persons living with HIV is usually observed when CD4 + cells are below 50 cells/mm3. This study aims to describe the immune markers of non-HIV-related CMV retinitis as well as to describe its clinical manifestations and outcomes. Methods: Retrospective chart review of consecutive patients with CMV retinitis not related to HIV seen at the uveitis clinic of Jules Gonin Eye Hospital between 2000 and 2023. We reported the clinical manifestations and outcomes of the patients. We additionally assessed immune markers during CMV retinitis (leukocyte, lymphocyte, CD4 + cell and CD8 + cell counts as well as immunoglobulin levels). Results: Fifteen patients (22 eyes) were included. Underlying disease was hematologic malignancy in 9 patients, solid organ transplant in 3 patients, rheumatic disease in 2 patients and thymoma in one patient. The median time between the onset of underlying disease and the diagnosis of retinitis was 4.8 years. Lymphopenia was observed in 8/15 patients (mild = 3, moderate = 4, severe = 1), and low CD4 counts were observed in 9/12 patients, with less than 100 cells/mm3 in 4 patients. Hypogammaglobulinemia was detected in 7/11 patients. Retinitis was bilateral in 7/15 patients, and severe visual loss was frequent (5/19 eyes). Disease recurrence was seen in 7/13 patients at a median time of 6 months after initial diagnosis. No differences in immune markers were observed in patients with vs. without recurrence. Conclusion: CMV retinitis is a rare disorder that can affect patients suffering any kind of immunodeficiency. It is associated with a high visual morbidity despite adequate treatment. CD4 + cell counts are usually higher than those in HIV patients, but B-cell dysfunction is common. [ABSTRACT FROM AUTHOR]

BACKGROUND: Leukocyte count is a prognostic marker for cardiovascular diseases, with key role in atherosclerosis development. Specific number of neutrophils, lymphocytes and monocytes can predict cardiovascular risk, also in asymptomatic subjects. Among the lipoprotein fractions, HDL-C is a protective factor in the cardiovascular disorders. For the above reason, we have examined the peripheral count of leukocytes, neutrophils, lymphocytes and monocytes, and the ratios between neutrophils/HDL-cholesterol, lymphocytes/HDL-cholesterol, and monocytes/HDL-cholesterol, to evaluate the possible utility of the obtained values in progression of asymptomatic carotid atherosclerosis. METHODS: We performed our analysis in a cohort of 100 subjects with asymptomatic carotid atherosclerosis, of which 43 men and 57 women. The data were expressed as medians and IQR. To analyse the differences in leukocyte, neutrophil, lymphocyte, monocytes count and their ratio with HDL-cholesterol the Mann-Whitney test was employed. RESULTS: The peripheral count of leukocyte subtypes and the ratios, they change in relation to the number of cardiovascular risk factors and the degree of insulin resistance. CONCLUSIONS: In this cohort of subjects, the percentage of observed cardiovascular risk factors significantly affect some leukocyte parameters. These results, allow us to underline the importance of the leukocyte indices in the evaluation of subjects with asymptomatic vascular atherosclerosis. [ABSTRACT FROM AUTHOR]

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Autoimmune thyroid diseases (AITDs), mainly including Graves' disease (GD) and Hashimoto's thyroiditis (HT), are common autoimmune disorders characterized by abnormal immune responses targeting the thyroid gland. We conducted a bidirectional two-sample MR analysis using the largest dataset of peripheral immune cell phenotypes from Sardinia, and the AITD dataset from the 10th round of the FinnGen and the UK Biobank project. Instrumental variables (IVs) were rigorously selected based on the three assumptions of MR and analyzed using the Wald ratio, inverse-variance weighted (IVW), MR-Egger, and weighted median methods. Additionally, sensitivity analyses were performed using Cochrane's Q, the Egger intercept, the MR-PRESSO, and the leave-one-out (LOO) method to ensure the robustness of the results. The Steiger test was utilized to identify and exclude potential reverse causation. The results showed that 3, 3, and 11 immune cell phenotypes were significantly associated with the risk of AITD. In GD, the proportion of naive CD4-CD8- (DN) T cells in T cells and the proportion of terminally differentiated CD4+T cells in T cells showed the strongest inducing and protective effects, respectively. In HT, lymphocyte count and CD45 on CD4+T cells showed the strongest inducing and protective effects, respectively. In autoimmune hypothyroidism, CD127 CD8+T cell count and terminally differentiated DN T cell count exhibited the strongest inducing and protective effects, respectively. Through MR analysis, our study provides direct genetic evidence of the impact of immune cell traits on AITD risk and lays the groundwork for potential therapeutic and diagnostic target discovery. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study is to assess the impact of physical activity on both therapeutic efficacy and immune-related adverse events (irAEs) during immunotherapy for non-small cell lung cancer (NSCLC). Methods: Physical activity was divided into three groups: light physical activity (LPA), moderate physical activity (MPA), and vigorous physical activity (VPA) for laboratory indexes, efficacy, and irAEs. A multivariate logistic regression was employed to analyze the relationship between sedentary behavior with efficacy and irAEs. Results: The study included 121 patients. The three levels of physical activity were not significantly associated with efficacy or irAEs. However, noteworthy disparities were observed in base-hemoglobin levels (F = 3.4, P = 0.037) and base-lymphocyte levels (χ2 = 6.13, P = 0.047) among the three groups. After treatment, we identified statistically significant variations in albumin levels (P = 0.012) and lymphocyte counts (P = 0.035). Furthermore, a negative correlation emerged between pre-treatment sedentary behavior duration and immune-efficacy (β: −0.005, P = 0.027). Conclusions: In summary, within the cohort of NSCLC patients undergoing single immunotherapy or a combination of immunotherapy and chemotherapy, physical activity is closely related to immune and inflammatory indicators in patients, and prolonged sitting will reduce the therapeutic effect. [ABSTRACT FROM AUTHOR]

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. Abnormalities in the peripheral immune system in ALS have been paid attention; however, the results of changes in peripheral immune parameters were inconsistent. A total of 1109 ALS patients were enrolled in the study. All patients received clinical evaluation and peripheral immune parameters measurement. The outcomes were analyzed by correlation analysis, multiple linear regression and cox survival analysis. We found that ALS patients had significantly higher percentage of CD4+ T cells (39.3 vs. 37.1%, p < 0.001) and CD4+/CD8+ ratio (1.88 vs. 1.72, p = 0.011), significantly lower IgG (11.73 vs.12.82, p < 0.001) and IgA (2130.70 vs. 2284.8, p = 0.013) compared with the health controls. In the multivariate linear model, we found that each increase of 1.262, 0.278, and 4.44E-4 in ALSFRS-R scores were significantly associated with each increment of lymphocyte count, IgG, and IgA, respectively. However, each decrease of 0.341, 0.068, and 0.682 in ALSFRS-R score was associated with each increment in neutrophils, CD4+ T cells, and CD4+/CD8+ ratio, respectively. Cox survival regression analysis showed that the death risk of ALS patients was related to the levels of C3 (HR 0.592, 95% CI 0.361–0.973). We found that there were differences in peripheral immune parameters of ALS patients with the severity of the disease, especially neutrophil, lymphocyte, CD4+ T, and IgG; C3 is an independent predictor of survival in ALS patients. More studies are needed to elucidate the mechanisms associated with altered immune parameters in ALS. [ABSTRACT FROM AUTHOR]

Background: Patients with head and neck squamous cell carcinoma (HNSCC) frequently develop synchronous esophageal cancer (ESCC), but there is a lack of clinical predictors. The neutrophil to lymphocyte (NLR), platelet to lymphocyte (PLR), and lymphocyte to monocyte ratios (LMRs), reflect the balance between pro‐cancer inflammation and anti‐cancer immune responses, but their role in HNSCC and synchronous cancer remain uncertain. Method: The study consecutively enrolled a total of 717 patients with newly diagnosed HNSCC who received pre‐treatment esophageal endoscopic screening. The pretreatment NLR, LMR and PLRs were calculated and analyzed in comparison with the clinical factors. Results: A total of 103 patients (14.4%) were found to have synchronous ESCCs, and were associated with a significantly lower absolute lymphocyte count (p < 0.001), higher NLRs (p = 0.044) and lower LMRs (p = 0.001), but not PLRs (p = 0.49). The ROC curve for the presence of synchronous ESCC verified the optimal cutoff value as 2.5 for NLRs and 4.0 for LMRs. Multivariable logistic regression revealed that a LMR <4 (OR 2.22; 95% CI 1.27–3.88, p = 0.005), alcohol consumption (OR 4.19; 95% CI 1.47–11.91, p = 0.007), tumor location over the pharynx (OR 1.68; 95% CI 1.07–2.64, p = 0.025), and low body mass index (OR 0.94; 95% CI 0.88–0.99, p = 0.039) were risk factors for developing synchronous ESCC. A low‐LMR was significantly associated with decreases in overall survival (p < 0.0001), in both synchronous and non‐synchronous groups. Multivariate analysis demonstrated that LMR <4 (HR 1.97; 95% CI 1.38–2.81, p < 0.001), a low‐BMI (HR 0.96; 95% CI 0.93–0.99, p = 0.044) and presence of synchronous ESCC (HR 1.56; 95% CI 1.10–2.22, p = 0.013) were independent prognostic factors for HNSCC patients. Conclusion: Incorporation of LMR into other identified risk factors, such as alcohol consumption, tumor location over pharynx, and low‐BMI, may establish a more efficient screening program for esophageal exploration in HNSCC patients. The significances of LMR also suggest that anti‐cancer immunity may play a role in the filed cancerization to initiate multiple cancers, and the immunotherapy may have potentials for prevention or as an adjuvant treatment for synchronous SCC in the future. [ABSTRACT FROM AUTHOR]

Aims: To investigate the relationship between peripheral blood lymphocyte subsets and prognosis in patients with acute ischemic stroke (AIS). Methods: We enrolled 294 patients with AIS and collected peripheral blood samples for analysis of lymphocyte subsets. Prognosis was assessed at 3 months using the modified Rankin Scale (mRS). Association between lymphocyte count and poor outcomes (mRS score >2) was assessed using logistic regression. Individualized prediction models were developed to predict poor outcomes. Results: Patients in the mRS score ≤2 group had higher T‐cell percentage (odds ratio [OR] = 0.947; 95% confidence interval [CI]: 0.899–0.998; p = 0.040), CD3+ T‐cell count (OR = 0.999; 95% CI: 0.998–1.000; p = 0.018), and CD4+ T‐cell count (OR = 0.998; 95% CI: 0.997–1.000; p = 0.030) than those in the mRS score >2 group 1–3 days after stroke. The prediction model for poor prognosis based on the CD4+ T‐cell count showed good discrimination (area under the curve of 0.844), calibration (p > 0.05), and clinical utility. Conclusion: Lower T cell percentage, CD3+, and CD4+ T‐cell counts 1–3 days after stroke were independently associated with increased risk of poor prognosis. Individualized predictive model of poor prognosis based on CD4+ T‐cell count have good accuracy and may predict disease prognosis. [ABSTRACT FROM AUTHOR]

Introduction: The objective of this study was to stratify preoperative immune cell counts by cancer specific outcomes in patients with renal cell carcinoma (RCC) and a tumor thrombus after radical nephrectomy with tumor thrombectomy. Methods: Patients with a diagnosis of RCC with tumor thrombus that underwent radical nephrectomy with thrombectomy across an international consortium of seven institutions were included. Patients who were metastatic at diagnosis and those who received preoperative medical treatment were also included. Retrospective chart review was performed to collect demographic information, past medical history, preoperative lab work, surgical pathology, and follow up data. Neutrophil counts, lymphocyte counts, monocyte counts, neutrophil to lymphocyte ratios (NLR), lymphocyte to monocyte ratios (LMR), and neutrophil to monocyte ratios (NMR) were compared against cancer-specific outcomes using independent samples t -test, Pearson's bivariate correlation, and analysis of variance. Results: One hundred forty-four patients were included in the study, including nine patients who were metastatic at the time of surgery. Absolute lymphocyte count preoperatively was greater in patients who died from RCC compared to those who did not (2 vs 1.4; p < 0.001). Patients with tumor pathology showing perirenal fat invasion had a greater neutrophil count compared to those who did not (7.5 vs 5.5; p = 0.010). Patients with metastatic RCC had a lower LMR compared to those without metastases after surgery (2.5 vs 3.2; p = 0.041). Tumor size, both preoperatively and on gross specimen, had an interaction with multiple immune cell metrics (p < 0.05). Conclusions: Preoperative immune metrics have clinical utility in predicting cancer-specific outcomes for patients with RCC and a tumor thrombus. Additional study is needed to determine the added value of preoperative serum immune cell data to established prognostic risk calculators for this patient population. [ABSTRACT FROM AUTHOR]

Background/Objectives: As COVID-19 can be severe, early predictive markers of both severity and onset of secondary bacterial infections are needed. This study first examined changes over time in the levels of plasma neopterin (NP) and biopterins (BPs), among others, in patients with COVID-19 and then in those with secondary bacterial infection complications. Methods: Fifty-two patients with COVID-19 admitted to two tertiary care centers were included. They were divided into a severe group (intubated + mechanical ventilation) (n = 10) and a moderate group (non-intubated + oxygen administration) (n = 42), and changes over time in plasma NP, plasma BPs, IFN-γ, lymphocyte count, CRP, and IL-6 were investigated. Four of the patients in the severe group (n = 10) developed secondary bacterial infections during treatment. Plasma NP and plasma BPs of patients with bacterial sepsis (no viral infection) (n = 25) were also examined. Results: The plasma NP, IL-6, CRP, and SOFA levels were significantly higher in the severe group, while the IFN-γ level and lymphocyte count were significantly lower. The higher plasma NP in the severe group persisted only up to 1 week after symptom onset. The plasma BPs were higher in complications of bacterial infection. Conclusions: The timing of sample collection is important for assessing severity through plasma NP, while plasma BPs may be a useful diagnostic tool for identifying the development of secondary bacterial infection in patients with COVID-19. Further investigation is needed to clarify the mechanism by which NP and BPs, which are involved in the same biosynthetic pathway, are differentially activated depending on the type of pathogen. [ABSTRACT FROM AUTHOR]

Acute ischemic stroke (AIS) is a cerebrovascular disease that seriously affects the physical and mental health and quality of life of patients. However, there is a lack of reliable prognostic prediction methods. The main objective of this study was to investigate the prognostic value of long non-coding RNA (lncRNA) H19 in lymphocytes of patients with AIS, and to construct a prognostic prediction model for AIS including lncRNA H19 in lymphocytes, which would provide new ideas for the prognostic evaluation of AIS. Poor prognosis was defined when the patient's modified Rankin scale (mRS) score at 3 months after AIS onset was greater than 2. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to measure the level of lncRNA H19 in lymphocytes. Spearman correlation analysis revealed a positive correlation between lncRNA H19 and mRS score at 3 months after AIS onset (r = 0.1977, p = 0.0032), while lncRNA H19 was negatively correlated with white blood cells counts, lymphocytes counts, and neutrophils counts. Logistic regression analysis identified lncRNA H19 as an independent predictor of poor prognosis (OR = 3.062 [1.69–5.548], p < 0.001). Moreover, a nomogram prediction model incorporating lncRNA H19 in lymphocytes demonstrated effective discrimination, calibration, and clinical applicability in predicting AIS outcomes. The findings suggest that lncRNA H19 in lymphocytes could be a valuable prognostic indicator and a potential pharmacological target for AIS patients, and might be a novel pathway for enhanced prognostic evaluation and targeted therapeutic strategies. [ABSTRACT FROM AUTHOR]

Objective: This study aims to investigate the correlation between changes in bone mineral density (BMD) in postmenopausal women and circulating inflammatory markers. Methods: This retrospective study focused on postmenopausal women admitted to the orthopedic department of Suzhou Benq Medical Center from June 2022 to December 2023, following predetermined inclusion and exclusion criteria. We retrospectively collected data on initial blood routine test results and bone density measurements for all study subjects upon admission, including parameters such as white blood cell count (WBC), C‐reactive protein, interleukin‐6 (IL‐6), and procalcitonin (PCT). Additionally, the systemic immune‐inflammation index (SII) was calculated using neutrophil count, lymphocyte count, and platelet count. Statistical analyses using SPSS and GraphPad software were performed to assess the correlation between bone density and inflammatory markers. Results: Patients were classified into three groups based on BMD results, including 60 individuals in the osteoporosis (OP) group, 127 individuals in the osteopenia group, and 37 individuals in the Normal group, respectively. Principal component analysis analysis suggested that WBC, SII, and postmenopausal OP (PMOP) held significant feature values. Correlation analysis indicated a correlation between WBC (p = 0.021), IL‐6 (p = 0.044), SII (p = 0.034), and PMOP. One‐way ANOVA analysis revealed significant differences in IL‐6 (p = 0.0179), SII (p = 0.0210), and PCT (p = 0.0200) among the three groups. Finally, ROC curve analysis demonstrated that SII (area under the curve = 0.716) has predictive value for PMOP. Conclusion: This study identified a certain predictive value for PMOP through the assessment of inflammatory markers in peripheral blood using routine blood tests. [ABSTRACT FROM AUTHOR]

Introduction: Endovascular aortic repair (EVAR) is commonly used for abdominal aortic aneurysms, but its mortality rate remains high. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, which measures hemoglobin, albumin, lymphocyte, and platelet levels, provides prognostic value by reflecting the nutritional status and systemic inflammation. This study aimed to explore the relationship between the HALP score upon admission and long-term mortality in patients with EVAR. Methods: Consecutive patients with EVAR at our tertiary center from October 2010 to August 2021 were retrospectively analyzed. HALP scores were calculated using the following formula: hemoglobin (g/L) x albumin (g/L) x lymphocyte count (/L)/platelet count (/L). In-hospital and long-term mortality data were extracted. Receiver operating characteristic curve analysis identified predictors of in-hospital mortality. Multivariate Cox regression analysis was performed to examine determinants of long-term mortality. Results: Among the 162 participants (mean age: 69.4±8.2 years, 90.1% male), the HALP score was the most significant predictor of in-hospital mortality (area under the curve: 0.752, 95% confidence interval: 0.674-0.830; p<0.001). Multivariate Cox regression analysis revealed HALP (p=0.001) and C-reactive protein (p=0.004) as independent determinants of long-term mortality. Conclusion: This study is the first to investigate the association between the HALP score and in-hospital and long-term mortality in EVAR patients. The HALP score is a robust prognostic tool compared with its components and other parameters in this patient population. [ABSTRACT FROM AUTHOR]

Simple Summary: Nutritional status is closely related to the outcomes of cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC). However, the prognostic value of the Controlling Nutritional Status (CONUT) score in CRS-HIPEC has not yet been investigated. This study evaluated the predictive power of the CONUT score for mortality and postoperative complications after CRS-HIPEC. We found that patients with high CONUT score exhibited significantly higher 1-year mortality and postoperative complication rates than those with low CONUT score. Notably, a high CONUT score was identified as an independent risk factor for 1-year mortality and postoperative complications. These results suggest the potential of the CONUT score as a robust risk stratification tool for identifying high-risk patients within the CRS-HIPEC surgical demographic. The Controlling Nutritional Status (CONUT) score is a novel nutritional index that integrates the serum albumin level, peripheral blood lymphocyte count, and total cholesterol level. This retrospective study explores its prognostic significance in patients undergoing cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC). We included 436 patients who underwent CRS-HIPEC, categorized into low (0–3) and high (4–12) CONUT score groups, and performed logistic regression analysis to predict one-year mortality and postoperative morbidity. Our findings revealed that high CONUT scores correlate with increased one-year mortality (47.1% vs. 20.3%, p < 0.001) and morbidity (39.2% vs. 18.2%, p < 0.001) compared to low CONUT scores. Multivariable regression analysis confirmed high CONUT scores as independent predictors of one-year mortality (odds ratio: 2.253, 95% CI: 1.014–5.005, p = 0.046) and postoperative morbidity (odds ratio: 2.201, 95% CI: 1.066–4.547, p = 0.033). These results underscore the CONUT score's effectiveness as an independent marker for evaluating risks associated with CRS-HIPEC, emphasizing its potential to improve risk stratification. [ABSTRACT FROM AUTHOR]

Purpose: Systemic inflammatory response markers are reported to be prognostic for patients with cancer. The C-reactive protein (CRP)-albumin-lymphocyte (CALLY) index has been established as an immuno-nutritional scoring system. The aim of this study was to clarify the impact of the preoperative CALLY index on the outcome of patients undergoing gastrectomy for gastric cancer. Methods: We analyzed the data of 826 patients who underwent gastrectomy for stage I, II, or III gastric cancer between 2010 and 2017. The CALLY index was defined as (albumin × lymphocyte)/(CRP × 104). Results: The cut-off of the CALLY index was 2. The 147 patients with a preoperative CALLY index < 2 had significantly worse overall survival (OS) and relapse-free survival (RFS) than those with a CALLY index ≥ 2 (P < 0.01, P < 0.01, respectively). Multivariate analysis identified that a CALLY index < 2 (P = 0.02), intraoperative blood loss (P < 0.01), and stage II or III disease (P < 0.01) were independent and significant predictors of worse RFS. A CALLY index < 2 (P = 0.01), intraoperative blood loss (P < 0.01), postoperative complications (P = 0.02), and stage II or III disease (P < 0.01) were independent and significant predictors of worse OS. Conclusion: The preoperative CALLY index was independently associated with a poor prognosis for patients after gastrectomy for gastric cancer. [ABSTRACT FROM AUTHOR]

Background: Patients treated with immune checkpoint inhibitors (ICIs) are at risk of considerable adverse events, and the ongoing struggle is to accurately identify the subset of patients who will benefit. Lymphocyte subsets play a pivotal role in the antitumor response, this study attempted to combine the absolute counts of lymphocyte subsets (ACLS) with the clinicopathological parameters to construct nomograms to accurately predict the prognosis of advanced non-small cell lung cancer (aNSCLC) patients treated with anti-PD-1 inhibitors. Methods: This retrospective study included a training cohort (n = 200) and validation cohort (n = 100) with aNSCLC patients treated with anti-PD-1 inhibitors. Logistic and Cox regression were conducted to identify factors associated with efficacy and progression-free survival (PFS) respectively. Nomograms were built based on independent influencing factors, and assessed by the concordance index (C-index), calibration curve and receiver operating characteristic (ROC) curve. Result: In training cohort, lower baseline absolute counts of CD3+ (P < 0.001) and CD4+ (P < 0.001) were associated with for poorer efficacy. Hepatic metastases (P = 0.019) and lower baseline absolute counts of CD3+ (P < 0.001), CD4+ (P < 0.001), CD8+ (P < 0.001), and B cells (P = 0.042) were associated with shorter PFS. Two nomograms to predict efficacy at 6-week after treatment and PFS at 4-, 8- and 12-months were constructed, and validated in validation cohort. The area under the ROC curve (AUC-ROC) of nomogram to predict response was 0.908 in training cohort and 0.984 in validation cohort. The C-index of nomogram to predict PFS was 0.825 in training cohort and 0.832 in validation cohort. AUC-ROC illustrated the nomograms had excellent discriminative ability. Calibration curves showed a superior consistence between the nomogram predicted probability and actual observation. Conclusion: We constructed two nomogram based on ACLS to help clinicians screen of patients with possible benefit and make individualized treatment decisions by accurately predicting efficacy and PFS for advanced NSCLC patient treated with anti-PD-1 inhibitors. [ABSTRACT FROM AUTHOR]

Introduction: In EVOLVE-MS-1 (NCT02634307), mean absolute lymphocyte count (ALC) on diroximel fumarate (DRF) declined from baseline by approximately 28% in year 1, then stabilized, similar to ALC decline observed with dimethyl fumarate (DMF). Prior studies reported that clinical efficacy of DMF was not substantially different in patients with and without lymphopenia. Methods: EVOLVE-MS-1—an open-label, 96-week, phase 3 study—assessed DRF safety and exploratory efficacy in patients with relapsing–remitting multiple sclerosis. This study analyzes efficacy-related outcomes comparing (1) patients with lymphopenia (≥ 1 ALC below lower limit of normal [LLN]) and without (all ALCs ≥ LLN); (2) across quartiles stratified by week 96 ALC decline from baseline: Q1 (≥ 47% decline); Q2 (30% to < 47% decline); Q3 (12% to < 30% decline); Q4 (< 12% decline). Results: Baseline characteristics were similar between patients without (n = 593) and with lymphopenia (n = 452). At week 96, adjusted annualized relapse rate (ARR; 95% confidence interval) was 0.14 (0.11–0.17) without lymphopenia and 0.12 (0.09–0.15) with lymphopenia. Estimated proportions with 12-week confirmed disability progression (CDP12) at week 96 were 10.2% without and 9.3% with lymphopenia. When stratified by quartiles (Q1–Q4), ARR at week 96 was 0.11 (Q1), 0.09 (Q2), 0.13 (Q3), and 0.17 (Q4). Estimated proportions with CDP12 at week 96 were 9.6% (Q1), 10.2% (Q2), 5.7% (Q3), and 10.9% (Q4). At week 96, no evidence of disease activity was achieved by 47.2% (Q1), 47.8% (Q2), 45.4% (Q3), and 37.3% (Q4) of patients. Conclusion: In DRF-treated patients in EVOLVE-MS-1, clinical and radiological measurements indicated reduced disease activity regardless of lymphopenia or magnitude of ALC decline from baseline; however, patients who had greater ALC declines appeared to have numerically lower ARR and higher proportions free from relapses and gadolinium-enhancing lesions compared with those with smallest decline. This supports prior evidence that, while lymphopenia may contribute to fumarate efficacy outcomes, it is not the primary mechanism of action. Trial Registration: ClinicalTrials.gov identifier NCT02634307. [ABSTRACT FROM AUTHOR]

Purpose: Accurate height and weight measurement can be challenging in older adults and complicates nutritional status assessment. Other parameters like the neutrophil-to-lymphocyte ratio (NLR) and the lymphocyte count (LC) could be an option to these measurements. We aimed to test these variables as subrogates of body mass index (BMI) or calf-circumference (CC) for malnutrition screening in community-dwelling older adults. Methods: This is a secondary analysis from the Salud, Bienestar y Envejecimiento (SABE) survey from Ecuador (2009). Includes data on demographics, health-related factors, physical assessments, and complete blood count, allowing to calculate NLR and LC to be used as part of the Mini Nutritional Assessment (MNA), instead of the BMI. Consequently, 4 models were included: standard MNA, MNA-CC, MNA-NLR and MNA-LC. Finally, age, sex, and comorbidities were considered as confounding variables. Results: In our analysis of 1,663 subjects, 50.81% were women. Positive correlations with standard MNA were found for MNA-NLR (Estimate = 0.654, p < 0.001) MNA-CC (Estimate = 0.875, p value < 0.001) and MNA-LC (Estimate = 0.679, p < 0.001). Bland-Altman plots showed the smallest bias in MNA-CC. Linear association models revealed varying associations between MNA variants and different parameters, being MNA-NLR strongly associated with all of them (e.g. Estimate = 0.014, p = 0.001 for albumin), except BMI. Conclusion: The newly proposed model classified a greater number of subjects at risk of malnutrition and fewer with normal nutrition compared to the standard MNA. Additionally, it demonstrated a strong correlation and concordance with the standard MNA. This suggests that hematological parameters may offer an accurate alternative and important insights into malnutrition. [ABSTRACT FROM AUTHOR]

Background: Differences in radiation-induced lymphopenia and prognosis between methods of radiotherapy (RT) for brain metastases remain unclear. Methods: In this retrospective analysis of patients who underwent whole-brain radiotherapy (WBRT) or stereotactic radiosurgery/radiotherapy (SRS/SRT) for brain metastases, baseline total lymphocyte count (TLC) data were obtained within 2 weeks before RT initiation. Follow-up TLC data were evaluated at 0–2, 2–4, and 4–8 weeks after RT completion. Persistent lymphopenia was defined as <800/μL at any time point. Results: Overall, 138 RT courses in 128 patients were eligible (94 WBRT; 44 SRS/SRT). In the WBRT courses, the median baseline TLC was 1325/μL (IQR: 923–1799). Follow-up TLC decreased significantly to 946/μL (626–1316), 992/μL (675–1291), and 1075/μL (762–1435) (p < 0.001). SRS/SRT courses showed no significant TLC decrease. Multivariate analysis revealed female sex, prior RT, baseline TLC < 800/μL, and WBRT use were significantly associated with persistent lymphopenia. In the WBRT group, overall survival was significantly different between those with and without persistent lymphopenia (median, 2.6 and 6.1 months; p < 0.001). However, there was no significant difference in survival in the SRS/SRT group (p = 0.60). Conclusion: This study suggests SRS/SRT might be preferable for lymphocyte preservation in brain metastasis patients. [ABSTRACT FROM AUTHOR]

Objective: This study aims to investigate the prognostic significance of inflammatory cytokines and lymphocyte levels in predicting disease progression among patients with COVID-19 infection. Methods: Ninety-two hospitalized COVID-19 patients were retrospectively included as subjects for this study. General clinical information and various indicators, including lymphocyte count, interleukin-2 (IL-2), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor (TNF), were collected. All patients received treatment according to the ninth edition of the guidelines for COVID-19. Incidences of endotracheal intubation and mortality within 28 days were observed. Results: 1.In the analysis of intubation impact, multivariate analysis identified age, immunoglobulins, lymphocytes, and IL-6 as independent risk factors. When analyzing the impact on patient mortality, multivariate analysis revealed age, prealbumin, and BNP as independent risk factors. 2. Lymphocyte count and inflammatory factors demonstrated predictive value for endotracheal intubation in COVID-19 patients. The critical lymphocyte count value was 0.91, with a sensitivity of 38.8%, specificity of 92.9%, and AUC of 0.687 (95% CI: 0.580–0.795). The critical IL-6 value was 38.21, with a sensitivity of 81%, specificity of 63.3%, and AUC of 0.771 (95% CI: 0.6670.872). The area under the ROC curve for IL-8, IL-10 and TNF is 0.665, 0.712 and 0.648, respectively. 3.Lymphocyte count and inflammatory factors also exhibited predictive value for death in COVID-19 patients. The critical lymphocyte count value was 0.56, with a sensitivity of 71.2%, specificity of 57.5%, and AUC of 0.641 (95% CI: 0.528–0.754). The critical IL-6 value was 53.05, with a sensitivity of 75%, specificity of 71.2%, and AUC of 0.770 (95% CI: 0.6690.870). The area under the ROC curve for IL-8, IL-10 and TNF is 0.687, 0.683 and 0.636, respectively. Conclusion: Elevated inflammatory factors and decreased lymphocyte levels have prognostic value for predicting endotracheal intubation and mortality in COVID-19 patients, providing valuable insights for clinicians in anticipating disease progression. [ABSTRACT FROM AUTHOR]

Objective To investigate the values of systemic inflammatory response index (SIRI), systemic immunoinflammatory index (SII), neutrophil count/lymphocyte count (NLR), platelet count/lymphocyte count (PLR) and lymphocyte count/monocyte count (LMR) in prediction of the severity of acute pancreatitis (AP) at early stage. Methods The clinical data on 666 AP patients admitted to the department of hepatobiliary surgery, the First Affiliated Hospital of Anhui University of Science and Technology, from January 2020 to November 2023 were retrospectively analyzed. The patients were divided into a mild group (MAP group, mild acute pancreatitis) and a non-mild group (non-MAP group, including moderate to severe acute pancreatitis). Blood routine and biochemical indicators were collected at admission and 24 hours after admission. The differences in SIRI, SII, NLR, PLR and LMR between the two groups were compared, so were the values of these five indexes in prediction of non-MAP. Results Of the 666 AP patients, 507 were in the MAP group and 159 in the non-MAP group. In the non-MAP group, C-reactive protein (CRP), SIRI, SII, and NLR were higher than those in the MAP group 24 hours after admission, while LMR was lower than that in the MAP group, and the differences were statistically significant (P < 0.05) . CRP (HR = 1.008, 95%CI: 1.004 - 1.012, P < 0.05) and SIRI (HR = 1.216, 95%CI: 1.029 - 1.436, P < 0.05) were identified as the risk factors for the severity of AP. The ROC curve showed that the AUC and sensitivity of SIRI for predicting non-MAP 24 hours after admission were 0.718 and 75.00%, respectively, higher than those of SII, CRP, NLR, and LMR. Both SIRI and CRP had AUC values greater than 0.7, and the combined AUC was 0.788 (0.738-0.837), the sensitivity was 86.00% and the specificity was 81.44%. Conclusions SIRI can be used as a predictor of disease severity in early AP patients, and combined with CRP can improve the predictive value. [ABSTRACT FROM AUTHOR]

The pan-immune-inflammation value (PIV), calculated as (neutrophil × platelet × monocyte)/lymphocyte count, may be useful for estimating survival in breast cancer patients. To determine the prognostic value of PIV for overall survival in breast cancer patients in Lima, Peru. A retrospective cohort study was conducted. 97 breast cancer patients diagnosed between January 2010 and December 2016 had their medical records analyzed. The primary dependent variable was overall survival, and the key independent variable was the PIV, divided into high (≥ 310) and low (< 310) groups. Patient data included demographics, treatment protocols and other clinical variables. Statistical analysis involved Kaplan–Meier survival curves and Cox proportional hazards modeling. Patients with a PIV ≥ 310 had significantly lower 5-year survival functions (p = 0.004). Similar significant differences in survival were observed for clinical stage III-IV (p = 0.015), hemoglobin levels < 12 mg/Dl (p = 0.007), histological grade (p = 0.019), and nuclear grade (p < 0.001); however, molecular classification did not show a significant survival difference (p = 0.371). The adjusted Hazard Ratios showed that PIV ≥ 310 was significantly associated with poor outcome (5.08, IC95%: 1.52–16.92). While clinical stage and hemoglobin levels were associated with survival in the unadjusted model. These factors did not maintain significance after adjustment. PIV is an independent predictor of reduced survival in Peruvian breast cancer patients. [ABSTRACT FROM AUTHOR]

Introduction: Limited data are available regarding SARS-CoV-2 serological response dynamics in pediatric patients with COVID-19, contributing to gaps in our understanding of the immune response in this population. This study aimed to investigate SARS-CoV-2 IgG seropositivity in patients diagnosed with COVID-19 during hospitalization and 2-4 weeks after discharge. Methods: A cohort of patients, consisting of 31 individuals with confirmed acute COVID-19 infection and 27 diagnosed with Multisystem Inflammatory Syndrome in Children (MIS-C), was enrolled in the study. Follow-up clinic appointments were scheduled for 2-4 weeks post-discharge. During admission and follow-up, blood samples were collected from each patient for laboratory analysis. Anti-nucleoprotein SARS-CoV-2 IgG levels were determined using the Enzyme-Linked Immunosorbent Assay (ELISA) method. Results: In this study, a cohort of 58 patients was examined. At admission, 52% (n = 14) of MIS-C patients and 10% (n = 3) of acute COVID-19 patients had positive SARS-CoV-2 IgG test. Only 48 cases were referred to the hospital, and follow-up data was available for 20 cases with MIS-C and 28 cases with acute COVID-19. All patients (n = 15) who initially tested positive for SARS-CoV-2 IgG at admission remained positive serology during follow-up (100%). Among the 33 patients who initially tested negative, 12 (37.5%) showed a positive serology result during follow-up, while 21 (62.5%) remained negative. Within this subgroup, 11 cases (44%) were diagnosed with acute COVID-19, and one patient (12.5%) presented with MIS-C. Fourteen cases with acute COVID-19 infection (56%) and seven cases with MIS-C (87.5%) consistently showed negative serology results throughout the study. During follow-up, the median lymphocyte count demonstrated a significant difference, with 0.96 x 109 cells per L (IQR: 0.75-3.0 x 109 cells per L) in the SARS-CoV-2 IgG-negative group and 2.9 x 109 cells per L (IQR = 1.33-7.22 x 109 cells per L) in the SARS-CoV-2 IgG-positive group (p-value = 0.03). Patients who demonstrated seropositivity during the follow-up were associated with a notably severe disease (p-value = 0.028). Conclusion: Our study highlights the dynamic nature of SARS-CoV-2 IgG antibody responses in pediatric patients with COVID-19 infection. We observed a notable increase in seropositivity rates during follow-up. Furthermore, patients who were seropositive at follow-up demonstrated a severe disease course and lower lymphocyte counts compared to those with persistently negative serology. Our findings underscore the importance of longitudinal serological monitoring in understanding disease progression and immune response dynamics in pediatric COVID-19 cases. [ABSTRACT FROM AUTHOR]

Urban areas, i.e. dense housing and reduced green spaces, can significantly impact avian health, through altering land use and increasing biotic and abiotic stress. This study assessed the association of urbanization on haemosporidian infections, vectors, immune response, and body condition in Parus major nestlings, across four classes of urbanization along an urban-to-rural gradient in Vienna, Austria. Contrary to our expectations, vector abundance remained consistent across the gradient, while an increase in leukocyte count is positively associated with total parasite intensity. We found that nestlings in more urbanized areas exhibited higher parasite intensity and altered immune response, as evidenced by variations in the heterophil to lymphocyte ratio and leukocyte counts. Culicidae female vectors were associated with nestlings' total parasites, scaled mass index, and industrial units. Nestlings in highly developed areas had higher infection rates than those in forests, suggesting increased exposure to infections. However, there was no clear relationship between total female vectors and total parasites. The level of urbanization negatively affected nestling body condition, with a decrease in fat deposits from forested to highly urbanized areas. Our findings highlight the complex interplay between urbanization, vector-borne parasite transmission, and host immune response, emphasizing the need for comprehensive urban planning to improve wildlife health and guarantee ecosystem functioning. Understanding how urbanization affects bird immunity and parasite infections is critical for adapting urban landscapes for wildlife health and ecosystem integrity. [ABSTRACT FROM AUTHOR]

Background: Diabetic peripheral neuropathy (DPN) and lower extremity arterial disease (LEAD) are significant contributors to diabetic foot ulcers (DFUs), which severely affect patients' quality of life. This study aimed to develop machine learning (ML) predictive models for DPN and LEAD and to identify both shared and distinct risk factors. Methods: This retrospective study included 479 diabetic inpatients, of whom 215 were diagnosed with DPN and 69 with LEAD. Clinical data and laboratory results were collected for each patient. Feature selection was performed using three methods: mutual information (MI), random forest recursive feature elimination (RF-RFE), and the Boruta algorithm to identify the most important features. Predictive models were developed using logistic regression (LR), random forest (RF), and eXtreme Gradient Boosting (XGBoost), with particle swarm optimization (PSO) used to optimize their hyperparameters. The SHapley Additive exPlanation (SHAP) method was applied to determine the importance of risk factors in the top-performing models. Results: For diagnosing DPN, the XGBoost model was most effective, achieving a recall of 83.7%, specificity of 86.8%, accuracy of 85.4%, and an F1 score of 83.7%. On the other hand, the RF model excelled in diagnosing LEAD, with a recall of 85.7%, specificity of 92.9%, accuracy of 91.9%, and an F1 score of 82.8%. SHAP analysis revealed top five critical risk factors shared by DPN and LEAD, including increased urinary albumin-to-creatinine ratio (UACR), glycosylated hemoglobin (HbA1c), serum creatinine (Scr), older age, and carotid stenosis. Additionally, distinct risk factors were pinpointed: decreased serum albumin and lower lymphocyte count were linked to DPN, while elevated neutrophil-to-lymphocyte ratio (NLR) and higher D-dimer levels were associated with LEAD. Conclusions: This study demonstrated the effectiveness of ML models in predicting DPN and LEAD in diabetic patients and identified significant risk factors. Focusing on shared risk factors may greatly reduce the prevalence of both conditions, thereby mitigating the risk of developing DFUs. [ABSTRACT FROM AUTHOR]

Background: Pathogenic diversity may have contributed to the high mortality of pneumonia-associated acute respiratory distress syndrome (p-ARDS). Metagenomics next-generation sequencing (mNGS) serves as a valuable diagnostic tool for early pathogen identification. However, its clinical utility in p-ARDS remains understudied. There are still limited researches on the etiology, clinical characteristics and risk factors for 28-day mortality in p-ARDS patients. Methods: A single center retrospective cohort study of 75 p-ARDS patients was conducted. Patients were categorized into survival and deceased groups based on their 28-day outcomes. A comprehensive clinical evaluation was conducted, including baseline characteristics, laboratory indicators, outcomes and pathogen identification by mNGS and traditional microbiological testing. We then evaluated the diagnostic value of mNGS and identified clinical characteristics and risk factors for 28-day mortality in p-ARDS. Result: The overall ICU mortality was 26.67%, and the 28-day mortality was 57.33%, with 32 cases (42.67%) in the survival group, and 43 cases (57.33%) in the deceased group. Patients in the deceased group were older than those in the survival group (68(59,73) years vs. 59(44,67) years, P=0.04). The average lengths of ICU and hospital stay were 9(5,13) days and 14(7,21) days, respectively. The survival group had longer lengths of ICU and hospital stay (ICU: 11(7,17) days and hospital: 17(9,27) days) compared to the deceased group (ICU: 8(4,11) days and hospital: 12(6,19) days) (P<0.05). Survival patients exhibited lower Acute Physiology and Chronic Health Evaluation (APACHE) II score on the 3rd and 7th days, higher lymphocyte counts, higher CD3+ and CD8+ T cell counts compared to deceased patients (P<0.05). Multivariate logistic regression analysis identified age, APACHE II scores on 3rd and 7th days, CD8+ T cell count and length of ICU as independent risk factors for 28-day mortality in p-ARDS patients. mNGS demonstrated a significantly higher overall pathogen detection rate (70/75, 93.33%) compared to the traditional method (50/75, 66.67%, P=0.022). The average turnaround time (TAT) for mNGS was significantly shorter at 1(1,1) day compared to 4(3,5) days for the traditional method (P<0.001). Conclusion: Metagenome next-generation sequencing can be used as a valuable tool for identifying pathogens in p-ARDS, reducing diagnostic time and improving accuracy. Early application of mNGS alongside traditional methods is recommended for p-ARDS. Furthermore, older age, higher APACHE II scores, lower lymphocyte counts and lymphocyte subset counts were associated with increased mortality in p-ARDS patients, highlighting the importance of timely assessment of immune status and disease severity, especially in elderly. [ABSTRACT FROM AUTHOR]

Objectives: Influenza and Mycoplasma pneumoniae infections often present concurrent and overlapping symptoms in clinical manifestations, making it crucial to accurately differentiate between the two in clinical practice. Therefore, this study aims to explore the potential of using peripheral blood routine parameters to effectively distinguish between influenza and Mycoplasma pneumoniae infections. Methods: This study selected 209 influenza patients (IV group) and 214 Mycoplasma pneumoniae patients (MP group) from September 2023 to January 2024 at Nansha Division, the First Affiliated Hospital of Sun Yat-sen University. We conducted a routine blood-related index test on all research subjects to develop a diagnostic model. For normally distributed parameters, we used the T-test, and for non-normally distributed parameters, we used the Wilcoxon test. Results: Based on an area under the curve (AUC) threshold of ≥ 0.7, we selected indices such as Lym# (lymphocyte count), Eos# (eosinophil percentage), Mon% (monocyte percentage), PLT (platelet count), HFC# (high fluorescent cell count), and PLR (platelet to lymphocyte ratio) to construct the model. Based on these indicators, we constructed a diagnostic algorithm named IV@MP using the random forest method. Conclusions: The diagnostic algorithm demonstrated excellent diagnostic performance and was validated in a new population, with an AUC of 0.845. In addition, we developed a web tool to facilitate the diagnosis of influenza and Mycoplasma pneumoniae infections. The results of this study provide an effective tool for clinical practice, enabling physicians to accurately diagnose and differentiate between influenza and Mycoplasma pneumoniae infection, thereby offering patients more precise treatment plans. [ABSTRACT FROM AUTHOR]

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Background: The association of low-density lipoprotein cholesterol (LDL-C) and lymphocyte counts with the development of deep vein thrombosis (DVT) has been demonstrated in many fields but remains lacking in open wedge high tibial osteotomy (OWHTO). This study aimed to assess the predictive value of LDL-C to lymphocyte count ratio (LLR) in screening for postoperative new-onset DVT. Methods: Clinical data were retrospectively collected from patients who underwent OWHTO between June 2018 and May 2023. The limited restricted cubic spline (RCS) was conducted to evaluate the nonlinear relationship between LLR and the risk of postoperative new-onset DVT. The receiver operating characteristic (ROC) curves were plotted and the predictive value of biomarkers was assessed. After adjusting for intergroup confounders by propensity score matching, the univariate logistic regression was applied to assess the association between LLR and DVT. Results: 1293 eligible patients were included. RCS analysis showed a linear positive correlation between LLR and the risk of DVT (P for overall = 0.008). We identified LLR had an area under the curve of 0.607, accuracy of 74.3%, sensitivity of 38.5%, and specificity of 80.7%, and LLR > 1.75 was independently associated with a 1.45-fold risk of DVT (95% CI: 1.01–2.08, P = 0.045). Furthermore, significant heterogeneities were observed in the subgroups of age, BMI, diabetes mellitus, hypertension, Kellgren-Lawrence grade, the American Society of Anesthesiologists (ASA) score, and intraoperative osteotomy correction size. Conclusion: LLR is a valuable biomarker for predicting postoperative new-onset DVT in patients with OWHTO, and routine screening is expected to yield positive benefits. [ABSTRACT FROM AUTHOR]

Simple Summary: Based on this study, we define a new biomarker termed lymphocyte-to-albumin ratio (LAR) that may predict the prognosis for patients with metastatic NSCLC treated with immunotherapy. This study aims to determine the relationship of the LA index with patients' survival rate through studying the records of 227 patients who were treated with nivolumab after one or multiple cycles of chemotherapy. Therefore, the results showed that a higher LA index is significantly related to better overall survival (OS) and progression-free survival (PFS). Overall, the LA index deserves its merit of being a simple, cost-effective, noninvasive method applicable in NSCLC immunotherapy as a clinically practical tool for predicting treatment outcomes. Objective: Immunotherapies are commonly employed for the treatment of non-small-cell lung cancer (NSCLC). However, predictive biomarkers still need to be improved to predict responses to these agents. The lymphocyte–albumin (LA) laboratory index has not been evaluated before in this patient group. The aim of this study was to analyze the relation between the LA index and the survival rate of metastatic NSCLC patients who had immunotherapy after at least one round of chemotherapy. Methods: The research included 227 patients diagnosed with metastatic NSCLC, who were administered nivolumab after at least one round of chemotherapy. The LA index was calculated by multiplying lymphocyte count and albumin concentration. The optimal threshold values for the index were established by the examination of the ROC curve for both overall survival (OS) and progression-free survival (PFS). Oncological data were obtained retrospectively from patient files, and survival analyses were performed. Results: The median follow-up was 7.9 months. Progression was observed in 129 (56.9%) patients. A total of 97 (42.7%) patients died during the follow-up. The cutoff values of the LA index to predict OS and PFS were determined as 52.87 and 57.67, respectively. The low-LA group had significantly lowered OS and PFS compared to the high-LA group. LA was found to be an independent prognostic factor for PFS (hazard ratio 4.47; 95% confidence interval, 2.73–7.34; p < 0.001) and OS (hazard ratio 6.24; 95% confidence interval, 3.46–11.25; p < 0.001) in the multivariate regression analysis. Conclusions: In this study, we observed that the LA index independently predicts OS and PFS in immunotherapy-treated metastatic NSCLC patients. Its ease of application, low cost, and noninvasive nature make it a potential guide for clinicians in predicting treatment responses and survival. [ABSTRACT FROM AUTHOR]

Background: The global mortality and morbidity rates of bronchiectasis patients due to nontuberculous mycobacteria (NTM) pulmonary infection are on a concerning upward trend. The aims of this study to identify the phenotype of NTM-positive individuals with bronchiectasis. Methods: A retrospective single-center observational study was conducted in adult patients with bronchiectasis who underwent bronchoscopy in 2007-2020. Clinical, laboratory, pulmonary function, and radiological data were compared between patients with a positive or negative NTM culture. Results: Compared to the NTM-negative group (n=677), the NTM-positive group (n=94) was characterized (P ≤0.05 for all) by older age, greater proportion of females, and higher rates of gastroesophageal reflux disease and muco-active medication use; lower body mass index, serum albumin level, and lymphocyte and eosinophil counts; lower values of forced expiratory volume in one second, forced vital capacity, and their ratio, and lower diffusing lung capacity for carbon monoxide; higher rates of bronchiectasis in both lungs and upper lobes and higher number of involved lobes; and more exacerbations in the year prior bronchoscopy. On multivariate analysis, older age (OR 1.05, 95% CI 1.02-1.07, P=0.001), lower body mass index (OR 1.16, 95% CI 1.16-1.07, P <0.001), and increased number of involved lobes (OR 1.26, 95% CI 1.01-1.44, P=0.04) were associated with NTM infection. Conclusions: Patients with bronchiectasis and NTM pulmonary infection are more likely to be older and female with more severe clinical, laboratory, pulmonary function, and radiological parameters than those without NTM infection. This phenotype can be used for screening patients with suspected NTM disease. [ABSTRACT FROM AUTHOR]