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Objective: Since its development, cumulative evidence has accumulated regarding the prognostic value of the Malnutrition-Inflammation Score (MIS/Kalantar score) prognostic value; however, there is a shortage of recent and large studies with comprehensive statistical methodologies that contribute to support a higher level of evidence and a consensual cutoff. The aim of this study was to assess the strength of MIS association with hospitalization and mortality in a nationwide cohort. Methods: This was a historical cohort study of hemodialysis patients from 25 outpatient centers followed up for 48 months. Univariable and multivariable Cox additive regression models were used to analyze the data. The C-index was estimated to assess the performance of the final model. Results: Two thousand four hundred forty-four patients were analyzed, 59.0% males, 32.0% diabetic, and median age of 71 years (P25 = 60, P75 = 79). During a median period of 45-month follow-up, with a maximum of 48 months (P25 = 31; P75 = 48), 875 patients presented an MIS

To examine the association between child neglect and adult suicide risk as well as the underlying mechanism. Adults aged 18 or older from the National Epidemiological Survey on Alcohol and Related Conditions Wave 3 who did not have suicide attempts before 18 were included (N = 35,275). Child neglect was categorized into emotional and physical neglect. Suicide risk was captured by suicide attempt. Mediators included internalizing and externalizing symptoms. Natural effect models along with regression analyses were used to estimate the mediated models. Respondents who reported child emotional neglect had greater odds of attempting suicide than those who did not report child emotional neglect. This association was partially mediated by internalizing symptoms. Child emotional neglect is associated with greater odds of suicide attempt and internalizing symptoms partially mediate this association. These results highlight the importance of a comprehensive approach to suicide prevention which includes providing safe, stable, nurturing relationships and environments to prevent child neglect.

Background Many new tools for abdominal aortic aneurysm (AAA) rupture risk evaluation have been developed. These new tools need detailed hemodynamic information in AAA. However, hemodynamic data obtained from in vivo research are lacking. Thus, the objective of this study was to analyze blood flow patterns in an in vivo AAA model to acquire real-time hemodynamic information using AneurysmFlow, a novel flow evaluation system. Methods Digital subtraction angiography images of patients who underwent endovascular aneurysm repair were analyzed using the visualization function of the AneurysmFlow to classify blood flow patterns as laminar or turbulent flow. The presence of boundary layer separation was also evaluated. The time taken for contrast medium to travel from the infrarenal aortic neck to aortic bifurcation was acquired to calculate the flow velocity. Associations between characteristics of aneurysm including lumen occupying ratio of intraluminal thrombus (ILT) and the hemodynamic flow pattern were evaluated. Results A total of 37 AAA patients was enrolled. Their blood flow patterns were evaluated using the AneurysmFlow. Logistic regression analyses with lumen occupying ratio of ILT as an independent variable showed that the larger the lumen occupying ratio of ILT, the more likely the aneurysm was to show a laminar pattern (P = 0.03) and the more likely the boundary layer separation would not exist (P = 0.04). The flow velocity from the infrarenal aortic neck to the aortic bifurcation showed a positive association with the lumen occupying ratio of the ILT in linear regression analysis (P Conclusion Hemodynamic analysis of AAA with the AneurysmFlow using real-time individual patient models showed different flow patterns and flow velocities depending on ILT. This novel analytic approach using AneurysmFlow has potential to play an important role in obtaining clinically meaningful hemodynamic information of AAA.

This study explored the course of health state utility value over 3 years in patients with a recent fracture attending a Fracture Liaison Service and suggested that the overall change in health-related quality of life was not significant, although significant improvements were observed at 6 and 12 months compared to baseline. Introduction To estimate the 3-year health-related quality of life (HRQoL) of patients with a recent fracture presenting at a Fracture Liaison Service (FLS) and to explore factors associated with health state utility value (HSUV). Methods Patients' HSUVs were derived from the EQ-5D-5L and SF-6D and calculated at six time points. Multiple imputation was applied for missing data. Linear mixed-effects regression analysis with random intercept and slope was applied to explore the course of HSUV over 3 years. The impact of subsequent fracture and the length of time between FLS visit and patients' index fracture on HSUV were also investigated. A backward stepwise elimination was applied to identify factors associated with HSUV. Results A total of 499 patients were included. The change of EQ-5D HSUV was not significant over 3-year follow-up (P = 0.52), although slightly but significantly higher HSUV was captured at 6 months (mean difference (MD): 0.015, P = 0.02) and 12 months (MD: 0.018, P = 0.01). There was no significant difference in the course of EQ-5D HSUV between fracture locations (P = 0.86). A significant increase in HSUV was only captured for patients had shorter time period (< 107 days) between FLS visit and their index fracture. Suffering a subsequent fracture was associated with significant QoL loss (MD: - 0.078, P < 0.001). Subsequent fracture, previous treatment with anti-osteoporosis medication, a prevalent vertebral fracture (grade 2 or 3), use of a walking aid, previous falls, and higher BMI were negatively associated with mean EQ-5D HSUV over 3 years. Comparable results were found using SF-6D HSUV. The lack of HRQoL data immediately after fracture and selection bias were two main limitations. Conclusion The 3-year change in HSUV was not statistically significant, although significant improvements were observed at 6 and 12 months in comparison with baseline. Six factors were negatively associated with EQ-5D HSUV. China Scholarship CouncilChina Scholarship Council [201909110080]

SUMMARY: Background: Pre-operative estimation of breast mound volume for immediate breast reconstruction is necessary for operative planning, especially in direct-to-implant reconstruction. Our purpose was to investigate the relationship between pre-operative predictions of breast mound weight from 3D imaging and actual mastectomy weight and implant size. Methods: A retrospective chart review of all patients who had previously undergone nipple-sparing mastectomy (NSM) by a single surgeon was performed. Pre-operative 3D images were reviewed and calculations of breast mound weight were performed by three independent reviewers. Intra-operative mastectomy weight and final implant weight were collected from patient charts. A regression analysis between calculated and actual values was performed. Results: There were 59 reconstructed breasts included. Pre-operative 3D imaging-guided breast weight calculations were similar across reviewers (R=0.96). Pre-operative calculations of breast weight were 49.4g (SD=134.0) smaller than actual mastectomy specimens. Mastectomy specimens were 41.0g (SD=130.2) smaller than final implant sizes. Thereby, the relationship was as follows: Pre-operative calculated breast weight < actual Mastectomy weight < implant weight. Mastectomy weight and final implant size had linear relationships with pre-operative calculations of breast weight. Formulas for predicting mastectomy weight [mastectomy weight = 63.2 + 0.95 (pre-operative calculated weight)] and implant size [Implant weight = 209.7+ 0.56 (pre-operative calculated weight)] from pre-operative calculations of breast weight were generated. Conclusions: Three-dimensional scanning technologies may be a useful tool to predict implant sizes for direct-to-implant breast reconstruction. Final implant size was heavier than intra-operative mastectomy weight and pre-operative calculated breast mound weight.

Ferritin is a known inflammatory biomarker in COVID-19. However, many factors and co-morbidities can confound the level of serum ferritin. This current metaanalysis evaluates serum ferritin level in different severity levels in COVID-19. Studies evaluating serum ferritin level in different clinical contexts (COVID-19 vs. control, mild to moderate vs. severe to critical, non-survivor vs. survivor, organ involvement, ICU and mechanical ventilation requirement) were included (total 9 literature databases searched). Metaanalysis and metaregression was carried out using metaphor “R” package. Compared to control (COVID-19 negative), higher ferritin levels were found among the COVID-19 patients [SMD −0.889 (95% C.I. −1.201, −0.577), I2 = 85%]. Severe to critical COVID-19 patients showed higher ferritin levels compared to mild to moderate COVID-19 patients [SMD 0.882 (0.738, 1.026), I2 = 85%]. In meta-regression, high heterogeneity was observed could be attributed to difference in “mean age”, and “percentage of population with concomitant co-morbidities”. Non-survivors had higher serum ferritin level compared to survivors [SMD 0.992 (0.672, 1.172), I2 = 92.33%]. In meta-regression, high heterogeneity observed could be attributed to difference in “mean age” and “percentage of male sex”. Patients requiring ICU [SMD 0.674 (0.515 to 0.833), I2 = 80%] and mechanical ventilation [SMD 0.430 (0.258, 0.602), I2 = 32%] had higher serum ferritin levels compared to those who didn't. To conclude, serum ferritin level may serve as an important biomarker which can aid in COVID-19 management. However, presence of other co-morbid conditions/confounders warrants cautious interpretation.

Background and Objectives: Hearing thresholds across frequencies must be obtained for hearing aid fitting. Narrow-band noise (NBN) and speech sounds are often used as stimuli in pediatric audiologic assessments to elicit children’s attention due to their wider frequency ranges as compared to pure tones. However, obtaining complete responses across frequency ranges is challenging in pediatric practice. Therefore, we developed a frequency-specific phoneme screening tool, the Mandarin Phoneme Detection Score Sheet, to help clinicians evaluate aided performance in pediatric practice.Subjects and Methods: A total of 30 adults with typical hearing and 30 children aged 3-12 years with hearing loss were recruited. Threshold ranges for the aided detection of Mandarin phonemes and NBN were measured using 95% confidence intervals. A stepwise regression analysis was then performed to identify the Mandarin phonemes that can predict NBN detection performance.Results: The Mandarin Phoneme Detection Score Sheet was developed based on the results of the regression analysis. It was shown that the phonemes /ɤ, a, tɕh/ could predict detection performance at different frequencies.Conclusions: The Mandarin Phoneme Detection Score Sheet can allow audiologists and early intervention professionals to determine the benefits of hearing aids for pediatric patients in the early stage of hearing loss conditions.

Background: Patients with Alzheimer’s disease (AD) show heterogeneity in clinical progression rate, and we have limited tools to predict prognosis. Amyloid burden from 18F-Flutemetamol positron emission tomography (PET), as measured by standardized uptake value ratios (SUVR), might provide prognostic information. Objective: We investigate whether 18F-Flutemetamol PET composite or regional SUVRs are associated with trajectories of clinical progression. Methods: This observational longitudinal study included 94 patients with clinical AD. PET images were semi-quantified with normalization to pons. Group-based trajectory modeling was applied to identify trajectory groups according to change in the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) over time. Multinomial logistic regression models assessed the association of SUVRs with trajectory group membership. Results: Three trajectory groups were identified. In the regression models, neither composite nor regional SUVRs were associated with trajectory group membership. Conclusion: There were no associations between CDR progression and 18F-Flutemetamol PET-derived composite SUVRs or regional SUVRs in clinical AD.

Background Team-sport players have a particularly high injury risk. Although female sex is considered a risk factor, it is still unknown whether female and male team-sport players, in fact, differ in their injury rates. We aimed to compare injury rates between female and male players by systematically reviewing and meta-analyzing injury surveillance studies of both sexes in order to evaluate sex-specific differences in team-sport injuries. Methods Studies that prospectively collected injury data for high-level female and male players (age ≥16 years) in basketball, field hockey, football (soccer), handball, rugby (union and sevens), and volleyball were included. Two reviewers (AZ and AL) independently assessed study quality and extracted data for overall, match, training, and severe injuries (>28 days’ time loss) as well as data regarding injury locations and types. Incidence rate ratios (IRRs) were pooled in a meta-analysis, and meta-regression analysis was performed when 10 or more studies were available. Results Of 20 studies, 9 studies reported injury data from football, 3 studies from rugby, 3 studies from handball, 1 study from basketball, 1 study from field hockey, 2 studies from volleyball, and 1 study from basketball and field hockey. For overall injuries, the pooled IRR (0.86; 95% confidence interval (95%CI): 0.76−0.98) indicated significantly more injuries in male than in female players. For injury location, the pooled IRR showed higher injury rates in male athletes than in female athletes for upper extremity, hip/groin, thigh, and foot injuries. Female players had a significantly higher rate of anterior cruciate ligament injuries (IRR = 2.15, 95%CI: 1.27−3.62) than male players. No significant sex-specific differences in IRR were found for match, training, severe injuries, concussions, or ankle sprains. Conclusion Our meta-analysis provides evidence for sex-specific differences in the injury rates in team sports. Further epidemiological studies including both sexes in sports other than football are needed in order to strengthen the evidence.

Objective To develop and validate a nomogram for predicting the risk of venous thromboembolism in critically ill patients with primary intracerebral hemorrhage. Methods Patients ≥18 years old with primary intracerebral hemorrhage were screened within 24 hours of onset from January 2019 to April 2021. Univariate and multivariate logistic regression analyses were performed to screen out independent predictors that were significantly associated with venous thromboembolism. A nomogram was constructed based on the results of a multivariate regression analysis. Discrimination and calibration were used to evaluate performance of the nomogram. A decision curve analysis was used to assess its clinical utility. Results This study enrolled 369 patients. The nomogram included 3 predictors from the regression analysis: D-dimer, National Institutes of Health Stroke Scale score, and Glasgow Coma Scale score on admission. The area under the receiver operating characteristic curve was 0.794, indicating good discrimination of the nomogram. The nomogram demonstrated calibration curves with slight deviation from the ideal predictions. Decision curve analysis showed that the prediction nomogram was clinically useful. Conclusions This nomogram comprising D-dimer, National Institutes of Health Stroke Scale score and Glasgow Coma Scale score on admission can accurately predict the risk of venous thromboembolism in critically ill patients with intracerebral hemorrhage.

OBJECTIVE Postoperative urinary retention (POUR) is a common complication after spine surgery and is associated with prolongation of hospital stay, increased hospital cost, increased rate of urinary tract infection, bladder overdistention, and autonomic dysregulation. POUR incidence following spine surgery ranges between 5.6% and 38%; no reliable prediction tool to identify those at higher risk is available, and that constitutes an important gap in the literature. The objective of this study was to develop and validate a preoperative risk model to predict the occurrence of POUR following routine elective spine surgery. METHODS The authors conducted a retrospective chart review of consecutive adults who underwent lumbar spine surgery between June 1, 2017, and June 1, 2019. Patient characteristics, preexisting ICD-10 codes, preoperative pain and opioid use, preoperative alpha-1 blocker use, details of surgical planning, development of POUR, and management strategies were abstracted from electronic medical records. A binomial logistic model and a multilayer perceptron (MLP) were optimized using training and validation sets. The models’ performance was then evaluated on model-naïve patients (not a part of either cohort). The models were then stacked to take advantage of each model’s strengths and to avoid their weaknesses. Four additional models were developed from previously published models adjusted to include only relevant factors (i.e., factors known preoperatively and applied to the lumbar spine). RESULTS Overall, 891 patients were included in the cohort, with a mean of 59.6 ± 15.5 years of age, 52.7% male, BMI 30.4 ± 6.4, American Society of Anesthesiologists class 2.8 ± 0.6, and a mean of 5.6 ± 5.7 comorbidities. The rate of POUR was found to be 25.9%. The two models were comparable, with an area under the curve (AUC) of 0.737 for the regression model and 0.735 for the neural network. By combining the two models, an AUC of 0.753 was achieved. With a regression model probability cutoff of 0.24 and a neural network cutoff of 0.23, maximal sensitivity and specificity were achieved, with specificity 68.2%, sensitivity 72.9%, negative predictive value 88.2%, and positive predictive value 43.4%. Both models individually outperformed previously published models (AUC 0.516–0.645) when applied to the current data set. CONCLUSIONS This predictive model can be a powerful preoperative tool in predicting patients who will be likely to develop POUR. By using a combination of regression and neural network modeling, good sensitivity, specificity, and NPV are achieved.

Aims Small arteries can be visualized in the ocular fundus, and findings of retinopathy based on Scheie classification are often applied to evaluate the impact of hypertension and atherosclerosis. However, the relationship between damage in the large and small arteries has not been investigated sufficiently, especially in the early stages. The present study investigated possible associations between large artery atherosclerosis and small artery retinopathy in untreated middle-aged individuals. Methods Untreated middle-aged workers undergoing periodic health check-ups (n=7,730, 45±8 years) were enrolled in this study. The absence or presence and extent of retinopathy were characterized by ophthalmologists as hypertensive (H0-4) and atherosclerotic grades (S0-4) based on Scheie classification. Large artery atherosclerosis was examined based on functional assessment of the cardio-ankle vascular index (CAVI) and morphological assessment of the carotid intima-media thickness (IMT) by ultrasound. Results We found significant differences in CAVI and carotid IMT between individuals with and without hypertensive or atherosclerotic retinopathy. Multivariable regression analysis showed that the presence of hypertensive and atherosclerotic retinopathy was significantly associated with CAVI and carotid IMT. Logistic regression analysis with the endpoint of a hypertensive or atherosclerotic lesion revealed that CAVI and carotid IMT are independent determinants of retinopathy. Conclusions CAVI and carotid IMT were significantly associated with the presence of retinopathy based on Scheie classification in untreated middle-aged subjects, implying that atherosclerotic examination in large arteries could reveal early-stage small artery retinopathy.

Background Although remission is a priority target in psychosis, reported rates show a marked variation across studies and instability over time. Such variability, partly due to methodology, emphasizes the need to define the optimal assessment procedure, as well as to identify reliable predictors. This study aims to: 1. longitudinally compare remission status according to different criteria; 2. identify predictors of duration and stability. Methods 112 patients with schizophrenia or schizoaffective disorder underwent comprehensive clinical evaluations, with 24-month follow-up. Remission was assessed using three criteria: Remission in Schizophrenia Working Group (RSWG) vs Positive and Negative Syndrome Scale (PANSS) positive and negative scales (PANSS-PN) vs total score (PANSS-T). Kaplan-Meier survival analysis was used for longitudinal comparison, regression models to identify predictors of duration and stability. Results At enrolment 50% of patients were in remission according to RSWG, while only 23.2% reached the other criteria. PANSS-T cumulative remission rates showed the greatest stability. Stable remission according to RSWG criteria was predicted by negative symptoms, while no significant predictors emerged for PANSS-T. Remission duration was predicted by negative, positive and cognitive symptoms and treatment dosage for RSWG criteria, while for PANSS-T the predictors were cognitive symptoms and duration of illness. Conclusion Results are in line with previous literature on remission rates and further support the role of basal clinical predictors. In addition, this study shows that more stringent criteria are more stable over time, suggesting their predictive value and the relevance of their use to optimize evaluations also in clinical settings.

The polycystic ovary syndrome (PCOS) is a most common cause of infertility among women of reproductive age. Unfortunately, the etiology of PCOS is poorly understood. Large scale clinical trials for Pregnancy in Polycystic Ovary Syndrome (PPCOS) were conducted to evaluate the effectiveness of treatments. Ovulation, pregnancy, and live birth are three sequentially nested binary outcomes, typically analyzed separately. However, the separate models may lose power in detecting the treatment effects and influential variables for live birth, due to decreased sample sizes and unbalanced event counts. It has been a long-held hypothesis among the clinicians that some of the important variables for early pregnancy outcomes may continue their influence on live birth. To consider this possibility, we develop an ℓ(0)-norm based regularization method in favor of variables that have been identified from an earlier stage. Our approach explicitly bridges the connections across nested outcomes through computationally easy algorithms and enjoys theoretical guarantee of estimation and variable selection. By analyzing the PPCOS data, we successfully uncover the hidden influence of risk factors on live birth, which confirm clinical experience. Moreover, we provide novel infertility treatment recommendations (e.g., letrozole vs clomiphene citrate) for women with PCOS to improve their chances of live birth.

Background Physical inactivity is highly prevalent after stroke, increasing the risk of poor health outcomes including recurrent stroke. Tailoring of exercise programs to individual preferences can improve adherence, but no tools exist for this purpose in stroke. Methods We identified potential questionnaire items for establishing exercise preferences via: (i) our preliminary Exercise Preference Questionnaire in stroke, (ii) similar tools used in other conditions, and (iii) expert panel consultations. The resulting 35-item questionnaire (SEPI-35) was administered to stroke survivors, along with measures of disability, depression, anxiety, fatigue and self-reported physical activity. Exploratory factor analysis was used to identify a factor structure in exercise preferences, providing a framework for item reduction. Associations between exercise preferences and personal characteristics were analysed using multivariable regression. Results A group of 134 community-dwelling stroke survivors (mean age 64.0, SD 13.3) participated. Analysis of the SEPI-35 identified 7 exercise preference factors (Supervision-support, Confidence-challenge, Health-wellbeing, Exercise context, Home-alone, Similar others, Music-TV). Item reduction processes yielded a 13-item version (SEPI-13); in analysis of this version, the original factor structure was maintained. Lower scores on Confidence-challenge were significantly associated with disability (p = 0.002), depression (p = 0.001) and fatigue (p = 0.001). Self-reported barriers to exercise were particularly prevalent in those experiencing fatigue and anxiety. Conclusions The SEPI-13 is a brief instrument that allows assessment of exercise preferences and barriers in the stroke population. This new tool can be employed by health professionals to inform the development of individually tailored exercise interventions.

After radical prostatectomy (RP), one-third of patients will experience biochemical recurrence (BCR), which is associated with subsequent metastasis and cancer-specific mortality. We employed machine learning (ML) algorithms to predict BCR after RP, and compare them with traditional regression models and nomograms.Utilizing a prospective Uro-oncology registry, 18 clinicopathological parameters of 1130 consecutive patients who underwent RP (2009-2018) were recorded, yielding over 20,000 data points for analysis. The data set was split into a 70:30 ratio for training and validation. Three ML models: Naïve Bayes (NB), random forest (RF), and support vector machine (SVM) were studied, and compared with traditional regression models and nomograms (Kattan, CAPSURE, John Hopkins [JHH]) to predict BCR at 1, 3, and 5 years.Over a median follow-up of 70.0 months, 176 (15.6%) developed BCR, at a median time of 16.0 months (interquartile range [IQR]: 11.0-26.0). Multivariate analyses demonstrated strongest association of BCR with prostate-specific antigen (PSA) (p: 0.015), positive surgical margins (p 0.001), extraprostatic extension (p: 0.002), seminal vesicle invasion (p: 0.004), and grade group (p 0.001). The 3 ML models demonstrated good prediction of BCR at 1, 3, and 5 years, with the area under curves (AUC) of NB at 0.894, 0.876, and 0.894, RF at 0.846, 0.875, and 0.888, and SVM at 0.835, 0.850, and 0.855, respectively. All models demonstrated (1) robust accuracy (0.82), (2) good calibration with minimal overfitting, (3) longitudinal consistency across the three time points, and (4) inter-model validity. The ML models were comparable to traditional regression analyses (AUC: 0.797, 0.848, and 0.862) and outperformed the three nomograms: Kattan (AUC: 0.815, 0.798, and 0.799), JHH (AUC: 0.820, 0.757, and 0.750) and CAPSURE nomograms (AUC: 0.706, 0.720, and 0.749) (p 0.001).Supervised ML algorithms can deliver accurate performances and outperform nomograms in predicting BCR after RP. This may facilitate tailored care provisions by identifying high-risk patients who will benefit from multimodal therapy.

Take Home Message In terms of clinically relevant outcomes, such as overall survival, prostate cancer–specific survival, metastasis-free survival, and treatment-free survival, a strict follow-up protocol does not provide benefit for men with low-risk prostate cancer on active surveillance., Background Active surveillance (AS) is the preferred option for initial management for low-risk prostate cancer (PC). Although many AS protocols exist, there is little evidence to support one over another. Objective To assess whether there is difference in overall (OS), prostate cancer–specific (CSS), metastasis-free (MFS), or treatment-free (TFS) survival between a strict (Prostate cancer Research International: Active Surveillance [PRIAS]) and a loose (European Randomized study of Screening for Prostate Cancer [ERSPC]) AS protocol. Design, setting, and participants This study included two cohorts of men (n = 518) with low-risk, localized, Gleason score ≤7 PC. The ERSPC cohort included 241 men followed for 9.5 yr (median) with a non–protocol-based follow-up. The PRIAS cohort included 277 men followed for 5 yr (median) with a strict protocol. Outcome measurements and statistical analysis OS, CSS, MFS, and TFS were compared by the Kaplan-Meier method, competing risk analysis, and Cox proportional hazard regression. Results and limitations As expected, due to the difference in median follow-up time between the cohorts, a difference in the absolute number of events was seen. However, no difference in any of the survival outcomes was evident in the Kaplan-Meier or competing risks analysis. Furthermore, in Cox proportional hazard regression analysis, cohort (ERSPC vs PRIAS) was not associated with any of the outcomes. Results are limited by the retrospective study design, limited statistical power, and inability to match the cohorts for predictive factors. Conclusions There was no difference in survival outcomes between a non–protocol-based follow-up and a protocol-based contemporary AS follow-up of patients with low-risk PC. However, a longer follow-up is needed. Patient summary We compared survival outcomes of two cohorts of patients with low-risk prostate cancer: a strict and a loose follow-up protocol. We found no differences in survival measures between the cohorts.

Purpose: To identify whether any patient factors, injury factors, or symptom severity scores are associated with either psychological or physical readiness to return to sport after anterior cruciate ligament reconstruction (ACLR). Methods: Consecutive patients with an ACL injury that required surgical treatment were included in this study. All patients completed the single-legged hop testing and the Anterior Cruciate Ligament Return to Sport Index (ACL-RSI) at 1 year postoperatively. Multivariable regression analysis models were used to determine whether an independent relationship existed between baseline patient factors (age, sex, BMI, preinjury Marx Activity Score), injury factors (meniscal tear and chondral injury), physical symptoms (Knee Injury and Osteoarthritis Outcome Score [KOOS] for pain and symptoms), and the dependent variables of physical and psychological readiness to return to sport (single-legged hop and ACL-RSI). Results: Of the 113 patients who were included, 37% were female, and the mean age of our population was 28.2 years (SD = 8.1). Multivariable regression models demonstrated that patient-reported pain symptoms at 1 year postoperatively, as measured by the KOOS pain subscale, was significantly associated with both ACL-RSI score (Beta estimate: 1.11 [95% CI: .62-1.60] P < .001) and the ability to pass the single-legged hop test (OR: 1.07 [95% CI: 1.004-1.142] P = .037). Conclusions: Patients with higher reported pain levels at 1 year following ACLR have lower psychological and physical readiness to return to sport. Level of Evidence: Level 3, retrospective cohort study.

Purpose: The purpose of this study was to clarify the independent factors related to patient-reported physical functioning (PF) scores at discharge of patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT). Methods: A total of 103 patients who underwent allo-HSCT were included in this cross-sectional study. As a screening method, a single regression analysis was conducted with the PF domain in the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 at discharge as the dependent variable, and body mass index, adverse events related to HSCT, and objective physical functions as independent variables. Multiple regression analysis was performed with PF as the dependent variable and variables that passed the screening by single regression analysis and confounders as independent variables. Results: The mean PF score at discharge of the patients was 76.5 (standard deviation: 15.2). Based on the results of screening by the single regression analysis, length of stay, infections (+/−), acute graft-versus-host disease grade, brief fatigue inventory score (BFI), knee extensor strength, and 6-min walk distance (6MWD) were included in the multiple regression analysis. BFI (B = − 11.94, p < 0.001) and 6MWD (per 10m) (B = 0.56, p = 0.001) were extracted as significant independent variables governing the PF at discharge in the multiple regression model (adjusted R2 = 0.59). Conclusion: Higher exercise tolerance and lower fatigue in patients who underwent allo-HSCT were associated independently with patient-reported better PF scores at discharge.

Background:The chance of incidentally detecting brain tumors is increasing as the utilization of magnetic resonance imaging (MRI) becomes more prevalent. In this background, knowledge is accumulating in relation to the prediction of their clinical sequence. However, their prevalence-especially the prevalence of glioma-has not been adequately investigated according to age, sex, and region., Method:We systematically reviewed the articles according to the PRISMA statement and calculated the prevalence of meningiomas and diffuse gliomas in adults using a generalized linear mixed model. Specifically, the differences related to age, sex, and region were investigated., Results:The pooled prevalence of incidental meningiomas in MRI studies was 0.52% (95% confidence interval (CI) [0.34-0.78]) in 37,697 individuals from 36 studies. A meta-regression analysis showed that the prevalence was significantly higher in elderly individuals, women, and individuals outside Asia; this remained statistically significant in the multivariate meta-regression analysis. The prevalence reached to 3% at 90 years of age. In contrast, the prevalence of gliomas in 30,918 individuals from 18 studies was 0.064% (95%CI [0.040 - 0.104]). The meta-regression analysis did not show a significant relationship between the prevalence and age, male sex, or region. The prevalence of histologically confirmed glioma was 0.026% (95%CI [0.013-0.052])., Conclusions:Most of meningiomas, especially those in elderlies, remained asymptomatic, and their prevalence increased with age. However, the prevalence of incidental gliomas was much lower and did not increase with age. The number of gliomas that developed and the number that reached a symptomatic stage appeared to be balanced.

Background Multi-ligament knee injury (MLKI) is a rare but severe injury with potential devastating complications. The primary goal of this study was to investigate return to sports and work after MLKI. Secondary outcomes were patient reported outcome measures (PROMs), treatment, time between trauma, diagnosis and treatment, and neurovascular damage. Method A database search was performed to identify all patients with MLKI in our hospital (2010–2017). Pre-defined variables were collected from patient files and questionnaires. Multiple regression analysis was used to study the relationship between different variables and PROMs. Results 31 patients were included. The overall return to sports rate after a MLKI was 88.5%, but only 23.1% returned to their pre-injury level. 83.3% of the patients were able to return to work. Multiple regression analyses led to a significant prediction model for pain during rest (F(7,16) = 2.808, p = 0.041, R2 = 0.355). Within this model, a higher age was a significant predictor for higher pain scores (p = 0.002). Age was also a significant (negative) predictor within the non-significant models for IKDC (p = 0.004) and Lysholm (p = 0.024). A delay between trauma and diagnosis of more than three months was seen in 32.3% of the patients. Conclusions This study showed a relatively high overall return to sports and work after MLKI, but less than a quarter returned to their pre-injury level of sports. An important finding was the substantial number of patients with a delay between trauma and diagnosis. This study contributes to more awareness and knowledge about MLKI among physicians, which is essential to reduce these delays.

The association between alcohol intake and stomach cancer risk remains controversial. We undertook a pooled analysis of data from six large‐scale Japanese cohort studies with 256 478 participants on this topic. Alcohol intake as ethanol was estimated using a validated questionnaire. The participants were followed for incidence of stomach cancer. We calculated study‐specific hazard ratios (HRs) and 95% confidence intervals (CIs) for stomach cancer according to alcohol intake using a Cox regression model. Summary HRs were estimated by pooling the study‐specific HRs using a random‐effects model. During 4 265 551 person‐years of follow‐up, 8586 stomach cancer cases were identified. In men, the multivariate‐adjusted HRs (95% CIs) of stomach cancer were 1.00 (0.87‐1.15) for occasional drinkers, and 1.00 (0.91‐1.11) for, Alcohol intake increased stomach cancer risk in men, and heavy drinkers showed a greater point estimate of risk for proximal cancer than for distal cancer.

Purpose Several observational studies have presented conflicting results on the association between the use of proton pump inhibitors (PPIs) or histamine H2 receptor antagonist (H2RA) and the risk of coronavirus disease 2019 (COVID-19). This systematic review and meta-analysis aimed to examine this association. Methods In July 2021, PubMed, Embase, Cochrane Central Register of Controlled Trials, and Web of Science were searched for articles investigating the relationship between the two main acid suppressants and COVID-19. Studies showing the effect estimates as hazard ratio (HR) for severe outcomes or incidence of COVID-19 were evaluated using a random-effects model. Results A total of 15 retrospective cohort studies with 18,109 COVID-19 cases were included in the current meta-analysis. PPI use was significantly associated with severe outcomes of COVID-19 (hazard ratio [HR] = 1.53; 95% confidence interval [CI]: 1.20–1.95) but not with the incidence of COVID-19, whereas H2RA use was significantly associated with decreased incidence (HR = 0.86, 95% CI: 0.76–0.97). For subgroup analyses of PPIs, increased severe outcomes of COVID-19 were observed in 60 years, while in-hospital use and use in Asia were associated with higher disease severity. Conclusions Close observation can be considered for COVID-19 patients who use PPIs to prevent severe outcomes. However, caution should be taken because of substantial heterogeneity and plausible protopathic bias. Supplementary information The online version contains supplementary material available at 10.1007/s00228-021-03255-1.

PURPOSE The purpose of this study was to evaluate the outcomes of athletes 5-years post-operatively following arthroscopic Bankart repair, and to evaluate factors associated with satisfaction and shoulder function, as defined by subjective shoulder value. METHODS A retrospective review of athletes who underwent arthroscopic Bankart repair, with a minimum of 5-year follow-up was performed. Recurrence, Visual Analogue Scale (VAS) score, Subjective Shoulder Value (SSV), satisfaction, and whether they would undergo the same surgery again, and rate, level and timing of return to play, and Shoulder Instability-Return to Sport after Injury (SIRSI) score were evaluated. Multi-linear regression models were used to evaluate factors affecting postoperative Satisfaction, and SSV level. RESULTS Overall, 144 athletes who underwent arthroscopic Bankart repair were included, with a mean age of 26.9 years (SD: 8.1), 132 (91.7%) were males, and mean follow-up of 75.7 months. At final follow up, 82.6% were satisfied/very satisfied, and the mean SSV was 85.8 (SD: 14.4). Overall, the rate of return to play was 80.5%, with 63.9% returning at the same level at a mean of 6.2 months (SD: 2.7). Overall, there was 18 (12.5%) had recurrent instability, and a further procedure was performed in 15 (10.4%) patients. Linear regression revealed that the SIRSI score (p

Introduction Breast cancer survivors may suffer side effects from treatment, such as impaired upper limb function after surgery, which may be affected by a range of factors. Aim The aim of this study is to analyse the association between upper limb function and strength, fear avoidance, and central sensitisation symptoms among breast cancer survivors, and to explore how these variables are associated with upper limb function. Design Validation cohort. Setting Institutional Practice at Public Hospital PATIENTS: 174 breast cancer survivors who had been undergone surgery for a primary tumour. Interventions Not applicable. Main outcome measure Upper limb function was measured by the Upper Limb Functional Index (ULFI-Sp). Independent outcomes were: handgrip strength, which was measured using a Jamar dynamometer on the dominant side; fear avoidance, measured using the Fear-Avoidance Components Scale (FACS-Sp); and central sensitisation symptoms, that were measured using the Central Sensitisation Inventory (CSI-Sp). A linear regression model explaining the ULFI-Sp results was constructed with the variables. Results The regression model was significant (F=46.826; p=0.00), and explained 45% of the variance of the ULFI values. All variables showed strong associations with upper limb function. Conclusions Greater upper limb function is associated with higher grip strength, lower fear-avoidance behaviour and fewer central sensitisation symptoms among breast cancer survivors. These variables explained 45% of the upper limb function in the regression model, and concur with earlier research showing that factors such as central sensitisation symptoms and kinesiophobia negatively affect upper limb function in such patients. Clinicians should therefore take into account strength, fear avoidance, and central sensitisation symptoms when considering interventions aimed at improving upper limb function among breast cancer survivors. This article is protected by copyright. All rights reserved.

STUDY DESIGN General population utility valuation study. OBJECTIVE The aim of this study was to develop a technique for calculating utilities from the modified Japanese Orthopedic Association (mJOA) Score. SUMMARY OF BACKGROUND DATA The ability to calculate quality-adjusted life-years (QALYs) for degenerative cervical myelopathy (DCM) would enhance treatment decision making and facilitate economic analysis. QALYs are calculated using utilities. METHODS We recruited a sample of 760 adults from a market research panel. Using an online discrete choice experiment, participants rated eight choice sets based on mJOA health states. A multiattribute utility function was estimated using a mixed multinomial-logit regression model. The sample was partitioned into a training set used for model fitting and validation set used for model evaluation. RESULTS The regression model demonstrated good predictive performance on the validation set with an area under the curve of 0.81 (95% confidence interval: 0.80-0.82)). The regression model was used to develop a utility scoring rubric for the mJOA. Regression results revealed that participants did not regard all mJOA domains as equally important. The rank order of importance was (in decreasing order): lower extremity motor function, upper extremity motor function, sphincter dysfunction, upper extremity sensation. CONCLUSION This study provides a simple technique for converting the mJOA score to utilities and quantify the importance of mJOA domains. The ability to evaluate QALYs for DCM will facilitate economic analysis and patient counseling. Clinicians should heed these findings and offer treatments that maximize function in the attributes viewed most important by patients.Level of Evidence: 3.

The Freiburg index of post-TIPS survival (FIPS) score was recently demonstrated to improve prediction of post-TIPS mortality relative to existing standards. As this score was derived from a German cohort over an extended time period, it is unclear if performance will translate well to other settings. This study aimed to externally validate the FIPS score in a large Veterans Affairs (VA) cohort over two separate eras of TIPS-related care. This was a retrospective cohort study of patients with cirrhosis who underwent TIPS placement in the VA from 2008 to 2020. Cox regression models for post-TIPS survival were constructed using FIPS, MELD, MELD-Na, or CTP scores as predictors. Discrimination (Harrell’s C) and calibration (joint tests of calibration curve slope and intercept) were evaluated for each score. A stratified analysis was performed for time periods between 2008–2013 and 2014–2020. The cohort of 1,274 patients was 97.3% male with mean age 60.9 years and mean MELD-Na 14. The FIPS score demonstrated the highest overall discrimination versus MELD, MELD-Na, and CTP (0.634 vs. 0.585, 0.626, 0.612, respectively). However, in the modern treatment era (2014–2020), the FIPS score performed similarly to MELD-Na. Additionally, the FIPS score demonstrated poor calibration at one-month and six-month post-TIPS timepoints (joint p = 0.04 and 0.004, respectively). MELD, MELD-Na, and CTP were well-calibrated at each timepoint (each joint p > 0.05). The FIPS score performed similarly to MELD-Na in the modern TIPS treatment era and demonstrated regions of poor calibration. Future models derived with contemporary data may improve prediction of post-TIPS mortality.

Background Trauma patients are at high risk for venous thromboembolism (VTE). Opportunity for chemical VTE prophylaxis improvement was identified and practice was altered to start chemoprophylaxis on admission in most patients. The purpose of this study was to determine if early VTE prophylaxis is safe and reduces VTE. Methods The trauma registry was queried over a 12-month period for patients admitted greater than 1 day for traumatic injury. The study spanned 6 months on either side of instituting aggressive chemoprophylaxis. Patients were risk adjusted on demographics, Injury Severity Score, transfusions, procedure type, length of stay, and mortality. Pre-intervention patients were then compared to patients in the aggressive cohort with the primary outcome of VTE. Secondary outcomes included transfusions, mortality, and length of stay (LOS). Results 1597 patients were identified over the study period with 754 (47%) patients in the aggressive period. There were no differences in age, sex, Injury Severity Score, transfusions, procedures, or LOS between cohorts. Pre-algorithm patients were more likely to have penetrating mechanism (9.3% vs 6.6%; P = .009) and longer time to VTE prophylaxis (23.3 vs 13.9 hours; P < .001). No differences were noted in anticoagulant, VTE rate (2.0% vs 1.2%; P = .195), or mortality. Linear regression analysis identified time to chemical prophylaxis as significant predictor of VTE (β = 43.9, P < .001). Conclusions Early aggressive chemical VTE prophylaxis is safe without increasing transfusions. Venous thromboembolism rates were decreased, but did not reach statistical significance.

Background Redundant publication of systematic reviews and meta-analyses (SRs/MAs) on the same topic presents an increasing burden for clinicians. The aim of this study was to describe variabilities in effect size and methodological quality of overlapping surgery-related SRs/MAs and to investigate factors associated with their postpublication citations. Methods PubMed/MEDLINE was searched to identify SRs/MAs of RCTs on thoracoabdominal surgeries published in 2015. Previous SRs/MAs on the same topics published within the preceding 5 years (2011–2015) were identified and 5-year citation counts (through to 2020) were evaluated. Discrepancies in pooled effect sizes and their methodological quality using A Measurement Tool to Assess Systematic Reviews (AMSTAR) among overlapping SRs/MAs were assessed. The SR/MA-level factors associated with 5-year citation counts were explored, using a mixed-effects regression model with a random intercept for surgical topics. Results A total of 57 surgery-related SRs/MAs (48 topics) published in 2015 were identified, and 146 SRs/MAs had overlapping publications on 29 topics (60.4 per cent of all topics) in the preceding 5 years. There was considerable variability in methodological quality of SRs/MAs and coverage probability for relevant RCTs, resulting in discrepant effect size estimates for the same topic. High quality (AMSTAR score 8–11) was independently associated with higher 5-year citation counts (coefficient = 32.82; 95 per cent c.i. 15.63 to 50.02; P Conclusion Overlapping SRs/MAs with high variability in results and methodological quality were common in surgery. A high-quality SR/MA score was an independent predictor of more frequent citations. Researchers and journal editors should concentrate their efforts on limiting publications to higher-quality reviews.

OBJECTIVES To explore and establish a reliable and noninvasive ultrasound model for predicting the biological risk of gastrointestinal stromal tumors (GISTs). MATERIALS AND METHODS We retrospectively reviewed 266 patients with pathologically-confirmed GISTs and 191 patients were included. Data on patient sex, age, tumor location, biological risk classification, internal echo, echo homogeneity, boundary, shape, blood flow signals, presence of necrotic cystic degeneration, long diameter, and short/long (S/L) diameter ratio were collected. All patients were divided into low-, moderate-, and high-risk groups according to the modified NIH classification criteria. All indicators were analyzed by univariate analysis. The indicators with inter-group differences were used to establish regression and decision tree models to predict the biological risk of GISTs. RESULTS There were statistically significant differences in long diameter, S/L ratio, internal echo level, echo homogeneity, boundary, shape, necrotic cystic degeneration, and blood flow signals among the low-, moderate-, and high-risk groups (all p

To establish and validate a predictive model integrating with clinical and dual-energy CT (DECT) variables for individual recurrence-free survival (RFS) prediction in early-stage glottic laryngeal cancer (EGLC) after larynx-preserving surgery. This retrospective study included 212 consecutive patients with EGLC who underwent DECT before larynx-preserving surgery between January 2015 and December 2018. Using Cox proportional hazard regression model to determine independent predictors for RFS and presented on a nomogram. The model’s performance was assessed using Harrell’s concordance index (C-index), time-dependent area under curve (TD-AUC) plot, and calibration curve. A risk stratification system was established using the nomogram with median scores of all cases to divide all patients into two prognostic groups. Recurrence occurred in 39/212 (18.4%) cases. Normalized iodine concentration in arterial (NICAP) and venous phases (NICVP) were verified as significant predictors of RFS in multivariate Cox regression (hazard ratio [HR], 4.2; 95% confidence interval [CI]: 2.3, 7.7, p

Transoral Endoscopic Thyroidectomy Vestibular Approach (TOETVA) is a natural orifice transluminal endoscopic surgery that offers a truly scarless approach to thyroidectomy. Introduced in 2008, there is a growing body of literature establishing it as a safe endoscopic approach for thyroid procedures. While it is not yet widely practiced, it is quickly growing in popularity. As more surgeons begin to add this technique to their repertoire the question of the learning curve has to be examined. Case series from the initial TOETVA operations of four surgeons at three different hospitals were examined. Binomial and ordinal logistic regression were used to characterize the changes in complication rate and severity as they related to case number in the series. Statistics were performed in Minitab and SAS. Each surgeon performed between 23 and 40 TOETVA operations for a total of 130 cases. Binary logistic regression shows a negative relationship between case number and complication rate (P

Objectives COVID-19 has caused significant surgical delays as institutions minimize patient exposure to hospital settings and utilization of health care resources. We aimed to assess changes in surgical case mix and outcomes due to restructuring during the pandemic. Methods Patients undergoing surgery at a single tertiary care institution in the Deep South were identified using institutional ACS-NSQIP data. Primary outcome was case mix. Secondary outcomes were post-operative complications. Chi-square, ANOVA, logistic regression, and linear regression were used to compare the control (pre-COVID, Mar 2018-Mar 2020) and case (during COVID, Mar 2020-Mar 2021) groups. Results Overall, there were 6912 patients (control: 4,800 and case: 2112). Patients were 70% white, 29% black, 60% female, and 39% privately insured. Mean BMI was 30.2 (SD = 7.7) with mean age of 58.3 years (SD = 14.8). Most surgeries were with general surgery (48%), inpatient (68%), and elective (83%). On multivariable logistic regression, patients undergoing surgery during the pandemic were more likely to be male (OR: 1.14) and in SIRS (OR: 2.07) or sepsis (OR: 2.28) at the time of surgery. Patients were less likely to have dyspnea with moderate exertion (OR: .75) and were less dependent on others (partially dependent OR: .49 and totally dependent OR: .15). Surgeries were more likely to be outpatient (OR: 1.15) and with neurosurgery (OR: 1.19). On bivariate analysis, there were no differences in post-operative outcomes. Conclusion Surgeries during the COVID-19 pandemic were more often outpatient without differences in post-operative outcomes. Additional analysis is needed to determine the impact of duration of operative delay on surgical outcomes with restructuring focusing more on outpatient surgeries.

A large proportion of people with diabetes do not receive proper foot screening due to insufficiencies in healthcare systems. Introducing an effective risk prediction model into the screening protocol would potentially reduce the required screening frequency for those considered at low risk for diabetic foot complications. The main aim of the study was to investigate the value of individualised risk assignment for foot complications for optimisation of screening. From 2015 to 2020, 11,878 routine follow-up foot investigations were performed in the tertiary diabetes clinic. From these, 4282 screening investigations with complete data containing all of 18 designated variables collected at regular clinical and foot screening visits were selected for the study sample. Penalised logistic regression models for the prediction of loss of protective sensation (LOPS) and loss of peripheral pulses (LPP) were developed and evaluated. Using leave-one-out cross validation (LOOCV), the penalised regression model showed an AUC of 0.84 (95% CI 0.82, 0.85) for prediction of LOPS and 0.80 (95% CI 0.78, 0.83) for prediction of LPP. Calibration analysis (based on LOOCV) presented consistent recall of probabilities, with a Brier score of 0.08 (intercept 0.01 [95% CI −0.09, 0.12], slope 1.00 [95% CI 0.92, 1.09]) for LOPS and a Brier score of 0.05 (intercept 0.01 [95% CI −0.12, 0.14], slope 1.09 [95% CI 0.95, 1.22]) for LPP. In a hypothetical follow-up period of 2 years, the regular screening interval was increased from 1 year to 2 years for individuals at low risk. In individuals with an International Working Group on the Diabetic Foot (IWGDF) risk 0, we could show a 40.5% reduction in the absolute number of screening examinations (3614 instead of 6074 screenings) when a 10% risk cut-off was used and a 26.5% reduction (4463 instead of 6074 screenings) when the risk cut-off was set to 5%. Enhancement of the protocol for diabetic foot screening by inclusion of a prediction model allows differentiation of individuals with diabetes based on the likelihood of complications. This could potentially reduce the number of screenings needed in those considered at low risk of diabetic foot complications. The proposed model requires further refinement and external validation, but it shows the potential for improving compliance with screening guidelines.

Purpose To examine the influence of demographic, audiologic, and hearing-aid (HA)-related variables on HA outcomes. Methods In total, 235 adults with hearing loss (HL) who used HAs for at least 3 months were included in the study, and completed audiologic tests and the Chinese version of the International Outcome Inventory for Hearing Aids (IOI-HA). Spearman correlation analysis and Wilcoxon test were conducted to identify factors related to IOI-HA overall and subscales scores. Stepwise multiple linear regression analysis was subsequently performed to determine the influence of factors on HA outcomes. Results Age, daily use time, HA price, pure tone average (PTA) threshold, word recognition score (WRS), fitting (bilateral or unilateral), and HA style were associated with IOI-HA overall and subscales scores. However, only WRS, daily HA use time, HA price, and age entered the final regression model and were factors determining HA outcomes. Conclusions HA outcome is a multi-dimensional construct. In this study, WRS had the greatest influence on HA outcomes and seemed to be a primary predictor. Thus, HA owners with a higher WRS before HA fitting may indicate better satisfaction. Daily use time, HA price, and patient age also made significant contributions to HA outcomes and should be considered in clinical practice to facilitate auditory rehabilitation.

To stratify the heterogeneity of prostate cancer (PCa) with seminal vesicle invasion (SVI) immunologically after radical prostatectomy focusing on the tumor microenvironment. We retrospectively reviewed the clinicopathological data of 71 PCa patients with SVI, which is known as a factor of very high-risk PCa. Preoperative clinical variables and postoperative pathological variables were evaluated as predictors of biochemical recurrence (BCR) with a multivariate logistic regression. Immune cell infiltration including the CD8-positive cell (CD8+ cell) and CD204-positive M2-like macrophage (CD204+ cell) was investigated by immunohistochemistry. The cumulative incidence and risk of BCR were assessed with a Kaplan–Meier analysis and competing risks regression. A higher CD8+ cell count in the SVI area significantly indicated a favorable prognosis for cancers with SVI (p = 0.004). A lower CD204+ cell count in the SVI area also significantly indicated a favorable prognosis for cancers with SVI (p = 0.004). Furthermore, the combination of the CD8+ and CD204+ cell infiltration ratio of the SVI area to the main tumor area was a significant factor for BCR in the patients with the PCa with SVI (p = 0.001). In PCa patients with SVI, the combination of CD8+ and CD204+ cell infiltration is useful to predict the prognosis.

Background As the COVID-19 pandemic continues, the number of patients admitted to the intensive care unit (ICU) is still increasing. The aim of our article is to estimate which of the conventional ICU mortality risk scores is the most accurate at predicting mortality in COVID-19 patients and to determine how these scores can be used in combination with the 4C Mortality Score. Methods This was a retrospective study of critically ill COVID-19 patients treated in tertiary reference COVID-19 hospitals during the year 2020. The 4C Mortality Score was calculated upon admission to the hospital. The Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II, and Sequential Organ Failure Assessment (SOFA) scores were calculated upon admission to the ICU. Patients were divided into two groups: ICU survivors and ICU non-survivors. Results A total of 249 patients were included in the study, of which 63.1% were male. The average age of all patients was 61.32 ± 13.3 years. The all-cause ICU mortality ratio was 41.4% (n = 103). To determine the accuracy of the ICU mortality risk scores a ROC-AUC analysis was performed. The most accurate scale was the APACHE II, with an AUC value of 0.772 (95% CI 0.714–0.830; p Conclusions The study demonstrated that the APACHE II had the best discrimination of mortality in ICU patients. Both the APACHE II and 4C Mortality Score independently predict mortality risk and can be used concomitantly.

Background Obesity is a widely accepted risk factor for the development of severe COVID-19. We sought to determine the survival benefit of early initiation of aggressive anticoagulation in obese critically ill COVID-19 patients. Methods We retrospectively reviewed 237 intubated patients at a single academic accredited bariatric center and stratified them based on their BMI into 2 groups, obese (BMI > 30) and non-obese (BMI ≤ 30). We used chi-square tests to compare categorical variables such as age and sex, and two-sample t-tests or Mann Whitney U-tests for continuous variables, including important laboratory values. Cox proportional-hazards regression models were utilized to determine whether obesity was an independent predictor of survival and multivariable analysis was performed to compare risk factors that were deemed significant in the univariable analysis. Survival with respect to BMI and its association with level of anticoagulation in the obese cohort was evaluated using Kaplan–Meier models. Results The overall mortality in the obese and non-obese groups was similar at 47% and 44%, respectively (p = 0.65). Further analysis based on the level of AC showed that obese patients placed on early aggressive AC protocol had improved survival compared to obese patients who did not receive protocol based aggressive AC (ON-aggressive AC protocol 26% versus OFF-aggressive AC protocol 61%, p = 0.0004). Conclusions The implementation of early aggressive anticoagulation may balance the negative effects of obesity on the overall mortality in critically ill COVID-19 patients. Graphical abstract

Objective A model that can predict reliably the risk of pre‐eclampsia (PE)‐related pregnancy complications does not exist. The aim of this study was to develop and validate internally a clinical prediction model to predict the risk of a composite outcome of PE‐related maternal and fetal complications within 7, 14 and 30 days of testing in women with suspected or confirmed PE. Methods The data for this study were derived from a prospective, multicenter, observational cohort study on women with a singleton pregnancy and suspected or confirmed PE at 20 to

The key component of this study is to analyze the change in fatigue Indices during muscular exhaustion by applying this connection. Forty male volleyball players aged 14-19 years having no muscular injury participated in this study. Surface-EMG was done in biceps brachii of dominant hand in each player. Endurance time was recorded by holding 30 percent of MVC in each subject until breakpoint was attained. Fatigue Indices were computed from the raw EMG signals using FFT. Pearson’s correlation and regression with the best fitting curve analysis were performed to establish the relationships between the variables. Fatigue indices were shown to have a positive correlation with endurance time (p

Purpose The study was designed to elucidate the predictive value of the number of lymph node metastases (LNMs) and lymph node ratio (LNR) for response to therapy restratification system (RTRS). Methods From December 2015 to December 2019, 1228 patients who accepted radioactive iodine (RAI) were collected in the study. After 6–8 months, response to RAI was evaluated as complete response (excellent response) and incomplete response (indeterminate, biochemical, and structural incomplete response). The study developed classification tree to determine the optimum LNMs and LNR that predicted response to RAI. Multivariate logistic regression analyses were further analyzed to find independent factors of response to RAI. Result The mean age of patients was 44 ± 12 and 71.09% (873/1228) were females. The best cutoff value of LNMs to affect RAI treatment response determined by classification tree was 5. Further in 388 patients with LNMs >5, the best cutoff value of LNR to affect RAI treatment response determined by classification tree was 0.30. With multivariate analysis, the study found that LNMs (>5), gender, lymph node dissection, and American Thyroid Association (ATA) risk classification were independent predictors of response to RAI for all 1228 patients; and LNR (>0.30), gender, and ATA risk classification for 388 patients with LNMs >5. The sensitivity analysis indicated that whether patients with LNM or not were included, the multivariate logistic regression model was kept stable. On subgroup analysis, no significant interactions were observed between the effect of LNMs/LNR and gender, N stage, ATA risk classification, lymph node dissection, or T stage. Conclusions With classification tree, the study found that LNMs and LNR could predict initial response to RAI, and their optimal cutoff values were 5 and 0.30, separately., The prognostic significance of lymph node metastasis for DTC patients remains controversial. With classification tree, the study found increasing LNMs and LNR may be risk factors for initial RAI therapy response, and optimal cutoff values were 5 and 0.30, separately.

BACKGROUND The healthy eating index-2015 (HEI-2015) reflects diet quality in reference to the 2015-2020 Dietary Guidelines for Americans (DGA). Little is known regarding its application in individuals with chronic spinal cord injury (SCI). OBJECTIVE To explore the relationship between diet quality as assessed by the HEI-2015 and cardiovascular risk factors among individuals with chronic SCI. DESIGN This is a cross-sectional analysis of baseline data collected from August 2017 through November 2019 for an interventional study that evaluates the effects of a high-protein/low-carbohydrate diet on cardiovascular risk factors in individuals with chronic SCI at the University of Alabama at Birmingham. PARTICIPANTS/SETTING Twenty-four free-living adults with SCI (mean age, 45 ± 12 y; 8F/16M, level of injury: nine cervical, 15 thoracic; mean duration of injury: 20 ± 13 y) were included. MAIN OUTCOME MEASURES Participants underwent a 2-hour oral glucose tolerance test (OGTT) and a dual-energy x-ray absorptiometry scan. Dietary intake was assessed by three, 24-hour multiple-pass dietary recalls to calculate the HEI-2015 using the simple HEI scoring algorithm method. DATA ANALYSIS Multiple linear regression analyses were performed to predict indices of lipid metabolism and glucose homeostasis and C-reactive protein (CRP) from the HEI-2015. Principal component analysis was used to reduce the number of covariates (level of injury, sex, and body fat percentage). RESULTS On average, participants' diets were of low quality (HEI-2015, 47.2 ± 10.8). The regression models for fasting glucose (FG), cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and CRP had moderate to large effect sizes (adjusted R2 ≥ 13%), suggesting good explanatory abilities of the predictors. Small or limited effect sizes were observed for glucose tolerance, fasting insulin, triglycerides, and Matsuda index (adjusted R2 < 13%). The HEI-2015 accounted for a moderate amount of variation in FG (partial omega-squared, ωP2 = 13%). Each 10-point HEI-2015 score increase was associated with a 3.3-mg/dL decrease in FG concentrations. The HEI-2015 accounted for a limited amount of variation in other indices (ωP2 < 5%). CONCLUSIONS Among participants with SCI, higher conformance to the 2015-2020 DGA was 1) moderately associated with better FG homeostasis; and 2) trivially associated with other cardiovascular risk factors. Because of the small sample size, these conclusions cannot be extrapolated beyond the study sample. Future larger studies are warranted to better understand the relationship between diet quality and cardiovascular disease risks in this population.

This retrospective study aimed to evaluate the factors affecting recurrence and visual prognosis in patients with treatment-naïve subfoveal polypoidal choroidal vasculopathy (PCV). Patients who had received three consecutive intravitreal injections of ranibizumab or aflibercept and had reached remission were enrolled. They were divided into a group without recurrence (group 1, 26 eyes) and a group with recurrence (group 2, 121 eyes) and followed up for at least 5 years. Patients in group 2 received additional treatment for worsening. Logistic regression analysis revealed that a young age of onset (P = 0.001), high choroidal vascularity index (CVI; P = 0.019), and presence of choroidal vascular hyperpermeability (CVH; P = 0.037) were associated with a low risk of recurrence. Multiple regression analysis revealed that recurrence (P = 0.001), greatest linear dimension (P = 0.003), and polyp configuration (single or cluster; P = 0.043) were associated with final visual acuity. Patients without recurrence had a lower age of onset and higher CVI than those with recurrence, and they tended to have CVH. In addition, patients with recurrence, large lesion, and cluster polyps had worse final visual acuity than those without these factors. CVI and CVH may be used to predict recurrence of PCV.

Background The effects of vitamin C on clinical outcomes in critically ill patients remain controversial due to inconclusive studies. This retrospective observational cohort study evaluated the effects of vitamin C therapy on acute kidney injury (AKI) and mortality among septic patients. Methods Electronic medical records of 1390 patients from an academic hospital who were categorized as Treatment (received at least one dose of 1.5 g IV vitamin C, n = 212) or Comparison (received no, or less than 1.5 g IV vitamin C, n = 1178) were reviewed. Propensity score matching was conducted to balance a number of covariates between groups. Multivariate logistic regressions were conducted predicting AKI and in-hospital mortality among the full sample and a sub-sample of patients seen in the ICU. Results Data revealed that vitamin C therapy was associated with increases in AKI (OR = 2.07 95% CI [1.46–2.93]) and in-hospital mortality (OR = 1.67 95% CI [1.003–2.78]) after adjusting for demographic and clinical covariates. When stratified to examine ICU patients, vitamin C therapy remained a significant risk factor of AKI (OR = 1.61 95% CI [1.09–2.39]) and provided no protective benefit against mortality (OR = 0.79 95% CI [0.48–1.31]). Conclusion Ongoing use of high dose vitamin C in sepsis should be appraised due to observed associations with AKI and death.

PURPOSE Immunotherapy has been approved to treat many tumor types. However, one characteristic of this therapeutic class is that survival benefit is due to late immune response, which leads to a delayed treatment effect. Quantifying the benefit, if any, of such treatment, will thus require other metrics than the usual hazard ratio and different approaches have been proposed to quantify the long-term response of immunotherapy. METHOD In this paper, we suggest to use quantile regression for survival data to quantify the long-term benefit of immunotherapy. Our motivation is that this approach is not trial-specific and provides clinically understandable results without specifying arbitrary time points or the necessity to reach median survival, as is the case with other methods. We use reconstructed data from published Kaplan-Meier curves to illustrate our method. RESULTS On average, patients from the immunotherapy group have 60% chance to survive 5.46 months (95% CI, 2.57 to 9.02) more than patients in the chemotherapy group.

Results of observational investigations have demonstrated that the risk of a traffic accident is independent of use of AEDs. However, no reports of driving tests conducted with patients administered AEDs have been presented. This study examined this scenario in a simulated driving setting.Driving performance of 43 patients with epilepsy (PWE) and prescribed an AED, who were licensed to drive and drove regularly (subject group), was assessed, with the results compared to 40 age- and gender-matched healthy volunteers (control group). Daily driving skills associated with a traffic accident were examined using two different tests provided by a driving simulator software package, road-tracking and car-following. Standard deviation of lateral position (SDLP) and distance coefficient of variation (DCV) were determined as primary and exploratory outcomes, respectively.There was no statistically significant difference for primary outcome shown by SDLP between the subject and control groups (p = 0.906), nor for exploratory outcome shown by DCV (p = 0.063). Multiple regression analysis revealed that age (ß=0.967, p = 0.001), female gender (ß=0.469, p0.001), and duration of driving experience (ß=-0.583, p = 0.038) were correlated with SDLP.The present results demonstrated that the driving performance of PWE taking AEDs was not different from that of healthy volunteers.

Background Competitive Endogenous RNA (ceRNA) may be closely associated with tumor progression. However, studies on ceRNAs and immune cells in LUAD are scarce. Method The profiles of gene expression and clinical data of LUAD patients were extracted from the TCGA database. Bioinformatics methods were used to evaluate differentially-expressed genes (DEGs) and to form a ceRNA network. Preliminary verification of clinical specimens was utilized to detect the expressions of key biomarkers at the tissues. Cox and Lasso regressions were used to identify key genes, and prognosis prediction nomograms were formed. The mRNA levels of 9 genes in the risk score model in independent clinical LUAD samples were detected by qRT-PCR. The interconnection between the risk of cancer and immune cells was evaluated using the CIBERSORT algorithm, while the conformation of notable tumor-infiltrating immune cells (TIICs) in the LUAD tissues of the high and low risk groups was assessed using the RNA transcript subgroup in order to identify tissue types. Finally, co-expression study was used to examine the interconnection between the key genes in the ceRNA networks and the immune cells. Result A ceRNA network of 115 RNAs was established, and nine key genes were identified to construct a Cox proportional-hazard model and create a prognostic nomogram. This risk-assessment model might serve as an independent factor to forecast the prognosis of LUAD, and it was consistent with the preliminary verification of clinical specimens. Survival analysis of clinical samples further validated the potential value of high risk groups in predicting LUAD prognosis. Five immune cells were identified with significant differences in the LUAD tissues of the high and low risk groups. Besides, two pairs of biomarkers associated with the growth of LUAD were found, i.e., E2F7 and macrophage M1 (R = 0.419, p = 1.4e− 08) and DBF4 and macrophage M1 (R = 0.282, p − 16). Conclusion This study identified several important ceRNAs, i.e. (E2F7 and BNF4) and TIICs (macrophage M1), which might be related to the development and prognosis of LUAD. The established risk-assessment model might be a potential tool in predicting LUAD of prognosis.

Background Patient safety culture is an essential factor in the decreasing of medical errors and development of the institutions. This study was conducted to determine to what extent the selected variables, including age, weekly working hours, years of experience, burnout, turnover intention, workload, and job satisfaction, predict perceived patient safety culture among emergency nurses in Jordanian hospitals. Methods A cross-sectional design with convenience sampling approach was used. A total of 157 emergency nurses from governmental and public hospitals were participated in the study and completed the study's survey: Hospital Survey on Patient Safety Culture (PSC), Copenhagen Burnout Inventory–Student Survey (CBI–SS), NASA Task Load Index (NASA-TLX), Nursing Workplace Satisfaction Questionnaire (NWSQ) and turnover intention scale (TIS). Results The results showed that there was a negative relationship found between nurses’ age and PSC perception (r = −.166, P = .039), personal burnout and PSC (r = −.160, P = .048), and there was also a negative relationship between turnover intentions and perceived PSC (r = −.334, P = .000). The results from the regression model indicated that turnover intentions, reporting patient safety events, and the number of events reported predicted PSC. The results showed that R2 = .29, adjusted R2 = .287, F(6,141) = 9.45, P Conclusion Our results suggests that nurses’ managers may pay attention to decreasing burnout and analyze turnover intention among nurses in order to improve the culture of patient safety.

Background Population-based patient reported outcome data in oesophageal cancer are rare. The main purpose of this study was to describe health-related quality of life (HRQOL) 1 year after the diagnosis of oesophageal cancer, comparing subgroups of curatively and palliatively managed patients. Methods This is a nationwide population-based cohort study, based on the Swedish National Registry for Oesophageal and Gastric Cancer (NREV) with prospectively registered data, including HRQOL instruments from the European Organisation for Research and Treatment of Cancer including the core and disease specific questionnaires (EORTC QLQ-C30 and QLQ-OG25). Patients diagnosed with oesophageal cancer between 2009 and 2016 and with complete HRQOL data at 1 year follow-up were included. HRQOL of included patients was compared to a reference population matched by age and gender to to a previous cohort of unselected Swedish oesophageal cancer patients. Linear regression was performed to calculate mean scores with 95% confidence intervals (CI) and adjusted linear regression analysis was used to calculate mean score differences (MD) with 95% CI. Results A total of 1156 patients were included. Functions and global health/quality of life were lower in both the curative and palliative cohorts compared to the reference population. Both curatively and palliatively managed patients reported a severe symptom burden compared to the reference population. Patients who underwent surgery reported more problems with diarrhoea compared to those treated with definitive chemoradiotherapy (dCRT) (MD -14; 95% CI − 20 to − 8). Dysphagia was more common in patiens treated with dCRT compared to surgically treated patients (MD 11; 95% CI 4 to 18). Those with palliative intent due to advanced tumour stage reported more problems with dysphagia compared to those with palliative intent due to frailty (MD -18; 95% CI − 33 to − 3). Conclusions One year after diagnosis both curative and palliative intent patients reported low function scores and severe symptoms. Dysphagia, choking, and other eating related problems were more pronounced in palliatively managed patients and in the curative intent patients treated with dCRT.

Background In several reports, gastric cancer nomograms for predicting overall or disease‐specific survival have been described. The American Joint Committee on Cancer (AJCC) introduced the attractiveness of disease‐specific mortality (DSM) as an endpoint of risk model. This study aimed to develop the first pretreatment gastric cancer nomogram for predicting DSM that considers competing risks (CRs). Methods The prediction model was developed using data for 5231 gastric cancer patients. Fifteen prognosticators, which were registered at diagnosis, were evaluated. The nomogram for DSM was created as visualizations of the multivariable Fine and Gray regression model. An independent cohort for external validation consisted of 389 gastric cancer patients from a different institution. The performance of the model was assessed by discrimination (Harrell's concordance (C)‐index), calibration, and decision curve analysis. DSM and CRs were evaluated, paying special attention to host‐related factors such as age and Eastern Cooperative Oncology Group performance status (ECOG PS), by using Gray's univariable method. Results Fourteen prognostic factors were selected to develop the nomogram. The new nomogram for DSM exhibited good discrimination. Its C‐index of 0.887 surpassed that of the American Joint Committee on Cancer (AJCC) clinical staging (0.794). The C‐index was 0.713 (AJCC, 0.582) for the external validation cohort. The nomogram showed good performance internally and externally, in the calibration and decision curve analysis. Host‐related factors including age and ECOG PS, were strongly correlated with competing risks. Conclusions The newly developed nomogram accurately predicts DSM, which can be used for patient counseling in clinical practice., The newly developed gastric cancer nomogram for disease‐specific mortality accurately predicts treatment outcomes and thereby improve risk stratification and patient selection for routine clinical decision‐making and future clinical trials. This model will improve on the traditional categorical AJCC system in the future.