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BACKGROUND: Several reports demonstrated that perinatal SARS-CoV-2 has significant impact on maternal and neonatal health outcomes. However, the relationship between severity of maternal illness with outcomes remains less clear. METHODS: This is a single-center retrospective cohort study of mother/infant dyads with positive maternal test for SARS-CoV-2 between 14 days prior and 3 days after delivery from 3/30/2020 to 12/28/2021. RESULTS: Among 538 mothers, those with moderate/severe/critical illness were more likely to undergo induction, receive oxygen, mechanical ventilation or ECMO. Mortality was significantly higher among the mothers with severe illness than asymptomatic and those with mild illness (6% vs 0% and 0%, respectively, P < 0.05). Neonates born to mothers with moderate/severe/critical illness were more likely to be preterm with lower birth weight, and to be admitted to the NICU (P < 0.05) but not to be small for gestational age. Mild maternal illness was only associated with NICU admission for isolation precaution and decreased rate of breastfeeding. CONCLUSIONS: Maternal illness severity was significantly associated with prematurity and several adverse maternal and neonatal outcomes. [ABSTRACT FROM AUTHOR]

To explore the usefulness of neutrophil-to-lymphocyte count ratio (NLR), procalcitonin (PCT), and interleukin-6 (IL-6) for the severity assessment of bacterial sepsis.

BACKGROUND: Claims-based measures of multimorbidity, which evaluate the presence of a defined list of diseases, are limited in their ability to predict future outcomes. We evaluated whether claims-based markers of disease severity could improve assessments of multimorbid burden. METHODS: We developed 7 dichotomous markers of disease severity which could be applied to a range of diseases using claims data. These markers were based on the number of disease-associated outpatient visits, emergency department visits, and hospitalizations made by an individual over a defined interval; whether an individual with a given disease had outpatient visits to a specialist who typically treats that disease; and ICD-9 codes which connote more versus less advanced or symptomatic manifestations of a disease. Using Medicare claims linked with Health and Retirement Study data, we tested whether including these markers improved ability to predict ADL decline, IADL decline, hospitalization, and death compared to equivalent models which only included the presence or absence of diseases. RESULTS: Of 5012 subjects, median age was 76 years and 58% were female. For a majority of diseases tested individually, adding each of the 7 severity markers yielded minimal increase in c-statistic (≤0.002) for outcomes of ADL decline and mortality compared to models considering only the presence versus absence of disease. Gains in predictive power were more substantial for a small number of individual diseases. Inclusion of the most promising marker in multi-disease multimorbidity indices yielded minimal gains in c-statistics (

Objective: The retina is a protrusion of the brain, so researchers have recently proposed retinal changes as a new marker for studying central nervous system diseases. To investigate optic nerve head neurovascular structure assessed by optical coherence tomography angiography (OCTA) in schizophrenia compared to healthy subjects. Methods: The study was conducted from 2019 to 2021 at the Ibn Sina Psychiatric Hospital in Mashhad, Iran. We enrolled 22 hospitalized known cases of schizophrenia, treated with risperidone as an antipsychotic drug, and 22 healthy subjects. The two groups were matched in age and gender. In the schizophrenic group, the positive and negative syndrome scale test was used to assess the illness severity. All subjects underwent complete ophthalmic evaluations and OCTA imaging. Results: We found that the cup/disc area ratio, vertical cup/disc ratio, and horizontal cup/disc ratio are significantly higher in patients with schizophrenia than in healthy subjects (with p‐values of 0.019, 0.015, and 0.022, respectively). No statistically significant difference in the peripapillary retinal nerve fiber layer and vascular parameters of the optic nerve head was observed between schizophrenia and healthy groups. Conclusion: We found evidence regarding the difference in the optic nerve head tomographic properties in schizophrenia compared to healthy subjects. However, ONH vascular parameters showed no significant difference. More studies are needed for a definite conclusion. [ABSTRACT FROM AUTHOR]

Objective: The renin-angiotensin-aldosterone system (RAS) plays an important role in the pathophysiology of COVID-19. The role of the angiotensin-converting enzyme (ACE), which is part of RAS, in COVID-19 is unclear. The study aimed to investigate whether there was a relationship between serum ACE level at admission and disease severity in COVID-19. Methods: A total of 158 patients hospitalized in our clinic between January 2021 and April 2021 due to COVID-19 pneumonia were included in this study. Patients were divided into two groups: mild-moderate and severe pneumonia, according to the severity of the disease. The two groups were compared in terms of age, gender, symptoms and signs, comorbidities, laboratory parameters, serum ACE level, and mortality. Serum ACE level was measured by a spectrophotometric method. Results: The mean age of the patients was 61 years (min: 18, max: 89), and 85 (53.5%) were male. The most common symptoms were dyspnea (61%), cough (57.2%), and malaise (49.7%). The number of leukocytes, C-reactive protein, ferritin, D-Dimer, and days of hospitalization were higher in the severe pneumonia group compared to the mild-moderate pneumonia group, and the difference was statistically significant (p=0.004, p<0.001, p=0.005, p=0.01, p<0.001, respectively). The rates of intensive care unit admission, intubation, and mortality were higher in the severe pneumonia group (p=0.035, p=0.035, p=0.035, respectively). The mean serum ACE level of the patients was 25.14 (min: 3.39, max: 75.28) U/L; no significant difference was found between the groups (p=0.61). Conclusion: No correlation was found between serum ACE levels at the time of hospitalization and COVID-19 severity. Serum ACE levels at admission did not reflect disease severity [ABSTRACT FROM AUTHOR]

Aim: To determine whether ferritin levels among elderly patients inflicted with Covid-19 are superior to several types of disease severity indicators. Methods: A retrospective and cross-sectional analysis was conducted on patients who were admitted to the emergency department of Ordu University Training and Research Hospital between September 2020 and January 2021, with a suspected or confirmed diagnosis of Covid-19. Patients had to be 18 years of age or older and have a glomerular filtration rate greater than 30 ml/min/1.73 m2 in order to meet the basic inclusion criteria. In addition, the data pertaining to the patients' chronic diseases, mortality status, hemogram, blood gas, ferritin, c-reactive protein, and vital signs were recorded alongside the information regarding the tests and examinations conducted for the diagnosis of Covid-19. The data set is divided into two parts: <65 years ≥65 years. Results: Four hundred sixteen patients were identified as meeting the criteria for the study. Out of the total number of patients, 321 were under the age of 65, while 95 were 65 years of age or older. The under-65 group's mean age was 42.50±12.73 while the older group was 77.89±7.34 years. The mean ferritin of patients 65 and older (249.59±261.45 ng/mL) was significantly more than the patients under 65 (169.76±210.44 ng/mL) (p=0.001). Only mortality differed between older and younger patients (p=0.049). The AUC value of ferritin in older patients was 0.700 (95% CI, 0.482-0.919), and the cut-off value was 231.55 ng/mL in the mortal group (sensitivity=66.7%, specificity=67.4%). Only ferritin levels were significant in older patients' AUC scores of mortality stats among the other biomedical markers. Conclusions: Some well-known severe disease blood markers, including c-reactive protein, are not as significant as ferritin in older patient mortality ROC curve analyses. Ferritin may be the strongest mortality predictor in older Covid-19 patients. [ABSTRACT FROM AUTHOR]

Abstract Objective The retina is a protrusion of the brain, so researchers have recently proposed retinal changes as a new marker for studying central nervous system diseases. To investigate optic nerve head neurovascular structure assessed by optical coherence tomography angiography (OCTA) in schizophrenia compared to healthy subjects. Methods The study was conducted from 2019 to 2021 at the Ibn Sina Psychiatric Hospital in Mashhad, Iran. We enrolled 22 hospitalized known cases of schizophrenia, treated with risperidone as an antipsychotic drug, and 22 healthy subjects. The two groups were matched in age and gender. In the schizophrenic group, the positive and negative syndrome scale test was used to assess the illness severity. All subjects underwent complete ophthalmic evaluations and OCTA imaging. Results We found that the cup/disc area ratio, vertical cup/disc ratio, and horizontal cup/disc ratio are significantly higher in patients with schizophrenia than in healthy subjects (with p‐values of 0.019, 0.015, and 0.022, respectively). No statistically significant difference in the peripapillary retinal nerve fiber layer and vascular parameters of the optic nerve head was observed between schizophrenia and healthy groups. Conclusion We found evidence regarding the difference in the optic nerve head tomographic properties in schizophrenia compared to healthy subjects. However, ONH vascular parameters showed no significant difference. More studies are needed for a definite conclusion.

Background: Patients with bipolar disorder (BD) and comorbid personality disorder (PD) have a less favorable illness course than those without comorbidity. They are more difficult to stabilize and make more use of mental health care. This may also be true for PD traits that do not meet criteria for a specific PD. The aim of this study is to investigate whether a simple self-screening instrument (PDQ-4+) can provide an indication of expected severity and course of BD. Methods: Patients completed the PDQ-4+ and the treating clinician independently assessed retrospectively over the past 12 months the course of BD (number of depressive and (hypo)manic episodes, number and duration of hospitalizations, and suicide attempts) and the overall severity of illness using the Clinical Global Impression scale for BP (CGI-BP). Mann-Whitney U tests were used for group comparisons. Spearman rho was used to evaluate associations between the prevalence of PD traits and course of BD. Results: The prevalence of a positive PD screening in the sample with BD was 57.5 %. Patients who screened positive on specific PD were on average rated as more severely ill. More importantly, the total number of all dysfunctional personality traits was associated with less favorable course of BD and had a higher validity than any individual PDs. A limitation of our study is the small sample size and retrospective assessment of BD course. Conclusion: Screening with PDQ-4+ helps to identify a group at risk for a more severe illness course of BD. More important than meeting formal criteria for any PD are the accumulation of dysfunctional personality traits in patients with BD.

Schizophrenia and comorbid substance use disorders (SUDs) are associated with poor treatment outcomes but differences between the associations of different SUDs with clinical outcomes are poorly characterized. This study examines the associations of comorbid SUDs with clinical outcomes in schizophrenia using a largescale electronic health record (EHR) database. Real-world data (RWD) analysis using the NeuroBlu database; de-identified EHR data were analysed. Multivariable logistic regression, Poisson and CoxPH models were used to compare the associations of specific comorbid SUDs with outcome variables. Comorbid SUD was significantly different on all outcome measures compared to no SUD (U = 1.44e7–1.81e7, all p s <.001), except number of unique antipsychotics (U = 1.61e7, p =.43). Cannabis (OR = 1.58, p <.001) and polysubstance (OR = 1.22, p =.007) use disorders were associated with greater CGI-S. Cannabis (IRR = 1.13, p =.003) and polysubstance (IRR = 1.08, p =.003) use disorders were associated with greater number of unique antipsychotics prescribed, while cocaine (HR = 1.87, p <.001), stimulants (HR = 1.64, p =.024), and polysubstance (HR = 1.46, p <.001) use disorders were associated with a shorter time to antipsychotic discontinuation. Conversely, alcohol use (IRR = 0.83, p <.001), cocaine use (IRR = 0.61, p <.001), opioid use (IRR = 0.61, p <.001), stimulant use (IRR = 0.57, p <.001) and polysubstance use (IRR = 0.87, p <.001) disorders were associated fewer inpatient days. Comorbid SUDs were generally associated with greater CGI-S and poorer clinical outcomes in patients with schizophrenia. Treatment strategies should target not only schizophrenia symptoms but also comorbid SUD to improve management of both conditions. [ABSTRACT FROM AUTHOR]

The present study examined the relations between clinical characteristics and cognitive deficits in adult patients with major depressive disorder (MDD) from a local outpatient psychiatric clinic in Malaysia. The present sample included 110 participants aged 20–60 years old. Participants were invited to provide their information on sociodemographic variables (age, gender, and educational level) and clinical characteristics (age at onset of depression and duration of illness) and to complete a series of cognitive performance measures including the Trail Making Tests A (psychomotor speed) and B (executive function), the Digit Symbol Substitution Test (attention), and the Auditory Verbal Learning Test (immediate free recall, acquisition phase, and delayed recall). The Mini International Neuropsychiatric Interview Version 6.0 was used to confirm the diagnosis of MDD and the Montgomery–Åsberg Depression Rating Scale was used to assess illness severity. At the bivariate level, relations of age and educational level to all cognitive deficit domains were significant. At the multivariate level, only educational level and illness severity consistently and significantly predicted all cognitive deficits domains. Therapeutic modalities should be individualised whilst considering the impacts of cognitive deficits in an attempt to prevent further deterioration in psychosocial functioning of MDD patients. Cognitive deficits are an elemental component of Major Depressive Disorder (MDD) persisting during a current major depressive episode or during remission, altering individuals' ability to process information and changes the way they perceive and interact with the environment. Cognitive deficits in MDD are evident among the upper-middle income groups in South-Eastern Asian countries warranting more local research as such deficits could lead to functional decline and work performance such as absenteeism and presenteeism. Therapeutic modalities should be individualised by taking the impacts of cognitive deficits into consideration to promote psychosocial functioning of MDD patients. [ABSTRACT FROM AUTHOR]

Abstract Objectives We sought to develop an evidence‐based tool to risk stratify patients diagnosed with seasonal influenza in the emergency department (ED). Methods We performed a single‐center retrospective cohort study of all adult patients diagnosed with influenza in a large tertiary care ED between 2008 and 2018. We evaluated demographics, triage vital signs, chest x‐ray and laboratory results obtained in the ED. We used univariate and multivariate statistics to examine the composite primary outcome of death or need for intubation. We validated our findings in patients diagnosed between 2018 and 2020. Results We collected data from 3128 subjects; 2196 in the derivation cohort and 932 in the validation cohort. Medical comorbidities, multifocal opacities or pleural effusion on chest radiography, older age, elevated respiratory rate, hypoxia, elevated blood urea nitrogen, blood glucose, blood lactate, and red blood cell distribution width were factors associated with intubation or death. We developed the Predicting Intubation in seasonal Influenza Patients diagnosed in the ED (PIIPED) risk‐stratification tool from these factors. The PIIPED tool predicted intubation or death with an area under the receiver operating characteristic curve (AUC) of 0.899 in the derivation cohort and 0.895 in the validation cohort. A version of the tool including only factors available at ED triage, before laboratory or radiographic evaluation, exhibited AUC of 0.852 in the derivation cohort and 0.823 in the validation cohort. Conclusion Clinical findings during an ED visit predict severe outcomes in patients with seasonal influenza. The PIIPED risk stratification tool shows promise but requires prospective validation.

Background: Little is known whether women's knowledge of perceived severity of illness and sociodemographic characteristics of women influence healthcare seeking behavior for maternal health services in Afghanistan. The aim of this study was to address this knowledge gap. Methods: Data were used from the Afghanistan Health Survey 2018. Women's knowledge in terms of danger signs or symptoms during pregnancy was assessed. The signs or symptoms were bleeding, swelling of the body, headache, fever, or any other danger sign or symptom (e.g., high blood pressure). A categorical variable of knowledge score was created. The outcome variables were defined as ≥ 4 ANC vs. 0–3 ANC; ≥ 4 PNC vs. 0–3 PNC visits; institutional vs. non-institutional deliveries. A multivariable generalized linear model (GLM) was used. Results: Data were used from 9,190 ever-married women, aged 13–49 years, who gave birth in the past two years. It was found that 56%, 22% and 2% of women sought healthcare for institutional delivery, ≥ 4 ANC, ≥ 4 PNC visits, respectively, and that women's knowledge is a strong predictor of healthcare seeking [odds ratio (OR)1.77(1.54–2.05), 2.28(1.99–2.61), and 2.78 (2.34–3.32) on knowledge of 1, 2, and 3–5 signs or symptoms, respectively, in women with ≥ 4 ANC visits when compared with women who knew none of the signs or symptoms. In women with ≥ 4 PNC visits, it was 1.80(1.12–2.90), 2.22(1.42–3.48), and 3.33(2.00–5.54), respectively. In women with institutional deliveries, it was 1.49(1.32–1.68), 2.02(1.78–2.28), and 2.34(1.95–2.79), respectively. Other strong predictors were women's education level, multiparity, residential areas (urban vs. rural), socioeconomic status, access to mass media (radio, TV, the internet), access of women to health workers for birth, and decision-making for women where to deliver. However, age of women was not a strong predictor. Conclusion: Our findings suggest that pregnant women's healthcare seeking behaviour is influenced by women's knowledge of danger signs and symptoms during pregnancy, women's education, socioeconomic status, access to media, husband's, in-laws' and relatives' decisions, residential area, multiparity, and access to health workers. The findings have implications for promoting safe motherhood and childbirth practices through improving women's knowledge, education, and social status. [ABSTRACT FROM AUTHOR]

Illness severity is a major determinant of neonatal mortality. In neonatal intensive care, severity-of-illness scales, primarily relied on subjective judgment by experienced physicians, are used to assess the mortality risk prediction and therapeutic intensity. Because cardiovascular morbidity and other disease state may contribute to hemodynamic abnormalities, the illness severity may reflect on the state of hemodynamic abnormalities. Several diagnostic approaches, such as laser Doppler flowmetry and orthogonal polarization spectral, have been developed to evaluate the local information of blood flow or vascular distribution on skin surface, but they may not efficiently evaluate the systemic circulation. In this study, an intelligent systemic circulation monitoring system was proposed to non-invasively evaluate the blood perfusion state and further estimate the illness severity. In the proposed system, a wireless sensing device was designed to real-time monitor the changes of hemoglobin parameters under the altered external pressure, and several indexes were defined from the hemodynamic response to present the blood perfusion state. The relationship between the blood perfusion state and the illness severity was also investigated in this study. Moreover, the technique of neural network was also applied in the classification of illness severity. The experimental results indicate the differences between many defined blood perfusion indexes in neonates with different illness severity were exactly significant and the mild and severe illness severity group could also be efficiently recognized by the neural network technique. Therefore, the proposed system may contain the potential of future clinical applications in the evaluation of illness severity or other diseases.

Abstract Objectives This study aimed to determine the levels of IgM and IgG antibody response to the severe acute respiratory syndrome coronavirus (SARS-CoV)-2 in coronavirus disease 2019 (COVID-19) patients with different disease severity. Methods IgM and IgG antibody levels were evaluated via enzyme-linked immunosorbent assay (ELISA). In total, 100 patients with confirmed SARS-CoV-2 infection were enrolled in this study and viral RNA was detected by using Real-time PCR technique. Clinical and laboratory data were collected and analyzed after hospital admission for COVID-19 and two months post-admission. Results The level of anti-SARS-CoV-2 antibody IgG was significantly higher in the severe patients than those in moderate and mild groups, 2 months after admission. Also, level of IgG was positively associated with increased WBC, NUT and LYM counts in sever than mild or moderate groups after admission to hospital. Conclusion Our findings suggested that patients with severe illness might experience longer virus exposure times and have a stronger antibody response against viral infection. Thus, they have longer time immunity compared with other groups.

Bipolar disorder is a severe psychiatric syndrome defined by periodic mood shifts. Patients with bipolar disorder show cognitive impairments relative to healthy controls. The risk of developing schizophrenia, and partially also bipolar disorder, has previously been shown to increase with lower premorbid intelligence. It is not known if premorbid intelligence is associated with level of functioning and illness severity of people having developed bipolar disorder. We used multiple linear and ordinal regression to analyze how premorbid intelligence, as measured at conscription, associate with functional outcome and illness severity in Swedish male bipolar disorder patients (n = 788). We found that lower premorbid intelligence is associated with lower percentage of time in work, after adjusting for age and bipolar subtype, and correcting for multiple comparisons. We also found a strong negative association with the total number of inpatient episodes and psychiatric comorbidity, but not with interepisodic remission, treatment with psychotherapy or lithium or the presence of any complicating socioeconomical factors. Adjusting for confounding genetic factors using polygenic risk scores for bipolar disorder and schizophrenia had no effect on the associations. This study lacks females and controls and may thus have lower generalizability. In conclusion, premorbid intelligence is associated with both level of functioning and illness severity as well as comorbidity in bipolar disorder patients. Further research is needed to develop targeted interventions for this subgroup of bipolar disorder patients. • We analyzed 788 carefully phenotyped BD patients, including genetic risk scores. • Premorbid IQ was negatively associated with disease severity and comorbidity. • However, premorbid IQ was positively associated with level of functioning. • The results were not influenced by polygenic risk scores for BD or SCZ. [ABSTRACT FROM AUTHOR]

Abstract Background The COVID-19 pandemic has become the world’s main life-threatening challenge in the third decade of the twenty-first century. Numerous studies have been conducted on SARS-CoV2 virus structure and pathogenesis to find reliable treatments and vaccines. The present study aimed to evaluate the immune-phenotype and IFN-I signaling pathways of COVID-19 patients with mild and severe conditions. Material and methods A total of 100 COVID-19 patients (50 with mild and 50 with severe conditions) were enrolled in this study. The frequency of CD4 + T, CD8 + T, Th17, Treg, and B lymphocytes beside NK cells was evaluated using flow cytometry. IFN-I downstream signaling molecules, including JAK-1, TYK-2, STAT-1, and STAT-2, and Interferon regulatory factors (IRF) 3 and 7 expressions at RNA and protein status were investigated using real-time PCR and western blotting techniques, respectively. Immune levels of cytokines (e.g., IL-1β, IL-6, IL-17, TNF-α, IL-2R, IL-10, IFN-α, and IFN-β) and the existence of anti-IFN-α autoantibodies were evaluated via enzyme-linked immunosorbent assay (ELISA). Results Immune-phenotyping results showed a significant decrease in the absolute count of NK cells, CD4 + T, CD8 + T, and B lymphocytes in COVID-19 patients. The frequency of Th17 and Treg cells showed a remarkable increase and decrease, respectively. All signaling molecules of the IFN-I downstream pathway and IRFs (i.e., JAK-1, TYK-2, STAT-1, STAT-2, IRF-3, and IRF-7) showed very reduced expression levels in COVID-19 patients with the severe condition compared to healthy individuals at both RNA and protein levels. Of 50 patients with severe conditions, 14 had anti-IFN-α autoantibodies in sera. Meanwhile, this result was 2 and 0 for patients with mild symptoms and healthy controls, respectively. Conclusion Our results indicate a positive association of the existence of anti-IFN-α autoantibodies and immune cells dysregulation with the severity of illness in COVID-19 patients. However, comprehensive studies are necessary to find out more about this context. Video abstract

Objectives: This study aimed to determine the levels of IgM and IgG antibody response to the severe acute respiratory syndrome coronavirus (SARS-CoV)-2 in coronavirus disease 2019 (COVID-19) patients with different disease severity. Methods: IgM and IgG antibody levels were evaluated via enzyme-linked immunosorbent assay (ELISA). In total, 100 patients with confirmed SARS-CoV-2 infection were enrolled in this study and viral RNA was detected by using Real-time PCR technique. Clinical and laboratory data were collected and analyzed after hospital admission for COVID-19 and two months post-admission. Results: The level of anti-SARS-CoV-2 antibody IgG was significantly higher in the severe patients than those in moderate and mild groups, 2 months after admission. Also, level of IgG was positively associated with increased WBC, NUT and LYM counts in sever than mild or moderate groups after admission to hospital. Conclusion: Our findings suggested that patients with severe illness might experience longer virus exposure times and have a stronger antibody response against viral infection. Thus, they have longer time immunity compared with other groups. [ABSTRACT FROM AUTHOR]

Rationale: Women have worse outcomes than men in several conditions more common in men, including cardiac surgery and burns. Objectives: To describe the relationship between sex balance within each diagnostic group of ICU admissions, defined as the percentage of patients who were women, and hospital mortality of women compared with men with that same diagnosis. Methods: We studied ICU patients in the Australian and New Zealand Intensive Care Society's Adult Patient Database (2011-2020). We performed mixed effects logistic regression for hospital mortality adjusted for sex, illness severity, ICU lead time, admission year, and hospital site. We compared sex balance with the adjusted hospital mortality of women compared with men for each diagnosis using weighted linear regression. Measurements and Main Results: There were 1,450,782 admissions (42.1% women), with no difference in the adjusted hospital mortality of women compared with men overall (odds ratio, 0.99; 99% confidence interval [CI], 0.97 to 1). As the percentage of women within each diagnosis increased, the adjusted mortality of women compared with men with that same diagnosis decreased (regression coefficient, -0.015; 99% CI; -0.020 to -0.011; P < 0.001), and the illness severity of women compared with men at ICU admission decreased (regression coefficient, -0.0026; 99% CI, -0.0035 to -0.0018; P < 0.001). Conclusions: Sex balance in diagnostic groups was inversely associated with both the adjusted mortality and illness severity of women compared with men. In diagnoses with relatively few women, women were more likely than men to die. In diagnoses with fewer men, men were more likely than women to die. [ABSTRACT FROM AUTHOR]

Abstract Background After-hours house call (AHHC) medical services have been implemented in Japan to reduce ambulance use, as well as overcrowding at the emergency department (ED). Examining the pre-and post-home visit behaviors of those using AHHC medical services will provide insights into the usefulness of these services and help develop strategies to reduce ED visits and ambulance use further. Methods This questionnaire-based study used data from anonymized medical records and internet-based questionnaires completed by patients who used AHHC medical services in Tokyo, Japan, between January 1 and December 31, 2019. The questionnaire comprised two questions: (1) What action would the patient have taken in the absence of AHHC services and (2) what action was taken within 3 days following the use of the AHHC services. In addition, following home consultations, AHHC doctors classified the patient’s illness severity as mild (treatable with over-the-counter medications), moderate (requires hospital or clinic visit), or severe (requires ambulance transportation). Results Of the 15,787 patients who used AHHC medical services during the study period, 2128 completed the questionnaire (13.5% response rate). Individuals aged ≤15 years and 16–64 years were the most common users of AHHC services (≤15 years, 71.4%; 16–64 years, 26.8%). Before using the AHHC service, 46.4% of the total respondents reported that they would have visited an ED had AHHC services not been available (≤15 years, 47.8%; 16–64 years, 42.8%; ≥65 years, 43.6%). The proportion of patients originally planning to call an ambulance was higher among those in the older age groups (≤15 years, 1.1%; 16–64 years, 6.0%; ≥65 years, 20.5%). After using the AHHC services, most patients (68.1%) did not visit a hospital within 3 days; however, the proportion of patients who visited an ED and called an ambulance within 3 days increased with the severity of illness. Conclusions Increasing AHHC medical services awareness among older adults and patients assessed as having severe illnesses regularly availing of AHHC services may help reduce ED visits and ambulance use.

Objectives: Sexual dysfunction has wide‐ranging impacts on the person's functioning and quality of life, being associated with higher severity of psychiatric illnesses and poor therapeutic response. Given the paucity of data on this topic in bipolar disorder (BD), we investigated sexual functioning among males and females with BD and healthy controls (HCs) as well as whether illness severity markers and subthreshold mood symptoms were associated with sexual dysfunctions in BD patients. Methods: The study included 80 BD outpatients and 70 HCs. Sexual functioning was evaluated using the validated, gender‐specific Changes in Sexual Functioning Questionnaire (CSFQ‐14). Results: BD patients had a significantly poorer sexual functioning than HCs (p < 0.00001). The odds of sexual dysfunction doubled given a one‐unit increase in the number of suicide attempts (adjusted OR = 2.01, 95% CI:1.23–3.55; p < 0.01) and increased by 60% for every additional hospitalization (p < 0.05). Greater illness duration was associated with arousal/orgasmic (p < 0.05) and overall sexual dysfunctions (p < 0.01). BD patients with more mixed or (hypo)manic episodes had a lower likelihood of libido loss and arousal/orgasmic disturbances (p < 0.01), respectively. Higher levels of subthreshold depressive symptoms increased by 20% the odds of sexual interest/frequency dysfunctions (p < 0.05), and up to 60% regarding orgasmic disturbances (p < 0.01). Conclusions: Sexual functioning may be a useful proxy of illness severity as well as a relevant dimension to more deeply characterize BD patients. Further studies are warranted to replicate our findings, to evaluate temporal associations between sexual dysfunctions and illness severity across the BD mood and treatment spectrums and to explore neurobiological underpinnings of these associations. [ABSTRACT FROM AUTHOR]

Abstract Background and purpose Fatty liver is one of the most common pre-existing illnesses; it can cause liver injury, leading to further complications in coronavirus disease 2019 patients. Our goal is to determine if pre-existing fatty liver is more prevalent in hospitalized COVID-19 patients compared to patients admitted before the SARS-CoV-2 pandemic and determine the disease severity among fatty liver patients. Experimental approach This retrospective study involves a case and a control group consisting of 1162 patients; the case group contains hospitalized COVID-19 patients with positive PCR tests and available chest CT-scan; the control group contains patients with available chest CT-scan previous to the COVID-19 pandemic. Patients’ data such as liver Hounsfield unit, hospitalization length, number of affected lobes, and total lungs involvement score were extracted and compared between the patients. Results The findings indicate that 37.9% of hospitalized COVID-19 patients have a pre-existing fatty liver, which is significantly higher (P

The estimation of biological age (BA) is an important asymptomatic measure that can be used to understand the physical changes and the aging process of a living being. Factors that contribute towards profiling the human biological age can be diverse. Therefore, this study focuses on developing a BA model for patients with Chronic Kidney Disease (CKD). The procedure commences with the selection of significant biomarkers using a correlation test. Appropriate weighting is then assigned to each selected biomarker using the indexing method to produce a BA index. The BA index is matched to the age variation within the sample to acquire additional terms for the chronological age leading ultimately to the estimated BA. From a sample of 190 patients (133 trained data and 57 testing data) obtained from the University of Malaya Medical Centre (UMMC), Malaysia, the intensity of the BA is found to be between three to nine years from the chronological age. Visual observations further validate the high similarities between the training and testing data sets. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic has become the world's main life-threatening challenge in the third decade of the twenty-first century. Numerous studies have been conducted on SARS-CoV2 virus structure and pathogenesis to find reliable treatments and vaccines. The present study aimed to evaluate the immune-phenotype and IFN-I signaling pathways of COVID-19 patients with mild and severe conditions. Material and methods: A total of 100 COVID-19 patients (50 with mild and 50 with severe conditions) were enrolled in this study. The frequency of CD4 + T, CD8 + T, Th17, Treg, and B lymphocytes beside NK cells was evaluated using flow cytometry. IFN-I downstream signaling molecules, including JAK-1, TYK-2, STAT-1, and STAT-2, and Interferon regulatory factors (IRF) 3 and 7 expressions at RNA and protein status were investigated using real-time PCR and western blotting techniques, respectively. Immune levels of cytokines (e.g., IL-1β, IL-6, IL-17, TNF-α, IL-2R, IL-10, IFN-α, and IFN-β) and the existence of anti-IFN-α autoantibodies were evaluated via enzyme-linked immunosorbent assay (ELISA). Results: Immune-phenotyping results showed a significant decrease in the absolute count of NK cells, CD4 + T, CD8 + T, and B lymphocytes in COVID-19 patients. The frequency of Th17 and Treg cells showed a remarkable increase and decrease, respectively. All signaling molecules of the IFN-I downstream pathway and IRFs (i.e., JAK-1, TYK-2, STAT-1, STAT-2, IRF-3, and IRF-7) showed very reduced expression levels in COVID-19 patients with the severe condition compared to healthy individuals at both RNA and protein levels. Of 50 patients with severe conditions, 14 had anti-IFN-α autoantibodies in sera. Meanwhile, this result was 2 and 0 for patients with mild symptoms and healthy controls, respectively. Conclusion: Our results indicate a positive association of the existence of anti-IFN-α autoantibodies and immune cells dysregulation with the severity of illness in COVID-19 patients. However, comprehensive studies are necessary to find out more about this context. 5mo_nwLJpK7s-uZity9h4- Video abstract [ABSTRACT FROM AUTHOR]

The estimation of biological age (BA) is an important asymptomatic measure that can be used to understand the physical changes and the aging process of a living being. Factors that contribute towards profiling the human biological age can be diverse. Therefore, this study focuses on developing a BA model for patients with Chronic Kidney Disease (CKD). The procedure commences with the selection of significant biomarkers using a correlation test. Appropriate weighting is then assigned to each selected biomarker using the indexing method to produce a BA index. The BA index is matched to the age variation within the sample to acquire additional terms for the chronological age leading ultimately to the estimated BA. From a sample of 190 patients (133 trained data and 57 testing data) obtained from the University of Malaya Medical Centre (UMMC), Malaysia, the intensity of the BA is found to be between three to nine years from the chronological age. Visual observations further validate the high similarities between the training and testing data sets.

Introduction: The neonatal sequential organ failure assessment (nSOFA) score is a tool for calculating mortality risk of infants in the neonatal intensive care unit. The utility of the nSOFA in determining the risk of mortality or the association with surgical intervention among infants with necrotizing enterocolitis (NEC) has not been investigated. Methods: We performed a retrospective, cohort study of preterm (<37 weeks) infants with NEC Bell's stage ≥ IIA at six hospitals from 2008 to 2020. An nSOFA score (range 0–15) was assigned to each patient at nine time points from 48 h before or after clinical illness was suspected. Results: Of the 259 infants, nSOFA scores for infants who died (n = 39) or had the composite outcome of surgery or death (n = 114) were significantly higher (p < 0.05) early in the NEC course compared to nSOFA scores for infants who survived medical NEC. Twelve hours after evaluation, the area under the receiver operating characteristic curve was 0.87 (95% confidence interval [CI], 0.80–0.93) to discriminate for mortality and 0.84 (95% CI, 0.79–0.90) for surgery or death (p < 0.001). A maximum nSOFA score of ≥4 at −6, 0, 6, or 12 h following evaluation was associated with a 20-fold increase in mortality and 19-fold increase in surgery or death compared with a score of <4 (p < 0.001). Conclusion: In this multicenter cohort, the nSOFA score was able to discriminate well for death as well as surgery or death among infants with NEC. The nSOFA is a clinical research tool that may be used in infants with NEC to improve classification by objective quantification of organ dysfunction. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the association between RBC distribution width (RDW) and in‐hospital mortality, length of hospitalization, and leukocyte count in critically ill dogs. Design: Retrospective study. Setting: University teaching hospital. Animals: One hundred and twenty‐seven dogs admitted to the ICU from December 2016 to April 2017. Patients were included if they had a CBC performed within the first 24 h of admission. Interventions: None. Measurements and Main Results: The overall in‐hospital mortality rate was 29% (37/127), and median length of hospital stay was 3 days (interquartile range [IQR], 5). The median RDW value was 13.8% (IQR, 1.6%; reference interval, 11.9%–14.5 %). The canine Acute Patient Physiologic and Laboratory Evaluation (APPLE) fast score was calculated in 81 of 127 (64%) patients; the median score was 24/50 (IQR, 9). There was no significant correlation between RDW and APPLE fast score (P = 0.163). Subgroup analysis was performed according to the following diagnostic categories: abdominal (36%; 46/127), hematological (13%; 16/127), respiratory (13%; 16/127), neurological (12%; 15/127), cardiovascular (11%; 14/127), integument (3%; 4/127), trauma (3%; 4/127), musculoskeletal (2%; 3/127), and others (7%; 9/127). Increased RDW was not associated with in‐hospital mortality overall (P = 0.381) or in any individual subgroup analysis. No association was found between length of hospitalization and RDW values in either survivors (P = 0.548) or nonsurvivors (P = 0.083). The correlation between RDW and leukocyte count was nonsignificant (P = 0.12). Conclusions: In this study, admission RDW was not associated with in‐hospital mortality or length of hospitalization in critically ill dogs. The correlation between RDW and leukocyte count was nonsignificant. [ABSTRACT FROM AUTHOR]

Objective: To determine whether red cell distribution width (RDW) can predict illness severity and mortality risk in a heterogenous population of dogs admitted to the ICU. Design: Prospective observational study. Setting: Large, urban, private teaching hospital. Animals: One hundred eleven dogs consecutively admitted to the ICU between September 2017 and December 2018. Interventions: None. Measurements and Main Results: Abbreviated Acute Patient Physiologic and Laboratory Evaluation (APPLEfast) score and RDW were measured within 6 h of ICU admission. This study did not demonstrate a significant difference in illness severity across patients stratified by RDW. There was no difference in RDW between survivors and nonsurvivors at hospital discharge or at 30 days. Conclusions: In this study population, RDW did not correspond with illness severity as measured by APPLEfast. Moreover, RDW did not predict in‐hospital or 30‐day mortality. [ABSTRACT FROM AUTHOR]

The increase of doctors' activity in online health communities (OHCs) plays a decisive role in their development. Although the literature on the determinants of doctors' online activities has received considerable attention, the impact of illness severity on these factors remains rare. A network externality analytical framework is constructed to explain the factors (that is, responsiveness, involvement, word-of-mouth, incentives, price, titles and gender) affecting online doctors' behavior, and assess whether factors differ by. By developing text analysis of 4916 doctors' data from a Chinese OHC, this paper applies ordinary least squares (OLS) and General Method of Moments (GMM) to analyze whether the determinants are equal across serious, moderate, and mild illnesses. Our experiment results find that the determinants affecting doctors' online service activity substantially differ across illness severity. Experiments prove the effectiveness of the proposed OLS and GMM methods and demonstrate that they are applicable in online medical field.

The first wave of the coronavirus disease 2019 (COVID-19) outbreak in Taiwan occurred in May 2021. The risk for and severity of this disease vary and are highly dependent on personal habits and comorbidities. Moreover, the gut microbiome, which may be affected by diet, is highly susceptible with regard to the risk and severity of infectious diseases such as COVID-19. The relationship between dietary habits, nutritional status, and the effects of these factors on the immune system in the context of a global pandemic is an extremely important topic of immediate concern. Hence, the aim of this study was to explore the effect of vegetarian and non-vegetarian diets on COVID-19 severity during the pandemic. We conducted a retrospective evaluation of 509 patients who had been diagnosed with COVID-19 at a single medical center between May 2021 and August 2021. Patients were divided into three groups according to disease severity. For patients aged ≥65 years, COVID-19 symptom severity was statistically significantly and inversely associated with the adherence to a vegetarian diet (p = 0.013). Moreover, subgroup analysis results showed that older COVID-19 patients and those with a non-vegetarian diet had a higher risk of contracting critically severe COVID-19 [adjusted odds ratio (OR) = 5.434, p = 0.005]. Further research is needed to determine the effects of dietary habits on COVID-19 risk and severity during the global pandemic.

Supplemental Digital Content is available in the text Objective: Develop unifying definitions and paradigms for data-driven methods to augment postoperative resource intensity decisions. Summary Background Data: Postoperative level-of-care assignments and frequency of vital sign and laboratory measurements (ie, resource intensity) should align with patient acuity. Effective, data-driven decision-support platforms could improve value of care for millions of patients annually, but their development is hindered by the lack of salient definitions and paradigms. Methods: Embase, PubMed, and Web of Science were searched for articles describing patient acuity and resource intensity after inpatient surgery. Study quality was assessed using validated tools. Thirty-five studies were included and assimilated according to PRISMA guidelines. Results: Perioperative patient acuity is accurately represented by combinations of demographic, physiologic, and hospital-system variables as input features in models that capture complex, non-linear relationships. Intraoperative physiologic data enriche these representations. Triaging high-acuity patients to low-intensity care is associated with increased risk for mortality; triaging low-acuity patients to intensive care units (ICUs) has low value and imparts harm when other, valid requests for ICU admission are denied due to resource limitations, increasing their risk for unrecognized decompensation and failure-to-rescue. Providing high-intensity care for low-acuity patients may also confer harm through unnecessary testing and subsequent treatment of incidental findings, but there is insufficient evidence to evaluate this hypothesis. Compared with data-driven models, clinicians exhibit volatile performance in predicting complications and making postoperative resource intensity decisions. Conclusion: To optimize value, postoperative resource intensity decisions should align with precise, data-driven patient acuity assessments augmented by models that accurately represent complex, non-linear relationships among risk factors. [ABSTRACT FROM AUTHOR]

Background: After-hours house call (AHHC) medical services have been implemented in Japan to reduce ambulance use, as well as overcrowding at the emergency department (ED). Examining the pre-and post-home visit behaviors of those using AHHC medical services will provide insights into the usefulness of these services and help develop strategies to reduce ED visits and ambulance use further.Methods: This questionnaire-based study used data from anonymized medical records and internet-based questionnaires completed by patients who used AHHC medical services in Tokyo, Japan, between January 1 and December 31, 2019. The questionnaire comprised two questions: (1) What action would the patient have taken in the absence of AHHC services and (2) what action was taken within 3 days following the use of the AHHC services. In addition, following home consultations, AHHC doctors classified the patient's illness severity as mild (treatable with over-the-counter medications), moderate (requires hospital or clinic visit), or severe (requires ambulance transportation).Results: Of the 15,787 patients who used AHHC medical services during the study period, 2128 completed the questionnaire (13.5% response rate). Individuals aged ≤15 years and 16-64 years were the most common users of AHHC services (≤15 years, 71.4%; 16-64 years, 26.8%). Before using the AHHC service, 46.4% of the total respondents reported that they would have visited an ED had AHHC services not been available (≤15 years, 47.8%; 16-64 years, 42.8%; ≥65 years, 43.6%). The proportion of patients originally planning to call an ambulance was higher among those in the older age groups (≤15 years, 1.1%; 16-64 years, 6.0%; ≥65 years, 20.5%). After using the AHHC services, most patients (68.1%) did not visit a hospital within 3 days; however, the proportion of patients who visited an ED and called an ambulance within 3 days increased with the severity of illness.Conclusions: Increasing AHHC medical services awareness among older adults and patients assessed as having severe illnesses regularly availing of AHHC services may help reduce ED visits and ambulance use. [ABSTRACT FROM AUTHOR]

Expanding on recent research on the transmission of COVID-19 via social networks, this article argues that exposure to familial and other close contacts who already have the disease may increase the severity of one's subsequent illness. We hypothesize that having family members or close contacts who were diagnosed with COVID-19 before one's own diagnosis exacerbates illness severity due to several potential mechanisms including changes in available social support access, increased stress and strain, and increased viral load due to the nature of one's exposure to the novel coronavirus. We analyze administrative data of all 417 patients who were diagnosed with COVID-19 in the Chinese city of Shenzhen between January 8 and February 25, 2020. Our analyses show that, when patients had family members or close ties diagnosed with COVID-19, they experienced more severe illness. We also find that patients with infected family members or close contacts did not have significantly extended total illness duration, due to their reduced time to diagnosis. The implications of both findings are discussed. [ABSTRACT FROM AUTHOR]

Abstract Background The Borderline Symptom List (BSL-23) is a well-established self-rating instrument to assess the severity of borderline typical psychopathology. However, a classification of severity levels for the BSL-23 is missing. Methods Data from 1.090 adults were used to develop a severity classification for the Borderline Symptom List (BSL-23). The severity grading was based on the distribution of the BSL-23 in 241 individuals with a diagnosis of BPD. Data from three independent samples were used to validate the previously defined severity grades. These validation samples included a group of treatment seeking patients with a diagnosis of BPD (n = 317), a sample of individuals with mental illnesses other than BPD (n = 176), and a healthy control sample (n = 356). The severity grades were validated from comparisons with established assessment instruments such as the International Personality Disorders Examination, the Structured Clinical Interview for DSM-IV, the global severity index of the Symptom Checklist (GSI, SCL-90), the Global Assessment of Functioning (GAF), and the Beck Depression Inventory (BDI-II). Results Six grades of symptom severity were defined for the BSL-23 mean score: none or low: 0–0.3; mild: 0.3–0.7; moderate: 0.7–1.7; high: 1.7–2.7; very high: 2.7–3.5; and extremely high: 3.5–4. These grades received consistent empirical support from the independent instruments and samples. For instance, individuals with a severity grade of none or low were virtually free from diagnostic BPD-criteria, had a GSI below the normative population, and a high level of global functioning corresponding to few or no symptoms. Severity grades indicating high to extremely high levels of BPD symptoms were observed at a much higher rate in treatment-seeking patients (70.0%) than in clinical controls (17.6%) and healthy controls (0.0%). The BSL-23 score that best separated treatment-seeking BPD patients and clinical controls was 1.50, whereas the clearest discrimination of BPD patients and healthy controls was found at a score of 0.64. Conclusions The grades of BPD-specific symptom severity derived from the distribution of the BSL-23 scores received consistent empirical validation from established assessments for psychopathology. Future studies should expand this validation by including additional instruments e.g., to assess self-esteem, loneliness, connectedness, and quality of life.

Abstract Background Reduced mobility may be responsible for functional decline and acute sarcopenia in older hospitalised patients. The drivers of reduced in-hospital mobility are poorly understood, especially during the early phase of acute hospitalisation. We investigated predictors of in-hospital activity during a 24-h period in the first 48 h of hospital admission in older adults. Methods This was a secondary analysis of a prospective repeated measures cohort study. Participants aged 75 years or older were recruited within the first 24 h of admission. At recruitment, patients underwent a baseline assessment including measurements of pre-morbid functional mobility, cognition, frailty, falls efficacy, co-morbidity, acute illness severity, knee extension strength and grip strength, and consented to wear accelerometers to measure physical activity during the first 7 days (or until discharge if earlier). In-hospital physical activity was defined as the amount of upright time (standing or walking). To examine the predictors of physical activity, we limited the analysis to the first 24 h of recording to maximise the sample size as due to discharge from hospital there was daily attrition. We used a best subset analysis including all baseline measures. The optimal model was defined by having the lowest Bayesian information criterion in the best-subset analyses. The model specified a maximum of 5 covariates and used an exhaustive search. Results Seventy participants were recruited but eight were excluded from the final analysis due to lack of accelerometer data within the first 24 h after recruitment. Patients spent a median of 0.50 h (IQR: 0.21; 1.43) standing or walking. The optimal model selected the following covariates: functional mobility as measured by the de Morton Mobility Index and two measures of illness severity, the National Early Warning Score, and serum C-reactive protein. Conclusions Physical activity, particularly in the acute phase of hospitalisation, is very low in older adults. The association between illness severity and physical activity may be explained by symptoms of acute illness being barriers to activity. Interdisciplinary approaches are required to identify early mobilisation opportunities.

Rosaria Di Lorenzo,1 Giulia Montardi,2 Leda Panza,3 Cinzia Del Giovane,4 Serena Saraceni,2 Sergio Rovesti,5 Paola Ferri6 1Psychiatric Intensive Treatment Facility, Department of Mental Health and Drug Abuse, Az-USL Modena, Modena 41122, Italy; 2School of Specialization in Psychiatry, University of Modena and Reggio Emilia, Modena 41124, Italy; 3School of Nursing, University of Modena and Reggio Emilia, Modena 41124, Italy; 4Head of Statistics and Methodology, Institute of Primary Health Care (BIHAM), Bern, Switzerland; 5General and Applied Hygiene, Department of Biomedical, Metabolic and Neural Sciences, Modena 41125, Italy; 6Nursing, Department of Biomedical, Metabolic and Neural Sciences, Modena 41125, ItalyCorrespondence: Rosaria Di LorenzoPsychiatrist, Psychiatric Intensive Treatment Facility, Az-USL Modena, Modena 41122, ItalyEmail r.dilorenzo@ausl.mo.itPurpose: To evaluate the longest hospitalizations in an acute psychiatric ward [Service of Psychiatric Diagnosis and Treatment (SPDT)] and the related demographic, clinical and organizational variables to understand the factors that contribute to long-stay (LOS) phenomenon. The term “long stay” indicates clinical, social and organizational problems responsible for delayed discharges. In psychiatry, clinical severity, social dysfunction and/or health-care system organization appear relevant factors in prolonging stays.Patients and Methods: We divided all the SPDT hospitalizations from 1 January 2010 to 31 December 2015 into two groups based on the 97.5th percentile of duration: ≤ 36 day (n=3254) and > 36 day (n=81) stays, in order to compare the two groups for the selected variables. Comparisons were made using Pearson’s chi-square for categorical data and t-test for continuous variables, the correlation between the LOS, as a dependent variable, and the selected variables was analyzed in stepwise multiple linear regression and in multiple logistic regression models.Results: The longest hospitalizations were significantly related to the diagnosis of “schizophrenia and other psychosis” (Pearson Chi2=17.24; p=0.045), the presence of moderate and severe aggressiveness (Pearson chi2=29; p=0.000), compulsory treatment (Pearson Chi2=8.05; p=0.005), parenteral or other route administration of psycho-pharmacotherapy (Pearson Chi2=12.91; p=0.007), poli-therapy (Pearson Chi2=6.40; p=0.041), complex psychiatric activities (Pearson Chi2=12.26; p=0.002) and rehabilitative programs (Pearson Chi2=37.05; p=0.000) during the hospitalization and at discharge (Pearson Chi2=29.89; p=0.000). Many demographic and clinical variables were statistically significantly correlated to the LOS at our multiple linear and logistic regression model.Conclusion: In our sample, clinical illness severity and need for complex therapeutic and rehabilitative treatments were associated with prolonged psychiatric hospitalizations. Understanding this phenomenon can have not only economic but also clinical, ethical and social relevance.Keywords: psychiatric long-stay, acute psychiatric ward, predictors of long-stay, illness severity

Objectives: Irritability and anhedonia are cardinal symptoms of depression for children and adolescents. However, anhedonia may be more strongly associated with illness severity compared with irritability. The present study evaluated the impact of irritability and anhedonia on symptom severity and functional impairment among depressed children and adolescents. Methods: Participants were 383 children and adolescents presenting for outpatient treatment at a community mental health center or academic medical center. Children and adolescents were diagnosed with unipolar depression or bipolar disorder. Regression models predicted depression severity and functional impairment from irritability and anhedonia after covarying age, gender, depressive and hypomanic symptoms, and diagnosis. Results: Greater irritability and anhedonia were associated with more severe depression symptoms. Greater irritability, but not anhedonia, was associated with lower global functioning and family quality of life (QoL), and more externalizing problems. Greater anhedonia was associated with lower overall, emotional, self-esteem, and social QoL. Neither irritability nor anhedonia was associated with school or physical QoL, nonsuicidal self-injury, suicidal ideation, number of comorbid diagnoses, or internalizing problems. Conclusions: Irritability was associated with more markers of depression severity, whereas anhedonia was associated with indicators of functional impairment. This study used a cross-sectional observational design and therefore cannot provide information about cause and effect relationships between variables. Irritability and anhedonia were derived from their respective subscales of the General Behavior Inventory and included only caregiver-reported symptoms but not child- or adolescent-reported symptoms. Identifying the impact of specific symptoms of depression may assist clinicians in delivering more individualized interventions to target symptoms that result in greater impairment. [ABSTRACT FROM AUTHOR]

Background and purpose: Fatty liver is one of the most common pre-existing illnesses; it can cause liver injury, leading to further complications in coronavirus disease 2019 patients. Our goal is to determine if pre-existing fatty liver is more prevalent in hospitalized COVID-19 patients compared to patients admitted before the SARS-CoV-2 pandemic and determine the disease severity among fatty liver patients. Experimental approach: This retrospective study involves a case and a control group consisting of 1162 patients; the case group contains hospitalized COVID-19 patients with positive PCR tests and available chest CT-scan; the control group contains patients with available chest CT-scan previous to the COVID-19 pandemic. Patients' data such as liver Hounsfield unit, hospitalization length, number of affected lobes, and total lungs involvement score were extracted and compared between the patients. Results: The findings indicate that 37.9% of hospitalized COVID-19 patients have a pre-existing fatty liver, which is significantly higher (P < 0.001) than the prevalence of pre-existing fatty liver in control group patients (9.02%). In comparison to hospitalized non-fatty liver COVID-19 patients, data from hospitalized COVID-19 patients with fatty liver indicate a longer hospitalization length (6.81 ± 4.76 P = 0.02), a higher total lungs involvement score (8.73 ± 5.28 P < 0.001), and an increased number of affected lobes (4.42 ± 1.2 P < 0.001). Conclusion: The statistical analysis shows fatty liver is significantly more prevalent among COVID-19 against non-COVID-19 patients, and they develop more severe disease and tend to be hospitalized for more extended periods. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease 2019 (COVID-19) has evolved into a worldwide pandemic, and has been found to be closely associated with mental and neurological disorders. We aimed to comprehensively quantify the association between mental and neurological disorders, both pre-existing and subsequent, and the risk of susceptibility, severity and mortality of COVID-19. Methods: In this systematic review and meta-analysis, we searched PubMed, Web of Science, Embase, PsycINFO, and Cochrane library databases for studies published from the inception up to January 16, 2021 and updated at July 7, 2021. Observational studies including cohort and case-control, cross-sectional studies and case series that reported risk estimates of the association between mental or neurological disorders and COVID-19 susceptibility, illness severity and mortality were included. Two researchers independently extracted data and conducted the quality assessment. Based on I2 heterogeneity, we used a random effects model to calculate pooled odds ratios (OR) and 95% confidence intervals (95% CI). Subgroup analyses and meta-regression analysis were also performed. This study was registered on PROSPERO (registration number: CRD 42021230832). Finding: A total of 149 studies (227,351,954 participants, 89,235,737 COVID-19 patients) were included in this analysis, in which 27 reported morbidity (132,727,798), 56 reported illness severity (83,097,968) and 115 reported mortality (88,878,662). Overall, mental and neurological disorders were associated with a significant high risk of infection (pre-existing mental: OR 1·67, 95% CI 1·12-2·49; and pre-existing neurological: 2·05, 1·58-2·67), illness severity (mental: pre-existing, 1·40, 1·25-1·57; sequelae, 4·85, 2·53-9·32; neurological: pre-existing, 1·43, 1·09-1·88; sequelae, 2·17, 1·45-3·24), and mortality (mental: pre-existing, 1·47, 1·26-1·72; neurological: pre-existing, 2·08, 1·61-2·69; sequelae, 2·03, 1·66-2·49) from COVID-19. Subgroup analysis revealed that association with illness severity was stronger among younger COVID-19 patients, and those with subsequent mental disorders, living in low- and middle-income regions. Younger patients with mental and neurological disorders were associated with higher mortality than elders. For type-specific mental disorders, susceptibility to contracting COVID-19 was associated with pre-existing mood disorders, anxiety, and attention-deficit hyperactivity disorder (ADHD); illness severity was associated with both pre-existing and subsequent mood disorders as well as sleep disturbance; and mortality was associated with pre-existing schizophrenia. For neurological disorders, susceptibility was associated with pre-existing dementia; both severity and mortality were associated with subsequent delirium and altered mental status; besides, mortality was associated with pre-existing and subsequent dementia and multiple specific neurological diseases. Heterogeneities were substantial across studies in most analysis. Interpretation: The findings show an important role of mental and neurological disorders in the context of COVID-19 and provide clues and directions for identifying and protecting vulnerable populations in the pandemic. Early detection and intervention for neurological and mental disorders are urgently needed to control morbidity and mortality induced by the COVID-19 pandemic. However, there was substantial heterogeneity among the included studies, and the results should be interpreted with caution. More studies are needed to explore long-term mental and neurological sequela, as well as the underlying brain mechanisms for the sake of elucidating the causal pathways for these associations. Funding: This study is supported by grants from the National Key Research and Development Program of China, the National Natural Science Foundation of China, Special Research Fund of PKUHSC for Prevention and Control of COVID-19, and the Fundamental Research Funds for the Central Universities.

Rapidly assessing how ill a patient is based on their immediate presentation—colloquially termed 'eyeballing' in practice—serves a vital role in acute care settings. Yet surprisingly little is known about how this diagnostic skill is learned or how it should be taught. Some authors have pointed to a dual-process model, suggesting that assessments of illness severity are driven by two distinct types of processing: an intuitive, fast, pattern recognition-like process (Type 1) that depends on many prior patient encounters and outcomes being stored in memory; and a deliberate, slow, analytic process (Type 2) characterized by additional data gathering, data scrutiny, or recollection of rules. But prior studies have supported a dual-process model for the assessment of illness severity only insofar as experienced clinicians chiefly displayed what was presumed to be Type 1 processing. Here we further explored a dual-process model by examining whether less experienced clinicians displayed both types of processing when assessing illness severity across a series of cases. Consistent with the model, a dissociation between Type 1 and Type 2 processing was observed through resident reports of deliberation, response times, and three eye tracking metrics associated with diagnostic expertise. We conclude by discussing potential implications for the training of this enigmatic diagnostic skill. [ABSTRACT FROM AUTHOR]

Background and Purpose: Illness severity among children with life-limiting illnesses is measured with the pediatric complex chronic conditions (CCC) measure. Developed in 2000/2001, it was revised in 2014 to include infant-specific categories. Methods: Discrimination, calibration, accuracy, and validation tests were used to examine the predictive performance of the measures. Results: Among the 10,175 infants in the analysis, both measures poorly discriminated—palliative care consultation (C-statistics 0.6396 vs. C-statistics 0.5905) and any inpatient procedure (C-statistics 0.6101 vs. C-statistics 0.5160). The Hosmer–Lemeshow goodness-of-fit tests revealed good calibration for both measures. The original measure was more accurate in predicting end-of-life outcomes—palliative care consultation (Brier Score 0.3892 vs. 0.7787) and any inpatient procedures (Brier Score 0.3115 vs. 0.4738). Conclusions: The revised measure did not perform any better than the original in predicting end-of-life outcomes among infants. [ABSTRACT FROM AUTHOR]

Background: The bioelectrical impedance (BI) phase angle (PA), analyzed directly through BI analysis (BIA), is determined by tissue cellularity, representing a direct measure of cellular stability and, for this reason, has been studied and considered as an indicator of prognosis and nutrition status in adults and children. Objective: We aimed to determine if PA can be an indicator of mortality and prognosis in newborns admitted to the neonatal intensive care unit (NICU). Methods: Transversal study conducted at a public NICU in Curitiba, Paraná, Brazil. All newborns, preterm and term, were considered eligible for the study if admission to the NICU occurred by the first hour of life. The Score for Neonatal Acute Physiology II, as well as the Perinatal Extension version, were developed to assess the risk of mortality for all newborns, measured within 12 hours of admission. BIA measurements were conducted using the tetrapolar BioScan Maltron 916, with single‐frequency (50 kHz) tetrapolar BI. PA was calculated as the arc tangent: (Xc/R) x 180°/π. Results: BIA was measured during the first 24 hours of admission for all newborns (n = 93), repeated between 24 and 48 hours (n = 79) and again after 7 days (n = 55), always when possible. PA measurements decreased in the first 48 hours in premature newborns, particularly among those who died. The premature newborns also showed a significant decrease from the first to the last PA measurement (P =.001). In addition, whereas full‐term newborns showed an increase of PA at 1 week of life, preterm infants continued to have a decrease in values. For preterm newborns, PA measurements decreased and more sharply so for those who died. This result should be viewed with caution given the small number of deaths, but it should be investigated to understand the role of PA in the prognosis of NICU newborns. Conclusions: The absolute value of PA during the first 24 hours of life was not a good marker for severity or mortality. However, the decrease of PA between different moments of evaluation was a good marker of severity. The decrease of PA in the first 48 hours in premature newborns, and that when the decrease is more pronounced, may be indicative of mortality. The difference in PA values between these newborns is probably a significant variable for mortality and prognosis and not a cutoff value. [ABSTRACT FROM AUTHOR]

Background Pregnant women with coronavirus disease 2019 (COVID-19) are at increased risk for severe illness compared with nonpregnant women. Data to assess risk factors for illness severity among pregnant women with COVID-19 are limited. This study aimed to determine risk factors associated with COVID-19 illness severity among pregnant women with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Methods Pregnant women with SARS-CoV-2 infection confirmed by molecular testing were reported during 29 March 2020–5 March 2021 through the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET). Criteria for illness severity (asymptomatic, mild, moderate-to-severe, or critical) were adapted from National Institutes of Health and World Health Organization criteria. Crude and adjusted risk ratios for moderate-to-severe or critical COVID-19 illness were calculated for selected demographic and clinical characteristics. Results Among 7950 pregnant women with SARS-CoV-2 infection, moderate-to-severe or critical COVID-19 illness was associated with age 25 years and older, healthcare occupation, prepregnancy obesity, chronic lung disease, chronic hypertension, and pregestational diabetes mellitus. Risk of moderate-to-severe or critical illness increased with the number of underlying medical or pregnancy-related conditions. Conclusions Older age and having underlying medical conditions were associated with increased risk of moderate-to-severe or critical COVID-19 illness among pregnant women. This information might help pregnant women understand their risk for moderate-to-severe or critical COVID-19 illness and can inform targeted public health messaging. [ABSTRACT FROM AUTHOR]

Objective: To identify and describe the mechanisms of lifestyle characteristics—obesity, DM, hypertension and physical inactivity—that may lead to the severity of illness among individuals with COVID-19. Data Source: A scoping review was conducted by searching electronic databases of PubMed and Scopus from December 2019 to August 2020. Inclusion/Exclusion Criteria: inclusion criteria were studies that explicitly describe the mechanism of COVID—19 in relationship with either hypertension, type 2 diabetes mellitus type 2 (DM), obesity and/or physical inactivity. Studies of epidemiological background, descriptive surveys and interventional studies were excluded. Data Extraction: study characteristics were tabulated according to purpose, type of non-communicable diseases (NCDs), the hypothesis on the mechanism of infestation (MOI) and conclusion. Data Synthesis: NCDs were categorized according to type and hypothesis on mechanisms of infestation. The interplay between COVID—19, type of NCDs and MOI leading to the severity of the disease was appraised. Results: Twenty-four (24) studies were identified from 357 unique records. Eight studies postulated the mechanism of infestation and interaction between COVID 19 illness severity and Obesity, while 7 studies described COVID—19 and DM. Five studies highlighted the interaction between COVID—19 and hypertension with 4 studies showing how physical activity restriction suppresses immunity. Conclusion: The current review, identified and explicitly described the mechanisms of the lifestyle characteristics that may increase the severity of illness among people with COVID-19. [ABSTRACT FROM AUTHOR]

Principles for priority setting in health care are typically forged by experts influenced by the normative literature on priority setting. Meanwhile, their implementation is subject to democratic deliberation, political pressures, and administrative bureaucracy. Sometimes expert proposals are democratically rejected. This points towards a problem: on the one hand, the fact that a majority shares a moral belief does not inherently validate this belief. On the other hand, when justifying a position to others, we cannot expect much success without engaging with their moral judgments. In this work we examine the possibility of including so-called popular views in a reflective equilibrium process. In reflective equilibrium processes, we are usually interested in considered judgments rather than mere intuitions. Popular views, arguably, often do not meet this standard. To mitigate this, we propose to bolster popular views by linking them with theoretical frameworks echoing similar moral perspectives. We use illness severity as a case study and show that a set of popular accounts can provide considered judgments that merit inclusion in a publicly informed reflective equilibrium process. This is plausibly a way forward in the search for priority setting principles that are both normatively sound and acceptable to the public. Our method provides a general framework for refining available data on popular views on moral questions, including when we cannot assess the consideredness of such views. • The public holds normative views that are relevant for healthcare priority setting. • These views should be considered when doing normative work on priority setting. • Reflective equilibrium processes can include public perspectives. • We can bolster popular views to prepare them for normative processes. • Bolstering popular views help include the public in priority setting processes. [ABSTRACT FROM AUTHOR]

Abstract Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease, whose exact cause remains unclear. A wide range of risk factors has been proposed that helps understanding potential disease pathogenesis. However, there is little consistency for many risk factor associations, thus we undertook an exploratory study of risk factors using data from the UK ME/CFS Biobank participants. We report on risk factor associations in ME/CFS compared with multiple sclerosis participants and healthy controls. Methods This was a cross-sectional study of 269 people with ME/CFS, including 214 with mild/moderate and 55 with severe symptoms, 74 people with multiple sclerosis (MS), and 134 healthy controls, who were recruited from primary and secondary health services. Data were collected from participants using a standardised written questionnaire. Data analyses consisted of univariate and multivariable regression analysis (by levels of proximity to disease onset). Results A history of frequent colds (OR = 8.26, P

Objective: The literature provides very limited information on mirtazapine usage in the pregnancy period. The groups including pregnant women who used SSRI or mirtazapine as a single treatment, SSRI–mirtazapine combination treatment and unmedicated groups were compared with respect to illness severity and birth outcomes. Method: The study sample included 120 pregnant women; 40 women with SSRI usage, 16 women with mirtazapine usage, 18 women with combined SSRI- mirtazapine usage, 23 women with unmedicated psychiatric disorder and who elected not to take medication during their pregnancy or discontinued antidepressants by themselves, and 23 healthy control women. Results: No difference was obtained with regard to the gestation week of birth, birth weight, the duration of stay in the neonatal care unit among the SSRI, mirtazapine, SSRI–mirtazapine combination, unmedicated patient and control groups. The likelihood of a new diagnosis was highest in the mirtazapine group. The majority of pregnant women whose psychiatric disorders were more severe and more relapsed used SSRI–mirtazapine combination treatment. Conclusion: No difference was observed between the SSRI and mirtazapine usage in the pregnancy period with regard to the birth outcomes. Similar birth outcomes could present clinicians with the option of prescribing mirtazapine as a safe alternative to SSRI in the treatment of antenatal psychiatric patients.

Background: The Montgomery-Åsberg Depression Rating Scale (MADRS) is commonly used to assess depression symptom changes in clinical trials; however, the score itself can be difficult to interpret without clinical context. Categories of depression severity corresponding to MADRS total score have not been established for bipolar depression, which was the objective of this study.Methods: Data were pooled from 3 randomized, double-blind, placebo-controlled trials of cariprazine in patients with bipolar I depression; placebo and cariprazine arms were pooled. An anchor-based approach was used to map MADRS total score to the clinician-rated, 7-category Clinical Global Impression of Severity scale (CGI-S). Spearman's correlation coefficient was used to assess associations between MADRS total and CGI-S scores. Optimal MADRS severity thresholds for each CGI-S category was determined via Youden index using receiver operating characteristic (ROC) analyses.Results: Using data from 1523 patients with bipolar depression, mean MADRS total scores were positively correlated with mean CGI-S scores at week 6 (r = 0.87; P<.0001). Using ROC curves, MADRS severity thresholds corresponding to each CGI-S category were estimated with high sensitivity and specificity: 0-6 for "normal, not at all ill", 7-12 for "borderline mentally ill", 13-18 for "mildly ill", 19-23 for "moderately ill", 24-36 for "markedly ill", 37-39 for "severely ill", and ≥40 for "extremely ill".Conclusions: Utilizing data from 3 clinical trials of patients with bipolar depression, MADRS severity thresholds were identified. These empirical findings may help clinicians contextualize MADRS results from bipolar clinical research and apply to their practice.Trial Registration: clinicaltrials.gov NCT01396447, NCT02670538, NCT02670551. [ABSTRACT FROM AUTHOR]

Objective: To evaluate clinicopathological prognostic indicators associated with survival based on hematology and serum biochemistry profile findings at presentation of dogs with canine parvoviral enteritis (CPE). Secondary objectives were to describe the signalment, history, physical examination findings, and progression of disease while in hospital and correlate them to survival. Design: Retrospective study from medical records of dogs diagnosed with CPE between 2001 and 2018. Setting: University teaching hospital. Animals: Three hundred twenty‐two dogs diagnosed with CPE that received in‐hospital treatment. Interventions: None. Measurements and main results: Of 322 hospitalized dogs, 294 dogs (91%) survived infection with a median hospitalization time of 79 hours. Multivariable analysis showed that glucose (P = 0.04), total magnesium (P = 0.011), and the dichotomized variable of a low HCT (P = 0.033) on presentation were significantly associated with survival. For every 1 mmol/L (18 mg/dL) decrease in glucose concentration, cases had 1.85 lower odds of survival. For every 0.1 mmol/L (0.2 mEq/L) increase in total magnesium concentration, cases had 2.50 lower odds of survival. Cases with a low HCT had 10.69 lower odds of survival. On univariable analyses, non‐survivors had a lower median body weight (P = 0.006) and presented more commonly for diarrhea (P = 0.015). At least 1 episode of diarrhea (P = 0.003) and hematochezia or melena (P < 0.001) in hospital were negatively associated with outcome, in addition to the persistence of diarrhea (P = 0.026) and hyporexia (P = 0.018) in hospital for 5 to 6 days. Conclusions: Survival rates of 91% were achieved with in‐hospital treatment in this cohort of dogs. Negative biochemical prognostic indicators affecting survival include a low HCT, decreased blood glucose concentrations, and increased total serum magnesium concentrations at presentation. [ABSTRACT FROM AUTHOR]