Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.

Background: The severity of coronavirus (COVID-19) in patients with chronic comorbidities is much higher than in other patients, which can lead to their death. Machine learning (ML) algorithms as a potential solution for rapid and early clinical evaluation of the severity of the disease can help in allocating and prioritizing resources to reduce mortality. Objective: The objective of this study was to predict the mortality risk and length of stay (LoS) of patients with COVID-19 and history of chronic comorbidities using ML algorithms. Methods: This retrospective study was conducted by reviewing the medical records of COVID-19 patients with a history of chronic comorbidities from March 2020 to January 2021 in Afzalipour Hospital in Kerman, Iran. The outcome of patients, hospitalization was recorded as discharge or death. The filtering technique used to score the features and well-known ML algorithms were applied to predict the risk of mortality and LoS of patients. Ensemble Learning methods is also used. To evaluate the performance of the models, different measures including F1, precision, recall, and accuracy were calculated. The TRIPOD guideline assessed transparent reporting. Results: This study was performed on 1291 patients, including 900 alive and 391 dead patients. Shortness of breath (53.6%), fever (30.1%), and cough (25.3%) were the three most common symptoms in patients. Diabetes mellitus(DM) (31.3%), hypertension (HTN) (27.3%), and ischemic heart disease (IHD) (14.2%) were the three most common chronic comorbidities of patients. Twenty-six important factors were extracted from each patient's record. Gradient boosting model with 84.15% accuracy was the best model for predicting mortality risk and multilayer perceptron (MLP) with rectified linear unit function (MSE = 38.96) was the best model for predicting the LoS. The most common chronic comorbidities among these patients were DM (31.3%), HTN (27.3%), and IHD (14.2%). The most important factors in predicting the risk of mortality were hyperlipidemia, diabetes, asthma, and cancer, and in predicting LoS was shortness of breath. Conclusion: The results of this study showed that the use of ML algorithms can be a good tool to predict the risk of mortality and LoS of patients with COVID-19 and chronic comorbidities based on physiological conditions, symptoms, and demographic information of patients. The Gradient boosting and MLP algorithms can quickly identify patients at risk of death or long-term hospitalization and notify physicians to do appropriate interventions.

[Castellón Field Hospital: comprehensive analysis of its use during the SARS-CoV-2 pandemic.]

OBJECTIVE: Field hospitals, also known as alternative care sites, have been an important healthcare reinforcement during the SARS-CoV-2 pandemic worldwide. In the Valencian Community, three of these hospitals were opened, one for each province. Our study aimed to make a comprehensive analysis of this resource in Castellon. METHODS: A retrospective observational study was carried out with an analytical and statistical component of 3 aspects: infrastructure, satisfaction and clinical data from COVID-positive hospitalized patients. The sources of information were primary, institutional for the infrastructure and personal for the satisfaction surveys and clinical data. RESULTS: A set of 6x3 metres polyvalent tents was chosen, which joined formed a single-floor area of about 3.500 m(2). Although hospital opened for approximately a year and a half with multiple uses, most in relation to the COVID pandemic (vaccination center, emergency room observation, hospital assistance, warehouse...), reception of positive patients for the virus began during the third wave of the pandemic, remaining active for eleven days. A total of thirty-one patients with a mean age of 56 years were admitted. 41.9% did not have any comorbidity and 54.8% needed treatment with oxygen therapy. Furthermore, the length of stay was three days, finding a significant relationship between this one, the oxygen flow required during admission and the age. Satisfaction was measured by a survey of seventeen questions where an average satisfaction of 8.33/10. CONCLUSIONS: This is one of the few studies in the literature in which a field hospital is analyzed from such different points of view. After this analysis, it is concluded that it is an extraordinary and temporary resource whose use is useful without reflecting an increase of morbidity/mortality among our patients and with a very favorable subjective assessment.

Outpatient management of facial fractures in France: Current state.

Maxillofacial trauma is still very common in France with possible involvement of all face bones. Outpatient surgery is an axis strongly put forward by the public authorities. The aim of this study is to establish a current state in the outpatient management of facial fractures in France in 2019 before COVID infection. A closed and semi-open-ended questionnaire was sent to French hospitals treating facial fractures in order to evaluate current and possible future practices in terms of outpatient and perioperative management. Data extracted from the Program for giving Medical significance to Information Systems (PMSI) thanks to the Agency for Information on Hospital Care (ATIH) were also studied to obtain proportions of outpatient care by department. About the questionnaire 43 replies were received. Nasal fractures were the only type of fracture having a minimum average length of stay below 24hours (12.00±16.65) as well as an actual average length of stay (14.22±24.24). Concerning data extracted from the PMSI, 14510 stays were found. Currently only nasal fractures and zygomatic arch fractures requiring simple reduction without osteosynthesis are performed on an outpatient basis. Mandibular fractures could be performed as an outpatient procedure. Access to the operating room and organizational problems specific to each center are factors that limit the development of outpatient management of these facial fractures. Some incompressible parameters such as the monitoring required following the management of these fractures as well as the patients' comorbidities must be taken into account.

Comparative study of length of stay of COVID-19 recovered patients in government and private tertiary care setup

Background: COVID-19 pandemic placed an unprecedented strain on health-care systems. The demand for healthcare in hospitals and intensive care units increased everywhere in the world in the form of beds, staff, equipment, medicines, etc. In this process, length of stay in hospital of COVID-infected patients is a crucial point for hospital authorities to plan to provide effective healthcare to patients arriving at the hospital and also to treat non-COVID patients and other medical emergencies. Aims and Objectives: The aims of this study were to find the difference in length of stay in government and private tertiary care setup, to find the length of stay of COVID recovered patient with and without morbidities Material(s) and Method(s): After taking due permission from the ethical committee and respective authorities concerned in private and government tertiary care hospitals, case sheets of patient recovered from COVID were taken and analyzed in terms of patients condition while presentation to hospital, SpO2, morbidities, number of days symptoms developed, and length of stay in hospital. Result(s): In my study, the length of stay of COVID-infected people in private and government setup was almost the same, around 11-12 days. Patients with comorbidities had a higher length of stay in hospital in both private and government setup, but the duration of stay was higher in government setup 14 days in government setup, 11-12 days in private setup. Good SpO2 at time of admission had decreased the length of stay of hospital in both setups. There is no correlation between length of stay in hospital and period of symptoms before admission in both private and government setup. Conclusion(s): In my study, the length of stay of patient with COVID infection was higher in government setup by 1 day without morbidities and 2-3 days with morbidities.Copyright © 2023 Ravi Sunder Ragam, et al.

Investigation of admission serum creatinine as a predictor of hospital length of stay in triple-vaccinated COVID-19 inpatients.

BACKGROUND: This study assessed the association between admission kidney function and the duration of hospitalization in triple-vaccinated coronavirus disease 2019 (COVID-19) inpatients during the omicron surge in Larissa, central Greece. METHODS: Regression analysis was used to estimate the effect of kidney function biomarkers on hospital length of stay (LoS) within a dataset from a cohort of 51 subjects. RESULTS: Sex- and age-adjusted admission serum creatinine was associated with hospital LoS (p=0.034). CONCLUSIONS: Serum creatinine concentration on admission should be further evaluated as a possible clinical predictor of hospital LoS among triple-vaccinated COVID-19 inpatients both at the country and global level.

Evaluation of risk scores as predictors of mortality and hospital length of stay for older COVID-19 patients.

Objective: This study was intended to research the sensitivity of the Charlson Comorbidity Index (CCI), COVID-GRAM, and MuLBSTA risk scores for hospital length of stay (LOS) and mortality in older patients hospitalized with coronavirus disease 2019 (COVID-19). Methods: A total of 217 patients (119 women) were included in the study. The first clinical signs, comorbidities, laboratory and radiology findings, and hospital LOS were recorded for each patient. The CCI, COVID-GRAM, and MuLBSTA risk scores were calculated, and their sensitivities for hospital LOS and mortality were evaluated using receiver operating characteristic (ROC) curve analysis. Results: Of the hospitalized patients, 59 (27.2%) were followed in the intensive care unit, and mortality developed in 44 (20.3%). The CCI positively correlated with COVID-GRAM and MuLBSTA scores (P < 0.001). COVID-GRAM and MuLBSTA results correlated with LOS and mortality (P < 0.001). According to the ROC curve analysis, the cutoff points for mortality were 5 for CCI, 169 for COVID-GRAM, and 9 for MuLBSTA. Conclusion: Older patients with comorbidities are the major risk group for severe COVID-19. COVID-GRAM and MuLBSTA scores appear to be sensitive and reliable mortality indicators for these patients.

Impact of Vaccination on Cost and Course of Hospitalization Associated with COVID-19 Infection.

Objective: Examine the impact of vaccination status on hospital cost and course for patients admitted with COVID-19 infection. Design: Retrospective cohort study characterizing vaccinated and unvaccinated individuals hospitalized for COVID-19 between April 2021 to January 2022. Setting: Large academic medical center. Methods: Patients were included if they were greater than 18 years old, fully vaccinated or unvaccinated against COVID-19, and admitted for COVID-19 infection. Patients: 437 consecutively admitted patients for COVID-19 infection met inclusion criteria. Of these, 79 were excluded for unknown or partial vaccination status, transfer from an outside hospital, or multiple COVID-19 related admissions. Results: Overall, 279 (77.9%) unvaccinated patients compared to 79 (22.1%) vaccinated patients were hospitalized with a diagnosis of COVID-19. Average length of stay was significantly lower in the vaccinated group (6.47 days versus 8.92 days, P = 0.03). Vaccinated patients experienced a 70.6% lower risk of ICU admission (OR = 0.29, 95% CI 0.12-0.71, P = 0.006). The unadjusted cost of hospitalization was not found to be statistically significant ($119,630 versus $191,146, P = 0.06). After adjusting for age and comorbidities, vaccinated patients experienced a 26% lower cost of hospitalization compared to unvaccinated patients (P = 0.004). Unvaccinated patients incurred a significantly higher cost of hospitalization per day ($29,425 vs $13,845 P < 0.0001). Unvaccinated patients (n = 118, 42.9%) were more likely than vaccinated patients (n = 16, 20.3%) to require high-flow oxygen or mechanical ventilation (OR = 2.95, 95% CI 1.62-5.38, P = 0.0004). Conclusion: Vaccinated patients experienced a lower cost of hospitalization after adjusting for age and comorbidities and shorter length of stay compared to unvaccinated patients admitted for COVID-19.

Colorectal Surgery Outcomes in the United States During the COVID-19 Pandemic.

INTRODUCTION: The purpose of this study was to assess colorectal surgery outcomes, discharge destination, and readmission in the United States during the COVID-19 pandemic. METHODS: Adult colorectal surgery patients in the American College of Surgeons National Surgical Quality Improvement Program database (2019-2020) and its colectomy and proctectomy procedure-targeted files were included. The prepandemic time period was defined from April 1, 2019 to December 31, 2019. The pandemic time period was defined from April 1, 2020 to December 31, 2020 in quarterly intervals (Q2 April-June; Q3 July-September; Q4 October-December). Factors associated with morbidity and in-hospital mortality were assessed using multivariable logistic regression. RESULTS: Among 62,393 patients, 34,810 patients (55.8%) underwent colorectal surgery prepandemic and 27,583 (44.2%) during the pandemic. Patients who had surgery during the pandemic had higher American Society of Anesthesiologists class and presented more frequently with dependent functional status. The proportion of emergent surgeries increased (12.7% prepandemic versus 15.2% pandemic, P < 0.001), with less laparoscopic cases (54.0% versus 51.0%, P < 0.001). Higher rates of morbidity with a greater proportion of discharges to home and lesser proportion of discharges to skilled care facilities were observed with no considerable differences in length of stay or worsening readmission rates. Multivariable analysis demonstrated increased odds of overall and serious morbidity and in-hospital mortality, during Q3 and/or Q4 of the 2020 pandemic. CONCLUSIONS: Differences in hospital presentation, inpatient care, and discharge disposition of colorectal surgery patients were observed during the COVID-19 pandemic. Pandemic responses should emphasize balancing resource allocation, educating patients and providers on timely medical workup and management, and optimizing discharge coordination pathways.

Ginger supplement significantly reduced length of hospital stay in individuals with COVID-19.

BACKGROUND: Evidence from previous studies has suggested that ginger extract exhibits the potential as an alternative treatment for Coronavirus disease 2019 (COVID-19). Here, we want to investigate whether ginger supplement improves the clinical manifestation of hospitalized COVID-19 individuals. METHODS: A total of 227 hospitalized individuals with COVID-19 were randomized to either the control (n = 132) or intervention group (n = 95). The intervention group took ginger supplement orally at the dosage of 1.5 g twice daily, until they were discharged from the hospital. Both groups received the same standard of general medical care during hospitalization, and the length of stay was recorded and compared between groups. RESULTS: Among all participants, a significant reduction in hospitalization time (the difference between the treatment and control groups was 2.4 d, 95% CI 1.6-3.2) was detected in response to the ginger supplement. This effect was more pronounced in men, participants aged 60 years or older, and participants with pre-existing medical conditions, relative to their counterparts (P-interactions < 0.05 for all). CONCLUSION: Ginger supplement significantly shortened the length of stay of hospitalized individuals with COVID-19. TRIAL REGISTRATION: The trial was registered on the Chinese Clinical Trial Registry (ChiCTR2200059824).

Impact of the COVID-19 pandemic on shoulder arthroplasty: surgical trends and postoperative care pathway analysis.

BACKGROUND: COVID-19 triggered disruption in the conventional care pathways for many orthopedic procedures. The current study aims to quantify the impact of the COVID-19 pandemic on shoulder arthroplasty hospital surgical volume, trends in surgical case distribution, length of hospitalization, posthospital disposition, and 30-day readmission rates. METHODS: This study queried all Medicare (100% sample) fee-for-service beneficiaries who underwent a shoulder arthroplasty procedure (Diagnosis-Related Group code 483, Current Procedural Terminology code 23472) from January 1, 2019, to December 18, 2020. Fracture cases were separated from nonfracture cases, which were further subdivided into anatomic or reverse arthroplasty. Volume per 1000 Medicare beneficiaries was calculated from April to December 2020 and compared to the same months in 2019. Length of stay (LOS), discharged-home rate, and 30-day readmission for the same period were obtained. The yearly difference adjusted for age, sex, race (white vs. nonwhite), Centers for Medicare & Medicaid Services Hierarchical Condition Category risk score, month fixed effects, and Core-Based Statistical Area fixed effects, with standard errors clustered at the provider level, was calculated using a multivariate analysis (P < .05). RESULTS: A total of 49,412 and 41,554 total shoulder arthroplasty (TSA) cases were observed April through December for 2019 and 2020, respectively. There was an overall decrease in shoulder arthroplasty volume per 1000 Medicare beneficiaries by 14% (19% reduction in anatomic TSA, 13% reduction in reverse shoulder arthroplasty, and 3% reduction in fracture cases). LOS for all shoulder arthroplasty cases decreased by 16% (-0.27 days, P < .001) when adjusted for confounders. There was a 5% increase in the discharged-home rate (88.0% to 92.7%, P < .001), which was most prominent in fracture cases, with a 20% increase in discharged-home cases (65.0% to 73.4%, P < .001). There was no significant change in 30-day hospital readmission rates overall (P = .20) or when broken down by individual procedures. CONCLUSIONS: There was an overall decrease in shoulder arthroplasty volume per 1000 Medicare beneficiaries by 14% during the COVID-19 pandemic. A decrease in LOS and increase in the discharged-home rates was also observed with no significant change in 30-day hospital readmission, indicating that a shift toward an outpatient surgical model can be performed safely and efficiently and has the potential to provide value.

Adult and Elderly Risk Factors of Mortality in 23,614 Emergently Admitted Patients with Rectal or Rectosigmoid Junction Malignancy.

BACKGROUND: Colorectal cancer, among which are malignant neoplasms of the rectum and rectosigmoid junction, is the fourth most common cancer cause of death globally. The goal of this study was to evaluate independent predictors of in-hospital mortality in adult and elderly patients undergoing emergency admission for malignant neoplasm of the rectum and rectosigmoid junction. METHODS: Demographic and clinical data were obtained from the National Inpatient Sample (NIS), 2005-2014, to evaluate adult (age 18-64 years) and elderly (65+ years) patients with malignant neoplasm of the rectum and rectosigmoid junction who underwent emergency surgery. A multivariable logistic regression model with backward elimination process was used to identify the association of predictors and in-hospital mortality. RESULTS: A total of 10,918 non-elderly adult and 12,696 elderly patients were included in this study. Their mean (standard deviation (SD)) age was 53 (8.5) and 77.5 (8) years, respectively. The odds ratios (95% confidence interval, P-value) of some of the pertinent risk factors for mortality for operated adults were 1.04 for time to operation (95%CI: 1.02-1.07, p < 0.001), 2.83 for respiratory diseases (95%CI: 2.02-3.98), and 1.93 for cardiac disease (95%CI: 1.39-2.70), among others. Hospital length of stay was a significant risk factor as well for elderly patients-OR: 1.02 (95%CI: 1.01-1.03, p = 0.002). CONCLUSIONS: In adult patients who underwent an operation, time to operation, respiratory diseases, and cardiac disease were some of the main risk factors of mortality. In patients who did not undergo a surgical procedure, malignant neoplasm of the rectosigmoid junction, respiratory disease, and fluid and electrolyte disorders were risk factors of mortality. In this patient group, hospital length of stay was only significant for elderly patients.

Factors associated with prolonged length of hospital stay among COVID-19 cases admitted to the largest treatment center in Eastern Ethiopia.

INTRODUCTION: The hospital admissions load and how long each patient will stay in the hospital should be known to prevent the overwhelming of the health system during coronavirus disease 2019 era. Even though the length of hospital stay could vary due to different factors, the factors that affect the stay are not well characterized yet, particularly in the resource-limited settings. Knowing the time spent by the coronavirus disease 2019 patients in the hospital and its associated factors are important to prioritize mobilizing resources, such as beds, pharmacological and non-pharmacological supplies, and health personnel. Therefore, this study was intended to determine the median and identify factors associated with the length of hospital stay among coronavirus disease 2019 cases. METHODS: A facility-based cross-sectional study design was implemented on 394 randomly selected hospitalized patients. Epidata Version 3.1 software was used for data entry, and further analysis was done using Stata version 14.2 software. Frequencies, median with interquartile range, and chi-square test were performed. A logistic regression model was used to identify the association between outcome and explanatory variables. The statistical significance was declared at p-value of less than 0.05 at 95% confidence interval. RESULTS: The analysis was done for a total of 394 cases admitted for coronavirus disease 2019. The median age of the study participants was 40 years with interquartile range of 28-60 years. The median length of hospital stay was 12 days with the interquartile range of 8-17 days. The patients presented with shortness of breathing (AOR = 2.74, 95% confidence interval: 1.33-5.66), incident organ failure (AOR = 3.65, 95% confidence interval: 1.15-11.58), increased leukocyte count (AOR = 0.95; 95% confidence interval: 0.91-0.99), and blood urea nitrogen (AOR = 0.98, 95% confidence interval: 0.97-0.99) had a significant association with prolonged hospital stay. CONCLUSION: This study demonstrated that the proportion of patients stayed above the median hospital stay of the total patients was 185 (46.9%) with the median length of 12 (interquartile range = 8-17) days. Patients presented with difficulty of breathing, had incident organ failure, had decreased leukocyte, and blood urea nitrogen level should be estimated to stay longer in the hospital. Hence, patients with prolonged hospital length of stay associating factors should be expected to consume more pharmacological and non-pharmacological resources during hospital care receiving.

Predicting the Length of Stay of Patients in Hospitals

Due to the intensive treatment process of coronavirus pneumonia cases, it is important to predict the Length of Stay (LOS) of patients at the hospital to allow better management of resources and increase the efficiency of hospital services to provide improved healthcare. To predict LOS, we used four artificial neural network models namely the Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Multilayer Perceptron with PCA (PCA+MLP), and the Bidirectional Long Short Term Memory (BiLSTM) model to analyze the advantages and disadvantages of the different models using the Microsoft Hospital Length of Stay data. The proposed method is compared with the state-of-the-art models and a simple MLP model. Our models achieved an accuracy between 73% and 88% with the CNN model providing the highest accuracy. © 2021 IEEE.

Association of Frailty With the Risk of Mortality and Resource Utilization in Elderly Patients in Intensive Care Units: A Meta-Analysis.

Background: The associations of frailty with the risk of mortality and resource utilization in the elderly patients admitted to intensive care unit (ICU) remain unclear. To address these issues, we performed a meta-analysis to determine whether frailty is associated with adverse outcomes and increased resource utilization in elderly patients admitted to the ICU. Methods: We searched PubMed, EMBASE, ScienceDirect, and Cochrane Central Register of Controlled Trials through August 2021 to identify the relevant studies that investigated frailty in elderly (≥ 65 years old) patients admitted to an ICU and compared outcomes and resource utilization between frail and non-frail patients. The primary outcome was mortality. We also investigated the prevalence of frailty and the impact of frailty on the health resource utilization, such as hospital length of stay (LOS) and resource utilization of ICU. Results: A total of 13 observational studies enrolling 64,279 participants (28,951 frail and 35,328 non-frail) were finally included. Frailty was associated with an increased risk of short-term mortality (10 studies, relative risk [RR]: 1.70; 95% CI: 1.45-1.98), in-hospital mortality (five studies, RR: 1.73; 95% CI: 1.55-1.93), and long-term mortality (six studies, RR: 1.86; 95% CI: 1.44-2.42). Subgroup analysis showed that retrospective studies identified a stronger correlation between frailty and hospital LOS (three studies, MD 1.14 d; 95% CI: 0.92-1.36). Conclusions: Frailty is common in the elderly patients admitted to ICU, and is associated with increased mortality and prolonged hospital LOS. Trial registration: This study was registered in the PROSPERO database (CRD42020207242).

Assessing the effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in Belgium by means of an extended SEIQRD model and public mobility data.

We present a compartmental extended SEIQRD metapopulation model for SARS-CoV-2 spread in Belgium. We demonstrate the robustness of the calibration procedure by calibrating the model using incrementally larger datasets and dissect the model results by computing the effective reproduction number at home, in workplaces, in schools, and during leisure activities. We find that schools and home contacts are important transmission pathways for SARS-CoV-2 under lockdown measures. School reopening has the potential to increase the effective reproduction number from Re=0.66±0.04 (95 % CI) to Re=1.09±0.05 (95 % CI) under lockdown measures. The model accounts for the main characteristics of SARS-CoV-2 transmission and COVID-19 disease and features a detailed representation of hospitals with parameters derived from a dataset consisting of 22 136 hospitalized patients. Social contact during the pandemic is modeled by scaling pre-pandemic contact matrices with Google Community Mobility data and with effectivity-of-contact parameters inferred from hospitalization data. The calibrated social contact model with its publically available mobility data, although coarse-grained, is a cheap and readily available alternative to social-epidemiological contact studies under lockdown measures, which were not available at the start of the pandemic.

Factors Associated with Prolonged Hospital Length of Stay in Adults with Imported Falciparum Malaria-An Observational Study from a Tertiary Care University Hospital in Berlin, Germany.

Outcome of falciparum malaria is largely influenced by the standard of care provided, which in turn depends on the available medical resources. Worldwide, the COVID-19 pandemic has had a major impact on the availability of these resources, even in resource-rich healthcare systems such as Germany's. The present study aimed to determine the under-explored factors associated with hospital length of stay (LOS) in imported falciparum malaria to identify potential targets for improving management. This retrospective observational study used multivariate Cox proportional hazard regression with time to discharge as an endpoint for adults hospitalized between 2001 and 2015 with imported falciparum malaria in the Charité University Hospital, Berlin. The median LOS of the 535 cases enrolled was 3 days (inter-quartile range, IQR, 3-4 days). The likelihood of being discharged by day 3 strongly decreased with severe malaria (hazard ratio, HR, 0.274; 95% Confidence interval, 95%CI: 0.190-0.396) and by 40% with each additional presenting complication (HR, 0.595; 95%CI: 0.510-0.694). The 55 (10.3%) severe cases required a median LOS of 7 days (IQR, 5-12 days). In multivariate analysis, occurrence of shock (adjusted HR, aHR, 0.438; 95%CI 0.220-0.873), acute pulmonary oedema or acute respiratory distress syndrome (aHR, 0.450; 95%CI: 0.223-0.874), and the need for renal replacement therapy (aHR, 0.170; 95%CI: 0.063-0.461) were independently associated with LOS. All patients survived to discharge. This study illustrates that favourable outcomes can be achieved with high-standard care in imported falciparum malaria. Early recognition of disease severity together with targeted supportive care can lead to avoidance of manifest organ failure, thereby potentially decreasing LOS and alleviating pressure on bed capacities.

Time to Seek Care and Hospital Length of Stay Among Older Adults With Acute Coronary Syndrome During the COVID-19 Pandemic.

The prevalence of prehospital delay is high among older adults with acute coronary syndrome (ACS). The current study aimed to examine the associated factors of prehospital delay among patients with ACS during the COVID-19 pandemic. This cross-sectional study was conducted on a convenience sample of 300 older adults with ACS admitted to the emergency department in Jordan. Data were collected from June 1 to September 1, 2020. Bivariate and multivariate analyses were used to explore the predictors of prehospital delay. Being widowed, educational level, pain intensity, the gradual onset of ACS symptoms, symptoms lasting for more than 30 minutes, patients' feeling anxious about their ACS symptoms, patients' perceiving their symptoms to be particularly dangerous, history of myocardial infarction (MI), and mode of transportation were associated with the time taken before seeking emergency care. Significant predictors of time to seek help were chief complaint of chest pain or palpitations, abrupt onset of symptoms, the associated symptom of vertigo, and a higher number of chronic illnesses; they explained about 17.9% of the variance in the time to seek care. The average time to seek care among patients with ACS during the COVID-19 pandemic was found to be longer than the average time reported by studies conducted prior the pandemic. Improved understanding of the associations between prehospital delay is crucial for optimal ACS patient outcomes under the impacts of the COVID-19 pandemic.

No independent associations between physical activity and clinical outcomes among hospitalized patients with moderate to severe COVID-19.

BACKGROUND: Regular physical activity (PA) has been postulated to improve, or at least maintain, immunity across the life span. However, the link between physical (in)activity and coronavirus disease 2019 (COVID-19) remains to be established. This small-scale prospective cohort study is nested within a randomized controlled trial aimed to investigate the possible associations between PA levels and clinical outcomes among hospitalized patients with moderate to severe COVID-19. METHODS: Hospitalized patients with COVID-19 (mean age: 54.9 years) were recruited from the Clinical Hospital of the School of Medicine of the University of Sao Paulo (a quaternary referral teaching hospital) and from Ibirapuera Field Hospital, both located in Sao Paulo, Brazil. PA level was assessed using the Baecke Questionnaire of Habitual Physical Activity. The primary outcome was hospital length of stay. The secondary outcomes were mortality, admission to the intensive care unit (ICU), and mechanical ventilation requirement. RESULTS: The median hospital length of stay was 7.0 ± 4.0 days, median ± IQR; 3.3% of patients died, 13.8% were admitted to the ICU, and 8.6% required mechanical ventilation. Adjusted linear regression models showed that PA indices were not associated with hospital length of stay (work index: ß = -0.57 (95% confidence interval (95%CI): -1.80 to 0.65), p = 0.355; sport index: ß = 0.43 (95%CI: -0.94 to 1.80), p = 0.536; leisure-time index: ß = 1.18 (95%CI: -0.22 to 2.59), p = 0.099; and total activity index: ß = 0.20 (95%CI: -0.48 to 0.87), p = 0.563). None of the PA indices were associated with mortality, admission to the ICU, or mechanical ventilation requirement (all p > 0.050). CONCLUSION: Among hospitalized patients with COVID-19, PA did not independently associate with hospital length of stay or any other clinically relevant outcomes. These findings should be interpreted as meaning that, among already hospitalized patients with more severe forms of COVID-19, being active is a potential protective factor likely outweighed by a cluster of comorbidities (e.g., type 2 diabetes, hypertension, weight excess) and older age, suggesting that the benefit of PA against the worsening of COVID-19 may vary across stages of the disease.

Intravenous immunoglobulin-based adjuvant therapy for severe COVID-19: a single-center retrospective cohort study.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) is a major challenge facing the world. Certain guidelines issued by National Health Commission of the People's Repubilic of China recommend intravenous immunoglobulin (IVIG) for adjuvant treatment of COVID-19. However, there is a lack of clinical evidence to support the use of IVIG. METHODS: This single-center retrospective cohort study included all adult patients with laboratory-confirmed severe COVID-19 in the Respiratory and Critical Care Unit of Dabie Mountain Regional Medical Center, China. Patient information, including demographic data, laboratory indicators, the use of glucocorticoids and IVIG, hospital mortality, the application of mechanical ventilation, and the length of hospital stay was collected. The primary outcome was the composite end point, including death and the use of mechanical ventilation. The secondary outcome was the length of hospital stay. RESULTS: Of the 285 patients with confirmed COVID-19, 113 severely ill patients were included in this study. Compared to the non-IVIG group, more patients in the IVIG group reached the composite end point [12 (25.5%) vs 5 (7.6%), P = 0.008] and had longer hospital stay periods [23.0 (19.0-31.0) vs 16.0 (13.8-22.0), P < 0.001]. After adjusting for confounding factors, differences in primary outcomes between the two groups were not statistically significant (P = 0.167), however, patients in the IVIG group had longer hospital stay periods (P = 0.041). CONCLUSION: Adjuvant therapy with IVIG did not improve in-hospital mortality rates or the need for mechanical ventilation in severe COVID-19 patients. Our study does not support the use of immunoglobulin in patients with severe COVID-19 patients.