Death In COVID-19 Patients Research Articles

Zinc and selenium status in coronavirus disease 2019.

We systematically analyzed and attempted to discuss the possibility that deficiencies of zinc or selenium were associated with the incidence and severity of COVID-19. We searched for published and unpublished articles in PubMed, Embase, Web of Science and Cochrane up to 9 February 2023. And we selected healthy individuals, mild/severe, and even deceased COVID-19 patients to analyze their serum data. Data related to 2319 patients from 20 studies were analyzed. In the mild/severe group, zinc deficiency was associated with the degree of severe disease (SMD = 0.50, 95% CI 0.32-0.68, I2 = 50.5%) and we got an Egger's test of p = 0.784; but selenium deficiency was not associated with the degree of severe disease (SMD = -0.03, 95% CI -0.98-0.93, I2 = 96.7%). In the surviving/death group, zinc deficiency was not associated with mortality of COVID-19 (SMD = 1.66, 95%CI -1.42-4.47), nor was selenium (SMD = -0.16, 95%CI -1.33-1.01). In the risk group, zinc deficiency was positively associated with the prevalence of COVID-19 (SMD = 1.21, 95% CI 0.96-1.46, I2 = 54.3%) and selenium deficiency was also positively associated with the prevalence of it (SMD = 1.16, 95% CI 0.71-1.61, I2 = 58.3%). Currently, serum zinc and selenium deficiencies increase the incidence of COVID-19 and zinc deficiency exacerbates the disease; however, neither zinc nor selenium was associated with mortality in patients with COVID-19. Nevertheless, our conclusions may change when new clinical studies are published.

Rhabdomyolysis in Critically Ill Patients With COVID-19: A Retrospective Study.

The total number of ICU admissions for COVID-19 patients has increased steadily. Based on the research team's clinical observations, many patients developed rhabdomyolysis, but few cases were reported in the literature. This study explores the incidence of rhabdomyolysis and its outcomes, like mortality, the need for intubation, acute kidney injury, and the need for renal replacement therapy (RRT). We retrospectively reviewed the characteristics and outcomes of patients admitted to the ICU at a COVID-19-designated hospital in Qatar between March and July 2020. Logistic regression analysis was used to determine factors associated with mortality. 1079 patients with COVID-19 were admitted to the ICU, and 146 developed rhabdomyolysis. Overall, 30.1% died (n = 44), and 40.4% developed Acute Kidney Injury (AKI) (n = 59), with only 19 cases (13%) recovering from the AKI. AKI was significantly associated with increased mortality rates among rhabdomyolysis patients. Moreover, significant differences were found between groups regarding the subject's age, calcium level, phosphorus level, and urine output. However, the AKI was the best predictor of mortality for those who got the COVID-19 infection and rhabdomyolysis. Rhabdomyolysis increases the risk of death in COVID-19 patients admitted to the ICU. The strongest predictor of a fatal outcome was acute kidney injury. The findings of this study emphasize the importance of early identification and prompt treatment of rhabdomyolysis in patients with severe COVID-19.

The Value of Cardiac Biomarkers in Predicting in-Hospital Death in COVID-19 Patients

Given the strong evidence of direct invasion of coronavirus to myocardial tissue, as well as increasing the patient's susceptibility to inflammatory and thrombotic phenomena, it has been hypothesized that elevated levels of cardiac enzymes can predict disease severity and its poor prognosis. We aimed to determine the value of cardiac prognostic biomarkers along with other laboratory parameters in predicting in-hospital mortality of COVID-19 patients. This prospective study was performed on 30 consecutive patients with the definitive diagnosis of severe COVID-19. On admission, along with recording demographic characteristics, intravenous blood samples were extracted from the patients after at least 8 hours of fasting to evaluate other laboratory parameters. Comparing laboratory parameters across the survived and non-survived groups showed significantly higher mean CK-MB level in non-survived group than alive group (70.90±29.79 versus 43.56±22.02, P=0.020). Also, positive troponin I was reported in 38.1% of non-survived group, while in none of the patients in survived group (P=0.031). Using the logistic regression model, raised CK-MB could effectively predict in-hospital death among COVID-19 patients (OR=1.047, P=0.043). Area under the ROC curve analysis showed high value of raised CK-MB for predicting in-hospital death among COVID-19 patients. Raised CK-MB level on admission can predict in-hospital death in patients with severe COVID-19.

Cellular Immune Profiling of Lung and Blood Compartments in Patients with SARS-CoV-2 Infection.

SARS-CoV-2 related immunopathology may be the driving cause underlying severe COVID-19. Through an immunophenotyping analysis on paired bronchoalveolar lavage fluid (BALF) and blood samples collected from mechanically ventilated patients with COVID-19-associated Acute Respiratory Distress Syndrome (CARDS), this study aimed to evaluate the cellular immune responses in survivors and non-survivors of COVID-19. A total of 36 paired clinical samples of bronchoalveolar lavage fluid (BALF) mononuclear cells (BALF-MC) and peripheral blood mononuclear cells (PBMC) were collected from 18 SARS-CoV-2-infected subjects admitted to the intensive care unit (ICU) of the Policlinico Umberto I, Sapienza University Hospital in Rome (Italy) for severe interstitial pneumonia. The frequencies of monocytes (total, classical, intermediate and non-classical) and Natural Killer (NK) cell subsets (total, CD56bright and CD56dim), as well as CD4+ and CD8+ T cell subsets [naïve, central memory (TCM) and effector memory (TEM)], and those expressing CD38 and/or HLADR were evaluated by multiparametric flow cytometry. Survivors with CARDS exhibited higher frequencies of classical monocytes in blood compared to non-survivors (p < 0.05), while no differences in the frequencies of the other monocytes, NK cell and T cell subsets were recorded between these two groups of patients (p > 0.05). The only exception was for peripheral naïve CD4+ T cells levels that were reduced in non-survivors (p = 0.04). An increase in the levels of CD56bright (p = 0.012) and a decrease in CD56dim (p = 0.002) NK cell frequencies was also observed in BALF-MC samples compared to PBMC in deceased COVID-19 patients. Total CD4+ and CD8+ T cell levels in the lung compartment were lower compared to blood (p = 0.002 and p < 0.01, respectively) among non-survivors. Moreover, CD38 and HLA-DR were differentially expressed by CD4+ and CD8+ T cell subsets in BALF-MC and in PBMC among SARS-CoV-2-infected patients who died from COVID-19 (p < 0.05). These results show that the immune cellular profile in blood and pulmonary compartments was similar in survivors and non-survivors of COVID-19. T lymphocyte levels were reduced, but resulted highly immune-activated in the lung compartment of patients who faced a fatal outcome.

ABC-GOALScl score predicts admission to the intensive care unit and mortality of COVID-19 patients over 60 years of age

BackgroundOne of the risk factors for getting seriously ill from COVID-19 and reaching high mortality rates is older age. Older age is also associated with comorbidities, which are risk factors for severe COVID-19 infection. Among the tools that have been evaluated to predict intensive care unit (ICU) admission and mortality is ABC-GOALScl.AimIn the present study we validated the utility of ABC-GOALScl to predict in-hospital mortality in subjects over 60 years of age who were positive for SARS-CoV-2 virus at the moment of admission with the purpose of optimizing sanitary resources and offering personalized treatment for these patients.MethodsThis was an observational, descriptive, transversal, non-interventional and retrospective study of subjects (≥ 60 years of age), hospitalized due to COVID-19 infection at a general hospital in northeastern Mexico. A logistical regression model was used for data analysis.ResultsTwo hundred forty-three subjects were included in the study, whom 145 (59.7%) passed away, while 98 (40.3%) were discharged. Average age was 71, and 57.6% were male. The prediction model ABC-GOALScl included sex, body mass index, Charlson comorbidity index, dyspnea, arterial pressure, respiratory frequency, SpFi coefficient (Saturation of oxygen/Fraction of inspired oxygen ratio), serum levels of glucose, albumin, and lactate dehydrogenase; all were measured at the moment of admission. The area under the curve for the scale with respect to the variable of discharge due to death was 0.73 (IC 95% = 0.662—0.792).ConclusionThe ABC-GOALScl scale to predict ICU admission in COVID-19 patients is also useful to predict in-hospital death in COVID-19 patients ≥ 60 years old.

Patient Factors Associated with Death of COVID-19 Patients in an Urban Emergency Department

Patient Factors Associated with Death of COVID-19 Patients in an Urban Emergency Department

Factors Affecting Duration of Hospital Stay in Deceased COVID-19 Patients.

Extensive research has been conducted to identify the predictive criteria for COVID-19 disease. White blood cell, C-reactive protein, CRP/albumin ratio, neutrophil-to-lymphocyte ratio and ferritin are among the indicators of increased inflammatory response; hence, they could be used to determine the prognosis of COVID-19 cases. Within the scope of this study, we aimed to elucidate the predictivity of NLR, CAR and other laboratory parameters on the duration of hospital stay and mortality in patients with COVID-19. The data of 1516 COVID-19 patients who were hospitalized in our institution have been analyzed retrospectively. Patients were divided into two groups those who deceased within the first 10 days of hospitalization (Group I, ≤10 days) and those who deceased in the later period (Group II, >10 days). Age, gender, time to mortality after hospitalization, neutrophil count, CRP, neutrophil-to-lymphocyte ratio (NLR), CRP/albumin ratio (CAR), and d-dimer values were obtained from blood samples taken during hospitalization. NLR and CAR values were significantly higher in those who died in the first 10 days compared to the other group (p<0.02 and p<0.001, respectively). In addition, WBC, neutrophil, CRP and d-dimer levels were statistically significantly higher than the other group (p<0.05). Logistic regression analysis results for NLR and CAR were significant. The cut-off values were calculated (5.74 and 4.27, respectively) for both parameters. Among the most common comorbid diseases were hypertension (HT) in 41%, coronary artery disease (CAD) in 41.7%, asthma-chronic obstructive pulmonary disease (COPD) in 36.7%, diabetes mellitus (DM) in 36.1%. NLR and CAR may have a decisive influence in determining the length of stay in hospital for patients who die in hospital due to COVID-19. In addition, it is recommended that COVID-19 cases with diabetes be followed closely.

HEMOPHAGOCYTOSIS IN THE RED BONE MARROW OF PATIENTS WITH COVID-19 WITH SARS-COV-2 INFECTION

Red bone marrow samples investigation in deceased COVID-19 patients enabled to identify the phenomena of secondary hemophagocytosis. Analysis of the data showed that phagocytic reactions during infection of patients with SARS-CoV-2 are manifested both in relation to erythrocytes and leukocytes. The data obtained make it possible to expand the strategy of therapeutic measures, taking into account the new data on the mechanisms of the pathogenesis of COVID-19 in severe viral infection based on morphological findings and additional information on the involvement of young erythrocytes and lymphocytes in the structure of the red bone marrow in the cascade of pathological reactions. The results obtained confirm a wide range of aggressive damaging effects of SARS-CoV-2 in the development of multiple organ failure against the background of COVID-19 and the involvement of the red bone marrow in the pathological process. The authors supplemented information about the mechanisms of hypoxia in COVID-19, which is not only a consequence of damage to the respiratory epithelium, but also the result of damage to erythrocyte differons both at the level of red bone marrow and in peripheral blood. This fact must be taken into account in the development of a treatment strategy and in the creation of new drugs for the treatment of infected patients with various strains of SARS-CoV-2.

High SARS-CoV-2 tropism and activation of immune cells in the testes of non-vaccinated deceased COVID-19 patients

BackgroundCellular entry of SARS-CoV-2 has been shown to rely on angiotensin-converting enzyme 2 (ACE2) receptors, whose expression in the testis is among the highest in the body. Additionally, the risk of mortality seems higher among male COVID-19 patients, and though much has been published since the first cases of COVID-19, there remain unanswered questions regarding SARS-CoV-2 impact on testes and potential consequences for reproductive health. We investigated testicular alterations in non-vaccinated deceased COVID-19-patients, the precise location of the virus, its replicative activity, and the immune, vascular, and molecular fluctuations involved in the pathogenesis.ResultsWe found that SARS-CoV-2 testicular tropism is higher than previously thought and that reliable viral detection in the testis requires sensitive nanosensors or RT-qPCR using a specific methodology. Through an in vitro experiment exposing VERO cells to testicular macerates, we observed viral content in all samples, and the subgenomic RNA’s presence reinforced the replicative activity of SARS-CoV-2 in testes of the severe COVID-19 patients. The cellular structures and viral particles, observed by transmission electron microscopy, indicated that macrophages and spermatogonial cells are the main SARS-CoV-2 lodging sites, where new virions form inside the endoplasmic reticulum Golgi intermediate complex. Moreover, we showed infiltrative infected monocytes migrating into the testicular parenchyma. SARS-CoV-2 maintains its replicative and infective abilities long after the patient’s infection. Further, we demonstrated high levels of angiotensin II and activated immune cells in the testes of deceased patients. The infected testes show thickening of the tunica propria, germ cell apoptosis, Sertoli cell barrier loss, evident hemorrhage, angiogenesis, Leydig cell inhibition, inflammation, and fibrosis.ConclusionsOur findings indicate that high angiotensin II levels and activation of mast cells and macrophages may be critical for testicular pathogenesis. Importantly, our findings suggest that patients who become critically ill may exhibit severe alterations and harbor the active virus in the testes.

D-dimer levels in non-COVID-19 ARDS and COVID-19 ARDS patients: A systematic review with meta-analysis.

Hypercoagulability and thrombo-inflammation are the main reasons for death in COVID-19 patients. It is unclear whether there is a difference between D-dimer levels in patients without or with COVID-19 acute respiratory distress syndrome (ARDS). We searched PubMed, EMBASE, and ClinicalTrails.gov databases looking for studies reporting D-dimer levels in patients without or with COVID-19 ARDS. Secondary endpoints included length of hospital stay, and mortality data at the longest follow-up available. We included 12 retrospective and 3 prospective studies with overall 2,828 patients, of whom 1,404 (49.6%) had non-COVID-19 ARDS and 1,424 had COVID-19 ARDS. D-dimer levels were not significantly higher in non-COVID-19 ARDS than in COVID-19 ARDS patients (mean 7.65 mg/L vs. mean 6.20 mg/L MD 0.88 [CI: -0.61 to 2.38] p = 0.25; I² = 85%) while the length of hospital stay was shorter (non-COVID-19 mean 37.4 days vs. COVID-19 mean 48.5 days, MD -10.92 [CI: -16.71 to -5.14] p < 0.001; I² = 44%). No difference in mortality was observed: non-COVID-19 ARDS 418/1167 (35.8%) vs. COVID-19 ARDS 467/1201 (38.8%). We found no difference in the mean D-dimer levels between non-COVID-19 ARDS and COVID-19 ARDS patients.

Contribution of genotypes in Prothrombin and Factor V Leiden to COVID-19 and disease severity in patients at high risk for hereditary thrombophilia.

Thrombotic and microangiopathic effects have been reported in COVID-19 patients. This study examined the contribution of the hereditary thrombophilia factors Prothrombin (FII) and Factor V Leiden (FVL) genotypes to the severity of COVID-19 disease and the development of thrombosis. This study investigated FII and FVL alleles in a cohort of 9508 patients (2606 male and 6902 female) with thrombophilia. It was observed that 930 of these patients had been infected by SARS-CoV-2 causing COVID-19. The demographic characteristics of the patients and their COVID-19 medical history were recorded. Detailed clinical manifestations were analyzed in a group of cases (n = 4092). This subgroup was age and gender-matched. FII and FVL frequency data of healthy populations without thrombophilia risk were obtained from Bursa Uludag University Medical Genetic Department's Exome Databank.The ratio of males (31.08%; 27.01%) and the mean age (36.85 ± 15.20; 33.89 ± 14.14) were higher among COVID-19 patients compared to non-COVID-19 patients. The prevalence of FVL and computerized tomography (CT) positivity in COVID-19 patients was statistically significant in the thrombotic subgroup (p < 0.05). FVL prevalence, CT positivity rate, history of thrombosis, and pulmonary thromboembolism complication were found to be higher in deceased COVID-19 patients (p < 0.05). Disease severity was mainly affected by FVL and not related to genotypes at the Prothrombin mutations. Overall, disease severity and development of thrombosis in COVID-19 are mainly affected by the variation within the FVL gene. Possible FVL mutation should be investigated in COVID-19 patients and appropriate treatment should be started earlier in FVL-positive patients.

Prevalence of covid-19 among patients with chronic obstructive pulmonary disease and tuberculosis

Background The exhaustive information about non-communicable diseases associated with COVID-19 and severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) are getting easier to find in the literature. However, there is a lack of knowledge regarding tuberculosis (TB) and chronic obstructed pulmonary disease (COPD), with numerous infections in COVID-19 patients. Objectives Priority is placed on determining the patient’s prognosis based on the presence or absence of TB and COPD. Additionally, a comparison is made between the risk of death and the likelihood of recovery in terms of time in COVID-19 patients who have either COPD or TB. Methodology At the DHQ Hospital in Muzaffargarh, Punjab, Pakistan, 498 COVID-19 patients with TB and COPD were studied retrospectively. The duration of study started in February 2022 and concluded in August 2022. The Kaplan–Meier curves described time-to-death and time-to-recovery stratified by TB and COPD status. The Wilcoxon test compared the survival rates of people with TB and COPD in two matched paired groups and their status differences with their standard of living. Results The risk of death in COVID-19 patients with TB was 1.476 times higher than in those without (95% CI: 0.949–2.295). The recovery risk in COVID-19 patients with TB was 0.677 times lower than in those without (95% CI: 0.436–1.054). Similarly, patients with TB had a significantly shorter time to death (p=.001) and longer time to recovery (p=.001). Conclusions According to the findings, the most significant contributor to an increased risk of morbidity and mortality in TB and COPD patients was the COVID-19. KEY MESSAGES SARS-Cov-19 is a new challenge for the universe in terms of prevention and treatment for people with tuberculosis and chronic obstructive pulmonary disease, among other diseases. Propensity score matching to control for potential biases. Compared to hospitalized patients with and without (TB and COPD) had an equivalently higher mortality rate.

Obesity and Mortality of Hospitalized COVID-19 Patients in Asian and Western Countries: A Systematic Review and Meta-Analysis.

The authorities recently emphasized the importance of dietary control for COVID-19 patients in hospitals. However, there is limited detail about the obesity and death of COVID-19 patients who are hospitalized in the Asian and Western countries. The aim of this study was to find the role of obesity and mortality of the hospitalized COVID-19 patients. A systematic review of the studies on obesity and mortality of hospitalized COVID.19 patients in the Asian and western countries. Databases of ProQuest, PubMed, and EBSCO were used to find relevant articles published between January 2020 and March 2021. A total of 3,70,836 patients in 17 studies were included. Results: We found significant correlation between obesity and mortality in hospitalized COVID-19 patients (pooled odds ratio [POR] = 1.28, 95% CI: 1.23-1.33). In particular, this study demonstrated that the Asian countries had higher POR (1.44, 95% CI: 1.16-1.79) compared to the western countries (1.28, 95%CI: 1.23-1.33). The heterogeneity calculation showed heterogenous among studies included (I2 > 50%). The mortality of COVID-19-hospitalized patients is related to obesity, which requires a multi-stakeholder mitigation approach to avoid and control obesity and its impacts. The mortality of COVID-19-hospitalized patients is related to obesity, which requires a multi-stakeholder mitigation approach to avoid and control obesity and its impacts.

The landscape of abnormal pathway activation confers COVID-19 patients' molecular sequelae earlier than clinical phenotype

Rationale: The 2019 coronavirus disease (COVID-19) pandemic poses a significant threat to human health. After SARS-CoV-2 infection, major clinical concerns are organ damage and possible sequelae. Methods: In this study, we analyzed serum multi-omics data based on population-level, including healthy cohort, non-COVID-19 and COVID-19 covered different severity cohorts. We applied the pseudo-SpatioTemporal Consistency Alignment (pST-CA) strategy to correct for individualized disease course differences, and developed pseudo-deterioration timeline model and pseudo-recovery timeline model based on the "severe index" and "course index". Further, we comprehensively analyzed and discussed the dynamic damage signaling in COVID-19 deterioration and/or recovery, as well as the potential risk of sequelae. Results: The deterioration and course models based on the pST-CA strategy can effectively map the activation of blood molecular signals on cellular, pathway, functional and disease phenotypes in COVID-19 deterioration and throughout the disease course. The models revealed the neurological, cardiovascular, and hepatic toxicity present in SARS-CoV-2. The abundance of differentially expressed proteins and the activity of upstream regulators were comprehensively analyzed and evaluated to predict possible target drugs for SARS-CoV-2. On molecular docking simulation analysis, it was further demonstrated that blocking CEACAM1 is a potential therapeutic target for SARS-CoV-2. Conclusions: Clinically, the risk of organ failure and death in COVID-19 patients rises with increasing number of infections. Individualized sequelae prediction for patients and assessment of individualized intervenable targets and available drugs in combination with the upstream regulator analysis results are of great clinical value.

Perceived stress and coping strategies among emergency department nurses and emergency medical services staff during the fifth wave of COVID-19 in Iran: A cross-sectional correlational study

Background and PurposeEmergency department (ED) nurses and emergency medical services (EMS) staff as the main parts of care on the front line of treatment during the outbreak of COVID-19 experienced great challenges in their work and life, which caused them a lot of stress. Since limited studies have investigated perceived stress and coping strategies among ED nurses and EMS staff in Iran, this study was conducted to investigate perceived stress and coping strategies among ED nurses and EMS staff during the outbreak of the fifth wave of COVID-19 in Ardabil, Iran. Materials and methodsThis descriptive-analytical cross-sectional study was conducted on 327 ED nurses and EMS staff in 2021. The samples were selected by convenient sampling method, and data were collected by demographic and perceived stressors and coping strategies against the outbreak of COVID-19 questionnaires. Data were analyzed by SPSS (version 22) using descriptive (frequency, percentage, mean, and standard deviation) and analytical (Pearson correlation, t-test, and ANOVA) statistical tests and multiple linear regression analysis. ResultsThe most stressful factors were related to the transmission of the disease to the family and seeing the death of COVID-19 patients in front of their eyes. The most commonly used coping strategies were strict personal protective measures for all hospitalized patients and the use of clothes that the hospital prepared separately to reduce the transmission of the virus. The results of multiple linear regression showed employees' emotions (β = 0.429, p < 0.001), gender (β = 0.225, p < 0.001), coping strategies (β = 0.209, p < 0.001), stress-reducing factors (β = 0.124, p = 0.014), worry (β = −0.182, p < 0.001), and workplace (β = -0.149, p = 0.045) were effective predictors of perceived stress. ConclusionCoping methods such as following strict personal protective measures, using special clothes, and seeing the recovery status of patients and colleagues were effective factors in reducing the perceived stress of health workers. Therefore, it is necessary to provide health workers with training on coping strategies and psychological support in the current crisis and possible epidemics in the future.

Association between multimorbidity, intensive care unit admission, and death in patients with COVID-19 in Brazil: a cross-section study, 2020.

Multimorbidity can influence intensive care unit (ICU) admissions and deaths due to coronavirus disease (COVID-19). To analyze the association between multimorbidity, ICU admissions, and deaths due to COVID-19 in Brazil. This cross-sectional study was conducted using data from patients with severe acute respiratory syndrome (SARS) due to COVID-19 recorded in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) in 2020. Descriptive and stratified analyses of multimorbidity were performed based on sociodemographic, ventilatory support, and diagnostic variables. Poisson regression was used to estimate the prevalence ratios. We identified 671,593 cases of SARS caused by COVID-19, of which 62.4% had at least one morbidity. Multimorbidity was associated with male sex, age 60-70 and ≥ 80 years, brown and black skin color, elementary education and high school, ventilatory support, and altered radiologic exams. Moreover, all regions of the country and altered computed tomography due to COVID-19 or other diseases were associated with death; only the northeast region and higher education were associated with ICU admission. Our results showed an association between multimorbidity, ICU admission, and death in COVID-19 patients in Brazil.

Explainable learning to analyze the outcome of COVID-19 patients using clinical data

Patients at high risk of contracting COVID-19 require specialized monitoring throughout their illness to ensure optimal treatment at each stage. To support this monitoring, Computer-Aided Diagnosis (CAD) methods analyze clinical data to estimate the most likely outcome for each patient, using various clinical variables such as symptoms, medical history, and laboratory results to predict outcomes. Despite the numerous proposals for COVID-19 diagnosis using CAD methods, the lack of explainability in many machine learning models poses a challenge in incorporating these methods into clinical practice. Additionally, other crucial tasks such as estimating the risk of death or severe forms of the disease must be considered to identify cases that require greater monitoring. To overcome these challenges, we propose an explainable methodology for estimating the risk of hospitalization and death in COVID-19 patients using clinical data. Our methodology employs four machine learning algorithms, three feature selection methods, and a decision tree to provide explainability. Our approach achieves an accuracy of 86.16% + 0.74% for the estimation of hospitalization risk with 29 features, and an accuracy of 86.40% + 1.80% for the estimation of the risk of death with 26 features. Moreover, our methodology provides valuable insights into the relationship between clinical variables and patient outcomes, which can inform more robust and informed clinical decision-making and improve our understanding of the disease. We demonstrate the potential of our transparent and effective CAD methods to support clinical decision-making in COVID-19 patient care and further research, offering a promising solution to overcome the challenges in incorporating CAD methods into clinical practice.

Radiological Features in Deceased COVID-19 Patients at a Hospital in Bandung

COVID-19 attacks the respiratory system, especially the lung. Therefore, it is necessary to examine the lung radiology of COVID-19 patients to plan the best treatment. This study aimed to describe radiological features in deceased patients at a hospital in Bandung, Indonesia. This study uses secondary data from the medical records of deceased COVID-19 patients from December 2020 to February 2021. Amongst the 129 patients who died whilst hospitalized, their chest X-ray showed pneumonia consisting of ground glass opacities (GGO) and consolidated lesions. The mean distribution of lesions was unilateral in 3 (2.33%) and bilateral in 126 (97.67%). In comparison, peripheral lesions were found in 80 (62.02%), and peripheral-medial lesions were found in 49 (37.98%). The mean of the lesions affecting the upper lung fields were 2.63 (DS 1.19), the middle lung fields were 4.39 (DS 1.82), and the lower lung fields were 4.88 (DS 1.53). When admitted to the isolation ward, the average Brixia score on a chest X-ray was 11.9 (95% CI 12.74; 11.16). In conclusion, the radiological features of COVID-19 patients who died under treatment showed ground glass opacities and consolidated lesions. The predominant distribution was on bilateral, peripheral, and lower lesions with a high Brixia score.&#x0D; Keywords: COVID-19, mortality, the brixia score.

259. Comparison of the causes of death in patients with delta variant versus omicron variant infections

Abstract Background Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) variant strain B.1.1.529 (omicron) has been less virulent than SARS-CoV-2 B.1.617.2 variant (delta), but there are limited data on the comparison of the cause of death between delta variant and omicron variant infections. We thus compared the causes of death in COVID-19 patients with the delta variant and omicron variant. Methods We retrospectively reviewed the medical records of adult patients with COVID-19 who were admitted at Asan Medical Center, Seoul, South Korea, between July 2021 and March 2022. We divided into delta-variant dominant period (from July 2021 to December 2021) and omicron-dominant period (from February 2022 to March 2022) with the exclusion of January 2022 because this period was overlapping of delta and omicron variant. The causes of death were classified into COVID-19-associated pneumonia, other causes, and indeterminate cause. Results A total of 654 patients with COVID-19 were admitted and 42 (6.4%) died during the omicron dominant period (between February and March 2022), while a total of 366 patients with COVID-19 were hospitalized and 42 (11.5%) died during the delta dominant period (between July and December 2021). The primary cause of death was COVID-19-associated pneumonia in 64% (27/42) during the omicron era whereas that was COVID-19-associated pneumonia in 88% (37/42) during the delta era (p value=0.01) (Table 1). Conclusion We found that about two thirds of patients with omicron variant infection died due to COVID-19, while the majority of patients with delta variant infection died due to COVID-19. Disclosures All Authors: No reported disclosures.

Piloting Group-Based Behavioral Activation Therapy for Families of Deceased COVID-19 Patients.

This study piloted an online group-based behavioral intervention with family members of deceased COVID-19 patients. Participant engagement, perceptions, and responses related to the intervention were assessed. A single-arm pilot study was conducted with bereaved families. Quantitative analysis of measures of anxiety, depression, and PTSD symptoms was conducted with mixed models. Qualitative data were analyzed to identify themes in surrogates' experiences with the intervention. Participants were recruited from ICUs at a tertiary academic medical center. Participants completed the intervention, measures, and interviews online. Participants were family members of patients who died from COVID-19. The intervention involved six online group-based behavioral activation sessions. Sessions covered topics pertinent to grieving and engagement in personally meaningful activities. Semi-structured interviews explored participants' experiences with the intervention. Surrogates also completed measures of anxiety, depression, and PTSD symptoms before and after the intervention. Nineteen of 26 participants (73.1%) completed the study. Thematic analysis suggested that surrogates found the group helpful for overcoming perceived isolation, receiving validation, and developing coping skills. Significant pre-to-post reductions were observed in symptoms of Hospital and Anxiety Disorder Scale (HADS) anxiety (pre-mean = 9.27, sd = 5.30 vs post-mean = 6.80, sd = 4.16; p = 0.0271), HADS depression (pre-mean =6 .65, sd = 4.58 vs post- mean = 4.89, sd = 3.40; p = 0.0436), and Impact of Events Scale-Revised PTSD (pre-mean = 36.86, sd = 16.97 vs post-mean = 24.14, sd = 13.49; p = 0.0008). This was a preliminary study based on qualitative and self-report measures. Future studies should include a control group. Online group-based behavioral activation therapy appears to be a potentially useful intervention for family members of ICU patients who died from COVID-19.