INTRODUCTION

It is anticipated that Chronic Obstructive Pulmonary Disease (COPD) has greater risk in acquiring COVID-19 infection and poorer outcome. However, current worldwide data are conflicting.

This study primarily aims to compare the outcomes of COVID-19 patients with COPD and those without COPD in terms of length of hospital stay (LOS), recovery or mortality, treatment received, and predictors of mortality.

This is a retrospective cohort chart review of 1,017 admitted adult COVID-19 patients from July to December 2020. Age, gender, smoking status, current control and medications for COPD, COVID-19 severity, symptoms, treatment, and outcomes of the two study groups were compared.

Prevalence rate of COPD was 3.8%. COVID-19 patients with COPD were older (median age of 69 vs 54, pCONCLUSION

COPD increases the risk for severe COVID-19 and lengthens LOS.

BACKGROUND AND OBJECTIVES

A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation.

This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.

The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cutoff cHIS scores.

Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.

Objective To analyze the influencing factors of death in the elderly with coronavirus disease 2019(COVID-19).Methods The case data of death caused by COVID-19 in West China Fourth Hospital from January 1 to July 8,2023 were collected,and surviving cases from the West China Elderly Health Cohort infected with COVID-19 during the same period were selected as the control.LASSO-Logistic regression was adopted to analyze the data after propensity score matching and the validity of the model was verified by drawing the receiver operating characteristic curve.Results A total of 3 239 COVID-19 survivors and 142 deaths with COVID-19 were included.The results of LASSO-Logistic regression showed that smoking(OR=3.33,95%CI=1.46-7.59,P=0.004),stroke(OR=3.55,95%CI=1.15-10.30,P=0.022),malignant tumors(OR=19.93, 95%CI=8.52-49.23, P<0.001),coronary heart disease(OR=7.68, 95%CI=3.52-17.07, P<0.001),fever(OR=0.51, 95%CI=0.26-0.96, P=0.042),difficulty breathing or asthma symptoms(OR=21.48, 95%CI=9.44-51.95, P<0.001),and vomiting(OR=8.19,95%CI=2.87-23.58, P<0.001)increased the risk of death with COVID-19.The prediction model constructed based on the influencing factors achieved an area under the curve of 0.889 in the test set.Conclusions Smoking,stroke,malignant tumors,coronary heart disease,fever,breathing difficulty or asthma symptoms,and vomiting were identified as key factors influencing the death risk in COVID-19.
Humans ; COVID-19/mortality* ; Aged ; Propensity Score ; China/epidemiology* ; Risk Factors ; Logistic Models ; Smoking ; SARS-CoV-2 ; Male ; Female ; Stroke ; Neoplasms

BACKGROUND

Remdesivir is an intravenously administered antiviral drug that inhibits RNA-dependent RNA polymerase. In vitro studies have shown that remdesivir can inhibit the growth of the COVID-19 virus in infected Vero cells and can inhibit infection in human cell lines.

To determine the efficacy and safety of remdesivir in treating patients with COVID-19 infection.

A systematic search of electronic medical literature databases was done from inception until September 4, 2022. Search for ongoing studies and preprints was also done. Risk of bias assessment was done using Cochrane risk of bias tool version 2.0. Measures of effect used were relative risk (RR) and 95% confidence interval (CI). Subgroup analysis by disease severity was preplanned. The estimates for efficacy and safety of remdesivir was calculated using Review Manager 5.4 software.

Nine randomized controlled trials with 13,085 participants were identified. Eight of the included studies recruited confirmed COVID-19 patients needing hospitalization, while one study limited recruitment to nonhospitalized patients. Remdesivir showed significant benefit for outpatients with mild to moderate disease with at least one risk factor for disease progression in terms of COVID 19-related hospitalization (RR 0.13 95% CI 0.03 to 0.59), all-cause hospitalization (RR 0.28, 95% CI 0.10 to 0.75), and need for medically-attended visits (RR 0.19, 95% CI 0.07 to 0.56). For hospitalized patients, remdesivir had a slight benefit in reducing all-cause mortality at day 28 (RR 0.90, 95% CI 0.83 to 0.98). Subgroup analysis by disease severity showed a trend towards reduction in mortality among those with severe disease (RR 0.61, 95% CI 0.35 to 1.07), with no effect on those with critical disease (RR 0.96, 95% CI 0.87 to 1.04), and inconclusive effect for those with mild-moderate disease (RR 0.74, 95% CI 0.49 to 1.11). Remdesivir showed benefit in decreasing clinical deterioration (RR 0.75, 95% CI 0.61 to 0.89), improving recovery rate (RR 1.07, 95% CI 1.01 to 1.13), and reducing the need for mechanical ventilation (RR 0.68, 95% CI 0.51 to 0.90). There was inconclusive effect on the need for ICU admission (RR 0.98, 95% CI 0.43 to 2.22). No increased risk of adverse events (RR 0.98, 95% CI 0.91 to 1.06), including serious adverse events (RR 0.77, 95% CI 0.57 to 1.03), was seen.

Based on the available evidence, remdesivir shows benefit in the treatment for patients with mild, moderate, and severe COVID-19 infection. However, there was no benefit in mortality noted among those with critical disease requiring mechanical ventilation. Remdesivir demonstrated a good safety profile, with no increased risk of adverse events compared to control. These results are consistent with the international agencies’ recommendations for the use of remdesivir among patients with mild, moderate or severe COVID-19 infection, but not for those with critical infection.

Current evidence supports the use of remdesivir as treatment for selected patients with COVID-19.

BACKGROUND

The coronavirus disease (COVID-19) is a global pandemic that caused millions of deaths worldwide. There is no standard risk stratification score for COVID 19 pneumonia. This study aims to determine the accuracy of the MuLBSTA score in predicting the risk of mortality in COVID-19 confirmed moderate to critical pneumonia cases.

A total of 168 COVID-19-confirmed moderate to critical pneumonia patients admitted at Cardinal Santos Medical Center from January 1, 2021 to April 30, 2021 were included by chart review. The MuLBSTA score was determined for each patient using the following information: age, smoking history, co-morbidities, complete blood count, sputum culture, blood culture, chest xray and chest CT scan. All clinical outcomes were based on patient status by the end of the hospital stay (survival versus death). Thereafter, logistic regression was done using the MuLBSTA score and mortality to determine any correlation. In addition, modified regression was used to find any correlation with the MuLBSTAscore and patient co-morbidities as predictors of mortality. Chi-square tests of independence were conducted to assess the specific cut-off values of the MuLBSTAscore in predicting mortality.

The MuLBSTAscore is a significant predictor of mortality (73.08%) and survivability (66.67%). It was determined that the MuLBSTA score's accuracy in predicting mortality increases with diabetics [b = .26, p < .05]. In addition, the intervention of hemoperfusion can skew the predictive accuracy of the scoring [b = -.45, p <.01]. The study showed that a MuLBSTA score of 8 as a cut-off value to delineate high risk patients was more accurate in COVID-19 pneumonia patients compared to the previously established score cut-off of 12 in viral pneumonia [1].

The MuLBSTA score may be used for risk stratification in predicting mortality in COVID-19 pneumonia, especially among diabetic patients. A MuLBSTA score of 8 proves to be the more accurate cut-off in assessing risk of mortality in COVID-19. However, hemoperfusion makes the MulBSTAscore inapplicable.

INTRODUCTION COVID-19 (coronavirus disease 2019), which is caused by the human severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), has reached a pandemic level. As a novel disease, local epidemiologic data are important to determine high-risk age groups, as well as risk factors that contribute to mortality. This study is a retrospective cohort study of 182 COVID-19–positive patients confirmed by real-time polymerase chain reaction. Baseline demographics and data on the preexisting cardiovascular comorbidities of 182 COVID-19 patients were collected by chart review and underwent statistical analysis using STATA 14 software (StataCorp, College Station, Texas). In the study, the majority of COVID-19 patients were 61 years or older (44.5%), with a higher prevalence of individuals 61 years or older among those who died (68.4%) compared with survivors (38.2%) (P = 0.005). In terms of gender, half of the patients were male (57.7%). In terms of cardiovascular disease, the most prevalent was hypertension (48.3%), followed by diabetes (28.0%). The prevalence of coronary artery disease (CAD) was significantly higher among patients who died (15.8%) compared with survivors (2.8%) (P = 0.022). In the univariate logistic regression analysis, older age was significantly associated with increased odds for mortality (odds ratio, 1.06; 95% confidence interval, 1.03–1.09). In terms of comorbidities, having CAD was significantly associated with increased odds for mortality (odds ratio, 6.6; 95% confidence interval, 1.7–24.6). Other variables were not significantly associated with mortality. In our study, advanced age and the presence of underlying CAD have been associated with an increased risk of in-hospital mortality among COVID-19 patients.
Cardiovascular Diseases ; COVID-19 ; mortality ; Sex

Background: The prevalence of confirmed cases of COVID-19 is high and tends to continue to increase in Indonesia. Based on data, the Province of South Kalimantan, Indonesia in early mid-2021 experienced a high spike in cases, resulting in a large number of deaths, especially in Banjar Regency. Active COVID-19 cases in South Kalimantan in July 2021 were recorded at 5,279 (12.41%) out of 42,527 positive cases. Data compiled from the COVID-19 Task Force (Satgas) showed that Banjar Regency was the third highest area of the cumulative number of deaths, with as many as 47 people dying in one day. The results of many research on risk factors for COVID-19 cases vary widely. People with comorbidities are a very vulnerable group. Objective: This study aims to identify the relationship between comorbid conditions and death based on data from COVID-19 admission in the Wetland Environment community in Banjar Regency, South Kalimantan, Indonesia in the years 2020-2021. Methods: This is a retrospective analytical observational study which used purposive sampling. The data were collected from the case form report (CFR). The dependent variable in this study was inpatients at Ratu Zaleha Hospital who died and were diagnosed as positive for COVID-19, while the independent variables were age (productive/non-productive), tuberculosis, hypertension, diabetes mellitus, asthma, pneumonia, heart disease, COPD (lung disease), HIV/AIDS, chronic kidney disease (CKD), and stroke (CVA). Data were analyzed by univariate, bivariate, and multivariate analyses with logistic regression method to obtain adjusted OR. Results: Out of 700 patients with confirmed COVID-19 infection, 273 (39%) had no comorbidity while 427 (61%) had at least one comorbid condition. There were 330 (47.1%) male patients and 370 (52.9%) female patients. There were 565 (80.7%) patients who belong in the productive age and 135 (19.35%) in the nonproductive age. Results showed that age (p=0.002), asthma (p=0.026), chronic kidney disease (p=0.000), and heart disease (p=0.002) are significant risk factors of COVID-19 death in Banjar Regency. Conclusion Based on our analysis of COVID-19-related deaths in Banjar Regency in Ratu Zaleha Hospital on the year 2020-2021, diabetes, pneumonia, kidney failure, and COPD were associated with increased mortality.
COVID-19 ; Comorbidity ; Mortality

BACKGROUND AND OBJECTIVE

Several studies have examined the predictors of mortality among COVID-19-infected patients; however, to date, few published studies focused on end-stage renal disease patients. The present study,therefore, aims to determine the predictors of in-hospital mortality among end-stage renal disease patients with COVID-19 admitted to a Philippine tertiary hospital.

The researcher utilized a retrospective cohort design. A total of 449 adult end-stage renal disease patients on renal replacement therapy diagnosed with moderate-to-severe COVID-19 and were admitted at the National Kidney and Transplant Institute from June 2020 to 2021 were included. Logistic regression analysis was used to determine the factors associated with in-hospital mortality.

In-hospital mortality among end-stage renal disease patients with COVID-19 was 31.18% (95% CI: 26.92- 35.69%). Older age (OR=1.03), male sex (OR=0.56), diabetes mellitus (OR=1.80), coronary artery disease (OR=1.71), encephalopathy (OR=7.58), and intubation (OR=30.78) were associated with in-hospital mortality.

Patients with ESRD and COVID-19 showed a high in-hospital mortality rate. Older age, diabetes mellitus, coronary artery disease, encephalopathy, and intubation increased the odds of mortality. Meanwhile, males had lower odds of mortality than females.

OBJECTIVES

The study aimed to determine the association of electrocardiographic (ECG) abnormalities and in-hospital mortality of patients with coronavirus disease 2019 (COVID-19) infection admitted in a tertiary care hospital in the Philippines.

We conducted a retrospective study of confirmed COVID-19–infected patients. Demographic and clinical characteristics and clinical outcomes were extracted from the medical records. Electrocardiographic analysis was derived from the 12-lead electrocardiogram recorded upon admission. The frequencies and distributions of various clinical characteristics were described, and the ECG abnormalities associated with in-hospital mortality were investigated.

A total of 163 patients were included in the study; most were female (52.7%) with a median age of 55 years. Sinus rhythm with any ECG abnormality (65%), nonspecific ST and T-wave changes (35%), and sinus tachycardia (22%) were the frequently reported ECG findings. The presence of any ECG abnormality was detected in 78.5% of patients, and it was significantly associated with in-hospital mortality (P = 0.038). The analysis revealed a statistically significant association between in-hospital mortality and having atrial fibrillation or flutter (P = 0.002), supraventricular tachycardia (P = 0.011), ventricular tachycardia (P = 0.011), third-degree atrioventricular block (P = 0.011), T-wave inversion (P = 0.005), and right ventricular hypertrophy (P = 0.011).

The presence of any ECG abnormality in patients with COVID-19 infection was associated with in-hospital mortality. Electrocardiographic abnormalities that were associated with mortality were atrial fibrillation or flutter, supraventricular tachycardia, ventricular tachycardia, third-degree atrioventricular block, T-wave inversion, and right ventricular hypertrophy.

Background and Objectives: A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation Methods: This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation. Results: The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cut-off cHIS scores. Conclusion Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.
COVID-19 ; Inflammation ; Mortality ; Respiration, Artificial ; Cytokine Release Syndrome