ABSTRACT
Background Coronavirus disease 2019 (COVID-19) infection can vary from asymptomatic infection to multi-organ dysfunction. The most serious complication of infection with COVID-19 is death. Various comorbid conditions and inflammatory markers have been associated with an increased risk of mortality, specifically within the immediate post-infection period; however, less is known about long-term mortality outcomes. Objectives Our objective is to determine risk factors associated with six-month mortality in hospitalized COVID-19 patients. Methods This is a single-institution, retrospective study. We included patients hospitalized with COVID-19 from the University of Toledo Medical Center in Toledo, Ohio, who were admitted from March 20, 2020, to June 30, 2021. This study was approved by a biomedical institutional review board at the University of Toledo. Patients with available pre-stored blood samples for laboratory testing were included, and hospital charts were assessed up to six months from the date of a positive COVID-19 test result. Two groups were created based on the mortality outcome at six months from COVID-19 positive test results: survivors and non-survivors. The clinical variables or outcomes and laboratory values were compared between the two groups using non-parametric methods due to the small sample size and non-normality of the data. Either the Mann-Whitney U-test for continuous variables or Fisher's exact test for categorical variables was used for statistical analysis. Results Lactate dehydrogenase (LDH) and D-dimer levels on admission were found to be significantly higher in non-survivors than in survivors. The median high D-dimer level in non-survivors was 5.96 micrograms/milliliter (µg/mL) (interquartile range (IQR): 3.95-11.29 µg/mL) vs 1.82 µg/mL (IQR 1.13-5.55 µg/mL) in survivors (p = 0.019). Median LDH levels were also higher in non-survivors vs survivors, i.e., 621.00 international units per liter (IU/L) (IQR 440.00-849.00 IU/L) vs 328.00 IU/L (IQR 274.00-529.00 IU/L), respectively (p = 0.032). The demographic profile, comorbidity profile, and laboratory data (typically associated with short-term mortality, inflammation, and organ dysfunction) were similar between survivors and non-survivors, except for LDH and D-dimer. Conclusion Higher LDH and D-dimer levels on admission were found to be associated with an increased six-month mortality rate in hospitalized COVID-19 patients. These hematologic data can serve as risk stratification tools to prevent long-term mortality outcomes and provide proactive clinical care in hospitalized COVID-19 patients.
ABSTRACT
Background Coronavirus disease 2019 (COVID-19) infection can vary from asymptomatic infection to multi-organ dysfunction. The most serious complication of infection with COVID-19 is death. Various comorbid conditions and inflammatory markers have been associated with an increased risk of mortality, specifically within the immediate post-infection period;however, less is known about long-term mortality outcomes. Objectives Our objective is to determine risk factors associated with six-month mortality in hospitalized COVID-19 patients. Methods This is a single-institution, retrospective study. We included patients hospitalized with COVID-19 from the University of Toledo Medical Center in Toledo, Ohio, who were admitted from March 20, 2020, to June 30, 2021. This study was approved by a biomedical institutional review board at the University of Toledo. Patients with available pre-stored blood samples for laboratory testing were included, and hospital charts were assessed up to six months from the date of a positive COVID-19 test result. Two groups were created based on the mortality outcome at six months from COVID-19 positive test results: survivors and non-survivors. The clinical variables or outcomes and laboratory values were compared between the two groups using non-parametric methods due to the small sample size and non-normality of the data. Either the Mann-Whitney U-test for continuous variables or Fisher's exact test for categorical variables was used for statistical analysis. Results Lactate dehydrogenase (LDH) and D-dimer levels on admission were found to be significantly higher in non-survivors than in survivors. The median high D-dimer level in non-survivors was 5.96 micrograms/milliliter (μg/mL) (interquartile range (IQR): 3.95-11.29 μg/mL) vs 1.82 μg/mL (IQR 1.13-5.55 μg/mL) in survivors (p = 0.019). Median LDH levels were also higher in non-survivors vs survivors, i.e., 621.00 international units per liter (IU/L) (IQR 440.00-849.00 IU/L) vs 328.00 IU/L (IQR 274.00-529.00 IU/L), respectively (p = 0.032). The demographic profile, comorbidity profile, and laboratory data (typically associated with short-term mortality, inflammation, and organ dysfunction) were similar between survivors and non-survivors, except for LDH and D-dimer. Conclusion Higher LDH and D-dimer levels on admission were found to be associated with an increased six-month mortality rate in hospitalized COVID-19 patients. These hematologic data can serve as risk stratification tools to prevent long-term mortality outcomes and provide proactive clinical care in hospitalized COVID-19 patients.
ABSTRACT
BACKGROUND: Coronavirus disease 2019 (COVID-19) infection is associated with an increased risk of arterial thromboembolic events (ATE) and venous thromboembolic events (VTE). Hypercoagulability associated with COVID-19 infection is multifactorial, and underlying pathogenic mechanisms potentially responsible for thrombosis include inflammation resulting in endothelial damage, platelet activation and the presence of antiphospholipid antibodies (APAs). Antiphospholipid antibody syndrome is one of the very few causes which is associated with venous and arterial thromboembolic events. COVID-19 patients have a high prevalence of APAs as well as both ATE and VTE, but their clinical significance in COVID-19 patients is not fully understood yet. OBJECTIVES: In this study, we intend to find the prevalence of APAs in hospitalized COVID-19 patients at the time of diagnosis and determine whether their presence has any clinical significance. METHODS: This is a retrospective single-institution study involving patients hospitalized for the management of COVID-19 infection at The University of Toledo Medical Center. After obtaining approval from the biomedical institutional review board at The University of Toledo, antiphospholipid antibody (APA) testing was done on pre-stored blood samples of these patients and hospital charts were reviewed till six months from the positive COVID-19 test result. Two groups were created based on the patients' APA testing results (APA positive and APA negative) and used for statistical comparison. Any patients with positive lupus anticoagulant (LA) or abnormal titers APA antibodies were labeled as positive. Demographic data, prognostic outcomes and laboratory values were compared either using Mann-Whitney U-test for continuous variables or Fisher's exact test for categorical variables. RESULTS: The prevalence of APAs in hospitalized COVID-19 patients at the time of diagnosis was 39.3% in this study. There was no difference in demographic variables between the APA-positive and APA-negative groups. The prevalence of APAs was higher in smokers, where 91% of the APA-positive patients were smokers. There was no statistically significant difference in prognostic outcomes including six-month mortality between APA-positive and APA-negative patients. The comorbidity profile was the same in the two groups. APA-positive patients were found to have lower nadir of absolute lymphocyte count and higher nadir levels of C-reactive protein during hospitalization. CONCLUSIONS: The prevalence of APA positivity in hospitalized COVID-19 patients is higher in our study than in historical studies involving non-COVID-19 hospitalized patients, particularly in smokers. However, there is no correlation between APA positivity and prognostic outcomes including six-month mortality. At this point, it is unclear whether APAs are just bystanders or have a pathogenic role. Routine testing of APA in COVID-19 patients is not indicated. Further prospective studies to elucidate the persistence and clinical implications of APAs are needed.
ABSTRACT
Background There is limited data on the clinical characteristics and predictors of mortality of coronavirus disease-2019 (COVID-19) in North West Ohio. We performed a retrospective review of patients hospitalized with COVID-19 in the ProMedica Health System in Northwest Ohio from March 25 to June 16, 2020. The study aims to identify epidemiological, clinical characteristics, and predictors of Mortality of COVID-19 patients in Northwest Ohio. Methods This study was conducted on 217 COVID-19 patients admitted to ProMedica Health System Hospitals in Northwest Ohio from March 25 to June 16, 2020. We collected data, including clinical signs, symptoms, and outcomes of the COVID-19 patients. We compared clinical signs and symptoms along with comorbidities of survivors and non-survivors. Results Of the 217 patients included in the study, the mean age of the population was 63.13 (SD 17.8), of which 194 (89.4%, mean age 61.7 years) survived while 23 (10.6%, mean age 74.6 years) died. Among them, 53% were females and 47% male. Common presenting symptoms were chest pain (91.71%), shortness of breath (79.7%), cough (71%), and fever (64%). Mortality was associated with age greater than 63 (p-value 0.0052) and hypertension (p-value: 0.0058) with marginal significance with gender (p-value: 0.0642), chest pain (p-value: 0.0944), and history of cancer (p-value: 0.0944). Conclusions Advanced age and hypertension (HTN) are independent predictors for increased mortality. History of cancer and chest pain are associated with increased mortality with marginal significance. Awareness among physicians about predictors of mortality is essential in dealing with COVID-19 patients. It is essential to educate the public about preventative strategies such as wearing masks to decrease mortality and morbidity from this pandemic.
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic continues to cause significant morbidity and mortality worldwide. This study aims to identify specific lab markers, complications, and treatments that may be associated with increased mortality in COVID-19 patients. This study is retrospective in nature; it included 217 COVID-19 positive patients who were admitted to a ProMedica Health System hospital in Northwest Ohio, United States, between March 25 and June 16, 2020. We collected various laboratory values, complications, and treatment courses. T test and χ2 analyses were used to predict mortality. COVID-19 test was confirmed via polymerase chain reaction. Of 217 patients included in the study, the mean age of the population was 63.13 (SD, 17.8), of which 194 (89.4%, mean age 61.7 years) survived while 23 (10.6%, mean age 74.6 years) died. Among them, 53% were females and 47% male. Laboratory values that were associated with mortality were low hemoglobin (p = .0046), elevated INR (p = .0005), low platelets (p = .0246) and elevated procalcitonin (p = .0472). Marginally significant laboratory values included elevated troponin (p = .0661), and elevated creatinine (p = .0741). Treatment with either antibiotic, antifungals, antivirals, blood transfusion, steroids, and intubation were all statistically significant for mortality. COVID-19 related complications with either ARDS, myocarditis, elevated INR, septic shock, or age greater than 63 were significant predictors of mortality. Low hemoglobin, elevated INR, Low platelet, elevated procalcitonin, treated with either antibiotic, antifungal, antiviral, blood transfusion, steroids, and intubation are associated with high mortality related to COVID-19 infection. Healthcare professionals must be aware of these predictors.