Cause-specific death in hospitalized individuals infected with SARS-CoV-2: more than just acute respiratory failure or thromboembolic events (original) (raw)
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SSRN Electronic Journal, 2020
Background: Death certificates are considered the most reliable source of information to compare cause-specific mortality across countries. The aim of the present study was to examine death certificates of persons who tested positive for severe acute respiratory syndrome coronavirus (SARS-CoV-2) to (a) quantify the number of deaths directly caused by coronavirus 2019 (COVID-19); (b) estimate the most common complications leading to death; and (c) identify the most common comorbidities. Methods: Death certificates of persons who tested positive for SARS-CoV-2 provided to the National Surveillance system were coded according to the 10th edition of the International Classification of Diseases. Deaths due to COVID-19 were defined as those in which COVID-19 was the underlying cause of death. Complications were defined as those conditions reported as originating from COVID-19, and comorbidities were conditions independent of COVID-19. Results: A total of 5311 death certificates of persons dying in March through May 2020 were analysed (16.7% of total deaths). COVID-19 was the underlying cause of death in 88% of cases. Pneumonia and respiratory failure were the most common complications, being identified in 78% and 54% of certificates, respectively. Other complications, including shock, respiratory distress and pulmonary oedema, and heart complications demonstrated a low prevalence, but they were more commonly observed in the 30-59 years age group. Comorbidities were reported in 72% of certificates, with little variation by age and gender. The most common comorbidities were hypertensive heart disease, diabetes, ischaemic heart disease, and neoplasms. Neoplasms and obesity were the main comorbidities among younger people. Discussion: In most persons dying after testing positive for SARS-CoV-2, COVID-19 was the cause directly leading to death. In a large proportion of death certificates, no comorbidities were reported, suggesting that this condition can be fatal in healthy persons. Respiratory complications were common, but non-respiratory complications were also observed.
Predictors of mortality related to Covid-19
World Journal of Advanced Research and Reviews, 2022
Introduction: The new 2019 coronavirus has spread rapidly around the world, creating a pandemic. Since the beginning of the pandemic, 6.012.035 patients have died. The objective of this study is to identify clinical and biological parameters associated with high mortality in patients with COVID-19 pneumonia. Material and methods: We report a retrospective study carried out in a Covid department of the Mohamed VI University Hospital of Marrakech between 20 October and 20 December 2021. Patients were divided into 2 groups: a survivor group and a decedent group. Results: We collected 103 cases during this period. A male predominance was noted in 55.3% of cases. The group of deceased included 9 cases (8.7%) while the group of survivors contained 94 cases (91.2%). The average age of the patients in the survivor group was 44.6 years, while it was higher in the deceased group (60.6 years). We noted that the deceased patients had more arterial hypertension (55.6% vs. 10.6%) and heart diseas...
Potential risk factors for mortality in patients with COVID-19: A retrospective study
CERN European Organization for Nuclear Research - Zenodo, 2022
Although severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection caused more than five million deaths throughout the world and more than five thousand deaths in Libya, a little is known about the mortality rate and the risk factors for death from this serious infectious disease in Libya. Thus, it is aimed in this study to identify the potential risk factors for mortality from SARS-CoV-2 infections among 176 Libyan COVID-19 patients in Zawia city. This research is a retrospective cohort study that was conducted on 176 randomly selected volunteers who had been infected with SARS-CoV-2 during a period of December 2020 to February 2021 in Zawia city, Libya. Following filling the prepared validated questionnaire by COVID-19 patients, the data was analyzed to determine the previously mentioned risk factors. The mean age (SD) of the total 176 participated COVID-19 patients was 45.06 (± 17.7) and the mortality rate among these total involved cases (mild to severe cases) was 10.8%. It is found that the mortality among the severe COVID-19 cases was 41.3% and the mean age (SD) of COVID-19 deaths was 69.1 years (13.8) and 73.7% of them were 60 years old or older. In addition, it is found that 63.2% of the SARS-CoV-2 deaths were females and 78.9% of them had a positive history of chronic diseases. Moreover, it was found that the most common chronic diseases among COVID-19 deaths are diabetes mellitus and hypertension (73.3% and 53.3%, respectively). Collectively, it is concluded that COVID-19 elderly female patients aging 60 years or older with a positive history of chronic disease are more likely at high risk for death from SARS-CoV-2 infection among the participated COVID cases.
ArticlePresenting features and early mortality from SARS-CoV
2020
We describe the outcomes in cancer patients during the initial outbreak of the COVID-19 in Europe from the retrospective, multi-center observational OnCovid study. We identified 204 cancer patients from eight centers in the United Kingdom, Italy, and Spain aged > 18 (mean = 69) and diagnosed with COVID-19 between February 26th and April 1st, 2020. A total of 127 (62%) were male, 184 (91%) had a diagnosis of solid malignancy, and 103 (51%) had non-metastatic disease. A total of 161 (79%) had > 1 co-morbidity. A total of 141 (69%) patients had > 1 COVID-19 complication. A total of 36 (19%) were escalated to high-dependency or intensive care. A total of 59 (29%) died, 53 (26%) were discharged, and 92 (45%) were in-hospital survivors. Mortality was higher in patients aged > 65 (36% versus 16%), in those with > 2 co-morbidities (40% versus 18%) and developing > 1 complication from COVID-19 (38% versus 4%, p = 0.004). Multi-variable analyses confirmed age > 65 and >...
Death among patients hospitalized with symptomatic COVID‐19: Implications for high‐risk patients
Journal of Hospital Medicine, 2022
Background: We aimed to examine the role played by the COVID-19 infection in patients' death and to determine the proportion of patients for whom it was a major contributor to death. Methods: We included patients ≥50 years old who were hospitalized with COVID-19 infection and died between March 1, 2020 and September 30, 2020 in a tertiary medical center. We considered COVID-19 infection to be a major cause for death if the patient had well-controlled medical conditions and death was improbable without coronavirus infection, and a minor cause for death if the patient had serious illnesses and had an indication for palliative care. Results: Among 243 patients, median age was 80 (interquartile intervals: 72-86) and 40% were female. One in two had moderate or severe frailty and 41% had dementia. Nearly 60% of the patients were classified as having advanced, serious illnesses present prior to the hospitalization, with death being expected within 12 months, and among this group 39% were full code at admission. In the remaining 40% of
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
Introduction: Coronavirus Disease in 2019 (COVID-19) is globally a major factor in the mortality of patients. Hence, there is an immediate requirement to recognise the mortality predictors in the COVID-19 patients. Aim: To identify the clinical features and risk factors for the mortality of adult patients suffering from COVID-19 in Sirjan, Iran. Materials and Methods: In this retrospective cohort study, all demographic, clinical, laboratory data of COVID-19 patients who were admitted to hospitals of Sirjan city was collected from July to October 2020 and data was analysed in November 2020. In this period, 269 patients with COVID-19 were admitted. The findings based on the considered parameters of patients in the hospital was recorded; Univariable and multivariable logistic regression methods were applied to find the risk factors due to in hospital death. Results: Out of 269 patients, 39 patients (14.5%) died in the hospital and the rest were discharged. A total of 152 (56.5%) patien...
Predictors of severity and mortality in COVID-19 patients
The Egyptian Journal of Bronchology, 2022
Background Due to limited capacity, health care systems worldwide have been put in challenging situations since the emergence of COVID-19. To prioritize patients who need hospital admission, a better understanding of the clinical predictors of disease severity is required. In the current study, we investigated the predictors of mortality and severity of illness in COVID-19 from a single center in Cairo, Egypt. Methods This retrospective cohort study included 175 patients hospitalized with COVID-19 pneumonia and had positive real-time polymerase chain reaction (RT-PCR) results for SARS-CoV-2 from 1 May 2020 to 1 December 2020. Severe COVID-19 was defined as requiring high-flow oxygen (flow rate of more than 8 L/min or use of high flow oxygen cannula), noninvasive ventilation, or invasive mechanical ventilation at any time point during the hospitalization. We used univariate and multivariate regression analyses to examine the differences in patient demographics and clinical and labora...
International journal of cardiovascular practice, 2022
Background: Since December 2019, a pneumonia outbreak has spread through a viral infection. Originally, the virus pathogen was termed SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). SARS-CoV-2 can cause severe and life-threatening problems. Objectives: The purpose of this study was to describe the prognostic comparison of SARS-CoV-2 viral infection in patients with and without underlying heart disease in our center. Methods: A total of 400 Iranian adult patients with COVID-19 enrolled in this descriptive-analytical research. The study population was categorized into 4 groups: (1) no underlying disorder, (2) only cardiovascular complication, (3) only non-cardiovascular disease (CVD), and (4) cardiovascular and non-cardiovascular complications. The prognosis was adjudicated based on underlying diseases. Anthropometric details were also gathered. Finally, the data were analyzed using SPSS version 25. Results: The mortality rate was almost 4.17 times more in patients suffering from both cardiovascular and non-cardiovascular complications compared with the first group having no underlying disorders. This rate was 3.98 times more than the baseline in patients complicated with CVD alone. Based on a logistic regression model, COVID-19 prognosis was associated with age, underlying disorder type, length of hospitalization, the requirement for the intensive care unit (ICU), length of stay in ICU, the need for intubation, reservoir bag-mask requirement, and some of the life-threatening complications such as pneumonia and sepsis. Conclusions: Cardiovascular underlying disorders (such as myocarditis and deep vein thrombosis) are likely to be linked to the prognosis of COVID-19.
Risk factors associated with mortality in COVID-19 patients: a retrospective case control study
2021
Background: COVID-19, a novel disease, appeared in December 2019 in China and rapidly spread across the world. This study aimed to investigate and find out the factors responsible for death of COVID patients by comparing with recovered patients. Methodology: A retrospective, case control study was conducted from August 2020 to October 2020 in three hospitals of Poonch division, AJK. Total 192 patients who have been admitted in a hospital with symptoms of COVID-19 and positive PCR test, including 152 recovered from the infection and 40 died, were enrolled in the study. Data of age, gender, occupation, body weight, temperature, diabetic status, hypertension, cardiovascular disease, lungs disorder, kidney disorder, tuberculosis, cancer and smoking was collected for all patients and entered in a datasheet. Different factors were than compared statistically between recovered and dead patients. Results: Died patients had significantly higher age (P=0.000) and body temperature (P=0.000) as...
Cancer Cell, 2020
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