Case Fatality Rate of Cancer Patients with COVID-19 in a New York Hospital System.
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ABSTRACT:
SUBMITTER: Mehta V
PROVIDER: S-EPMC7334098 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:When the population risk factors and reporting systems are similar, the assessment of the case-fatality (or lethality) rate (ratio of cases to deaths) represents a perfect tool for analyzing, understanding and improving the overall efficiency of the health system. The objective of this article is to estimate the influence of the hospital care system on lethality in metropolitan France during the inception of the COVID-19 epidemic, by analyzing the spatial variability of the hospital case-fatality rate (CFR) between French districts. In theory, the hospital age-standardized CFR should not display significant differences between districts, since hospital lethality depends on the virulence of the pathogen (the SARS-CoV-2 virus), the vulnerability of the population (mainly age-related), the healthcare system quality, and cases and deaths definition and the recording accuracy. We analyzed hospital data on COVID-19 hospitalizations, severity (admission to intensive care units for reanimation or endotracheal intubation) and mortality, from March 19 to May 8 corresponding to the first French lockdown. All rates were age-standardized to eliminate differences in districts age structure. The results show that the higher case-fatality rates observed by districts are mostly related to the level of morbidity. Time analysis shows that the case-fatality rate has decreased over time, globally and in almost all districts, showing an improvement in the management of severe patients during the epidemic. In conclusion, it appears that during the first critical phase of COVID-19 ramping epidemic in metropolitan France, the higher case-fatality rates were generally related to the higher level of hospitalization, then potentially related to the overload of healthcare system. Also, low hospitalization with high case-fatality rates were mostly found in districts with low population density, and could due to some limitation of the local healthcare access. However, the magnitude of this increase of case-fatality rate represents less than 10 per cent of the average case-fatality rate, and this variation is small compared to much greater variation across countries reported in the literature.
| S-EPMC7737987 | biostudies-literature
Project description:ObjectiveWe aimed to document data on the epidemiology and factors associated with clinical course leading to death of patients hospitalised with COVID-19.MethodsProspective observational cohort study on patients hospitalised with COVID-19 disease in February-24th/May-17th 2020 in Milan, Italy. Uni-multivariable Cox regression analyses were performed. Death's percentage by two-weeks' intervals according to age and disease severity was analysed.ResultsA total of 174/539 (32.3%) patients died in hospital over 8228 person-day follow-up; the 14-day Kaplan-Meier probability of death was 29.5% (95%CI: 25.5-34.0). Older age, burden of comorbidities, COVID-19 disease severity, inflammatory markers at admission were independent predictors of increased risk, while several drug-combinations were predictors of reduced risk of in-hospital death. The highest fatality rate, 36.5%, occurred during the 2nd-3rd week of March, when 55.4% of patients presented with severe disease, while a second peak, by the end of April, was related to the admission of older patients (55% ≥80 years) with less severe disease, 30% coming from long-term care facilities.ConclusionsThe unusual fatality rate in our setting is likely to be related to age and the clinical conditions of our patients. These findings may be useful to better allocate resources of the national healthcare system, in case of re-intensification of COVID-19 epidemics.
| S-EPMC7497732 | biostudies-literature
Project description:ObjectiveAnalyze a set of indicators to understand the variability of the evolution and impact of the COVID-19 epidemic in a set of selected countries.MethodEcological study of a group of countries with more than 200 reported cases. Demographic variables, health expenditure variables, and variables about characteristics of health services were included as explanatory variables. and incidence, mortality and fatality rates have been analyzed as response variables. In addition, a relative fatality index has been created. Data are from international organizations. Spearman's correlation coefficient was used to estimate the magnitude of the associations.ResultsNumber of tests and of medical professionals are associated with a higher incidence rate. Mortality and case fatality rate are not associated with demographic, health expenditure, or health services variables.ConclusionDifferences suggest a general underestimation of the magnitude of the epidemic. Improvement of case identification and effectiveness of epidemiological surveillance systems is necessary.
| S-EPMC7129244 | biostudies-literature
Project description:While the epidemic of SARS-CoV-2 has spread worldwide, there is much concern over the mortality rate that the infection induces. Available data suggest that COVID-19 case fatality rate had varied temporally (as the epidemic has progressed) and spatially (among countries). Here, we attempted to identify key factors possibly explaining the variability in case fatality rate across countries. We used data on the temporal trajectory of case fatality rate provided by the European Center for Disease Prevention and Control, and country-specific data on different metrics describing the incidence of known comorbidity factors associated with an increased risk of COVID-19 mortality at the individual level. We also compiled data on demography, economy and political regimes for each country. We found that temporal trajectories of case fatality rate greatly vary among countries. We found several factors associated with temporal changes in case fatality rate both among variables describing comorbidity risk and demographic, economic and political variables. In particular, countries with the highest values of DALYs lost to cardiovascular, cancer and chronic respiratory diseases had the highest values of COVID-19 CFR. CFR was also positively associated with the death rate due to smoking in people over 70 years. Interestingly, CFR was negatively associated with share of death due to lower respiratory infections. Among the demographic, economic and political variables, CFR was positively associated with share of the population over 70, GDP per capita, and level of democracy, while it was negatively associated with number of hospital beds ×1000. Overall, these results emphasize the role of comorbidity and socio-economic factors as possible drivers of COVID-19 case fatality rate at the population level.
| S-EPMC7609641 | biostudies-literature
Project description:In this study, we aimed to assess the relationship between tuberculosis case rate and COVID-19 case fatality rate (CFR) among districts within a tuberculosis-endemic metropolitan area. We analyzed data from 43 districts in Lima, Peru. We used districts as the units of observation. Linear regressions were used to investigate the relationship between COVID-19 CFRs and tuberculosis case rates. The mean COVID-19 CFR in each district for reporting Weeks 5-32 was used as the dependent variable. Independent variable was the mean rate of confirmed pulmonary tuberculosis cases for 2017-2019 period. Analyses were adjusted by population density, socioeconomic status, crowded housing, health facility density, and case rates of hypertension, diabetes mellitus, and HIV infection. The mean COVID-19 CFR in Lima was 4.0% ± 1.1%. The mean tuberculosis rate was 16.0 cases per 10,000 inhabitants. In multivariate analysis, tuberculosis case rate was associated with COVID-19 CFR (β = 1.26; 95% confidence interval: 0.24-2.28; p = .02), after adjusting for potential confounders. We found that Lima districts with a higher burden of tuberculosis exhibited higher COVID-19 CFRs, independent of socioeconomic, and morbidity variables.
| S-EPMC8013772 | biostudies-literature
Project description:The aim of this study was to analyze the clinical data, discharge rate, and fatality rate of COVID-19 patients for clinical help. The clinical data of COVID-19 patients from December 2019 to February 2020 were retrieved from four databases. We statistically analyzed the clinical symptoms and laboratory results of COVID-19 patients and explained the discharge rate and fatality rate with a single-arm meta-analysis. The available data of 1994 patients in 10 literatures were included in our study. The main clinical symptoms of COVID-19 patients were fever (88.5%), cough (68.6%), myalgia or fatigue (35.8%), expectoration (28.2%), and dyspnea (21.9%). Minor symptoms include headache or dizziness (12.1%), diarrhea (4.8%), nausea and vomiting (3.9%). The results of the laboratory showed that the lymphocytopenia (64.5%), increase of C-reactive protein (44.3%), increase of lactic dehydrogenase (28.3%), and leukocytopenia (29.4%) were more common. The results of single-arm meta-analysis showed that the male took a larger percentage in the gender distribution of COVID-19 patients 60% (95% CI [0.54, 0.65]), the discharge rate of COVID-19 patients was 52% (95% CI [0.34,0.70]), and the fatality rate was 5% (95% CI [0.01,0.11]).
| S-EPMC7228329 | biostudies-literature
Project description:PurposeTo examine clinicodemographic determinants associated with breast cancer survivorship follow-up during COVID-19.MethodsWe performed a retrospective, population-based cohort study including early stage (Stage I-II) breast cancer patients who underwent resection between 2006 and 2018 in a New York City hospital system. The primary outcome was oncologic follow-up prior to and during the COVID-19 pandemic. Secondary analyses compared differences in follow-up by COVID-19 case rates stratified by ZIP code.ResultsA total of 2942 patients with early-stage breast cancer were available for analysis. 1588 (54%) of patients had attended follow-up in the year prior to the COVID-19 period but failed to continue to follow-up during the pandemic, either in-person or via telemedicine. 1242 (42%) patients attended a follow-up appointment during the COVID-19 pandemic. Compared with patients who did not present for follow-up during COVID-19, patients who continued their oncologic follow-up during the pandemic were younger (p = 0.049) more likely to have received adjuvant radiation therapy (p = 0.025), and have lower household income (p = 0.031) on multivariate modeling. When patients who live in Bronx, New York, were stratified by ZIP code, there was a modest negative association (r = -0.56) between COVID-19 cases and proportion of patients who continued to follow-up during the COVID-19 period.ConclusionWe observed a dramatic disruption in routine breast cancer follow-up during the COVID-19 pandemic. Providers and health systems should emphasize reintegrating patients who missed appointments during COVID-19 back into regular surveillance programs to avoid significant morbidity and mortality from missed breast cancer recurrences.
| S-EPMC8334511 | biostudies-literature
Project description:The coronavirus disease 2019 (COVID-19) pandemic is still rapidly spreading globally. To probe high-risk cities and the impacts of air pollution on public health, this study explores the relationship between the long-term average concentration of air pollution and the city-level case fatality rate (CFR) of COVID-19 globally. Then, geographically weighted regression (GWR) is applied to examine the spatial variability of the relationships. Six air pollution factors, including nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), PM2.5 (particles with diameter ≤2.5 μm), PM10 (particles with diameter ≤10 μm), and air quality index (AQI), are positively associated with the city-level COVID-19 CFR. Our results indicate that a 1-unit increase in NO2 (part per billion, PPB), SO2 (PPB), O3 (PPB), PM2.5 (microgram per cubic meter, μg/m3), PM10 (μg/m3), AQI (score), is related to a 1.450%, 1.005%, 0.992%, 0.860%, 0.568%, and 0.776% increase in the city-level COVID-19 CFR, respectively. Additionally, the effects of NO2, O3, PM2.5, AQI, and probability of living with poor AQI on COVID-19 spatially vary in view of the estimation of the GWR. In other words, the adverse impacts of air pollution on health are different among the cities. In summary, long-term exposure to air pollution is negatively related to the COVID-19 health outcome, and the relationship is spatially non-stationary. Our research sheds light on the impacts of slashing air pollution on public health in the COVID-19 pandemic to help governments formulate air pollution policies in light of the local situations.
| S-EPMC8724597 | biostudies-literature
Project description:The first COVID-19 case in Nepal was reported on January 23, 2020. Then infection, then, started to spread gradually, and October marked the most devastating increase in COVID-19 cases of the year 2020. Compared with the October 2020 peak in Nepal, the May 2021 peak of COVID-19 observed 2- and 10-fold rise in new cases and deaths per day, respectively. Given that this surprising increase in the death rate was not observed in other countries, this study analyzed the COVID-19 case fatality rates between the two peaks in Nepal. We found an increase in death rates among younger adults and people without comorbidities.
| S-EPMC8653381 | biostudies-literature
Project description:OBJECTIVES:To confirm whether a relationship exists between male sex and coronavirus disease 2019 (COVID-19) mortality and whether this relationship is age dependent. PATIENTS AND METHODS:We queried the COVID-19 Research Network, a multinational database using the TriNetX network, to identify patients with confirmed COVID-19 infection. The main end point of the study was all-cause mortality. RESULTS:A total of 14,712 patients were included, of whom 6387 (43%) were men. Men were older (mean age, 55.0±17.7 years vs 51.1±17.9 years; P<.001) and had a higher prevalence of hypertension, diabetes, coronary disease, obstructive pulmonary disease, nicotine dependence, and heart failure but a lower prevalence of obesity. Before propensity score matching (PSM), all-cause mortality rate was 8.8% in men and 4.3% in women (odds ratio, 2.15; 95% CI, 1.87 to 2.46; P<.001) at a median follow-up duration of 34 and 32 days, respectively. In the Kaplan-Meier survival analysis, the cumulative probability of survival was significantly lower in men than in women (73% vs 86%; log-rank, P<.001). After PSM, all-cause mortality remained significantly higher in men than in women (8.13% vs 4.60%; odds ratio, 1.81; 95% CI, 1.55 to 2.11; P<.001). In the Kaplan-Meier survival analysis, the cumulative probability of survival remained significantly lower in men than in women (74% vs 86%; log-rank, P<.001). The cumulative probability of survival remained significantly lower in propensity score-matched men than in women after excluding patients younger than 50 years and those who were taking angiotensin-converting enzyme inhibitor or angiotensin receptor blocker medications on admission. CONCLUSION:Among patients with COVID-19 infection, men had a significantly higher mortality than did women, and this difference was not completely explained by the higher prevalence of comorbidities in men.
| S-EPMC7256502 | biostudies-literature