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1.
J Med Virol ; 94(10): 4839-4849, 2022 10.
Article in English | MEDLINE | ID: covidwho-1894608

ABSTRACT

Coronavirus disease 2019 (COVID-19) pandemic spread rapidly with more than 515 million cases and 6.2 million deaths. Epidemiological factors are important for understanding the state of the pandemic. This study aims to evaluate the hospitalizations, intensive care unit (ICU) admissions, and lethality from March 2020 to April 2022. Data were collected from a hospital in Porto Alegre city, southern Brazil. The Mann-Whitney, analysis of variance, and Kruskal-Wallis tests were used to compare quantitative variables. Categorical variables were compared by Pearson's χ2 test. p values <0.05 for all tests were considered significant. Were observed 3784 hospitalizations. Males were 51.4% and the age was 60.4± 20.3. Intensive care unit (ICU) patients were 31.2%, the median length of stay (LOS) was 9.0 and lethality was 13.3%. ICU lethality was 34.5% versus 4.6% in other inpatients (p < 0.01). The LOS of ICU patients was 22.0 versus 7.0 in other inpatients (p < 0.01). The first peak (July-Novemebr 2020) showed ICU occupancy of 79.1%. The second peak (December 2020-June 2021) with 91.6% occupancy. The third peak January-March 2022 with 81.0% occupancy (p < 0.01). Lethality rates were 10.3% in 2020, 14.9% in 2021 and 15.4% in 2022 (p < 0.01). In conclusion, the ICU occupancy rate was higher in 2021 and the lethality rates of ICU patients were high during pandemic years (10.3% in 2020, 14.9% in 2021, and 15.2% in 2022). The lethality of these patients ranged from 25.0% in March to 21.8% in December 2020, from 20.9% in January 22.2% in Decemebr 2021, and 35.7% in January 2022 to 21.4% in April 2022. These data demonstrate that COVID-19 is a critical illness, even in a private hospital setting.


Subject(s)
COVID-19 , Pandemics , Brazil/epidemiology , COVID-19/epidemiology , Hospitalization , Humans , Intensive Care Units , Length of Stay , Male , Retrospective Studies
2.
J Med Virol ; 94(8): 3750-3756, 2022 08.
Article in English | MEDLINE | ID: covidwho-1819370

ABSTRACT

Hospital readmissions due to COVID-19 are one of the main concerns for the health system due to risks to the patient's life and increased use of health resources. Studies focusing on this issue are important to understand the risk factors and create strategies to avoid readmissions. We evaluated the readmission of patients with confirmed COVID-19 in a private hospital in southern Brazil, between March 2020 and 2021. Also, the characteristics and clinical outcomes of patients admitted to the intensive care unit (ICU) and nonadmitted were compared. Poisson regression models with prevalence ratio (PR) with 95% confidence intervals (95% CIs) were applied to confirm the association between variables and ICU admission. Of the 2084 hospitalized patients with COVID-19, 1806 were discharged alive. Among them, 106 were readmitted for unplanned reasons during one year. Early hospital readmission (≤30 days) occurred in 52.8% of the cases. The main reasons were respiratory, gastroenterological, kidney, and cardiac disease. The median age was 73.0 years old and women correspond to 52.8%. The presence of at least one comorbidity was detected in 87.7% of patients. Hypertension, diabetes, cardiac, and lung disease were more frequent. The ICU admitted patients (n = 43; 40.5%) mostly had 4-5 comorbidities, pulmonary involvement ≥50%, length of stay (LOS), and days between discharge and first readmission. Longer LOS (PR: 3.46; 95% CI: 1.24-5.67), days between discharge/first readmission (PR: 2.21; 95% CI: 1.15-5.88), and pulmonary involvement (≥50%; PR: 1.59; 95% CI: 1.11-3.54) were independently associated with ICU admission. Longer LOS, longer days between discharge/first readmission, and pulmonary involvement (≥50%) were associated with ICU admission in readmitted patients. Readmissions evaluation is pivotal and may help in ensuring safe care transition and postdischarge follow-up.


Subject(s)
COVID-19 , Patient Readmission , Aftercare , Aged , COVID-19/epidemiology , COVID-19/therapy , Female , Hospitalization , Humans , Intensive Care Units , Length of Stay , Patient Discharge , Prevalence , Retrospective Studies , Risk Factors
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