Hospitalization period of COVID-19 for future plans in hospital.
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ABSTRACT:
SUBMITTER: Sarmadi M
PROVIDER: S-EPMC7436404 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
Publications
Hospitalization period of COVID-19 for future plans in hospital.
Sarmadi Mohammad M Kakhki Samaneh S Foroughi Maryam M Abadi Tahere Sarboozi Hosein TSH Nayyeri Somayyeh S Moghadam Vahid Kazemi VK Ramezani Mahsan M
The British journal of surgery 20200805 10
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Project description:COVID-19 pandemic represented a worldwide major challenge in different areas, and efforts undertaken by the scientific community led to the understanding of some of the genetic determinants that influence the different COVID-19 outcomes. In this paper, we review the studies about the role of human genetics in COVID-19 severity and how Brazilian studies also contributed to those findings. Rare variants in genes related to Inborn Errors of Immunity (IEI) in the type I interferons pathway, and its phenocopies, have been described as being causative of severe outcomes. IEI and its phenocopies are present in Brazil, not only in COVID-19 patients, but also in autoimmune conditions and severe reactions to yellow fever vaccine. In addition, studies focusing on common variants and GWAS studies encompassing worldwide patients have found several loci associated with COVID-19 severity. A GWAS study including only Brazilian COVID-19 patients identified a new locus 1q32.1 associated with COVID-19 severity. Thus, more comprehensive studies considering the Brazilian genomic diversity should be performed, since they can help to reveal not only what are the genetic determinants that contribute to the different outcomes for COVID-19 in the Brazilian population, but in the understanding of human genetics in different health conditions.
| S-EPMC10792479 | biostudies-literature
Project description:COVID-19 vaccine effectiveness (VE) studies are limited in low- and middle-income countries. A case-control study was conducted among COVID-19 and other pneumonia patients admitted to a hospital in the Philippines during the pre-Omicron and Omicron periods. To elucidate factors associated with in-hospital death, 1782 COVID-19 patients were assessed. To estimate absolute VE for various severe outcomes, 1059 patients were assessed (869 [82.1%] COVID-19 cases; 190 [17.9%] controls). Factors associated with in-hospital death included older age, tuberculosis (adjusted odds ratio [aOR] 2.45 [95% confidence interval {95% CI} 1.69-3.57]), HIV (aOR 3.30 [95% CI 2.03-5.37]), and current smokers (aOR 2.65 [95% CI 1.72-4.10]). Pre-Omicron, the primary series provided high protection within a median of 2 months (hospitalization: 85.4% [95% CI 35.9-96.7%]; oxygen requirement: 91.0% [95% CI 49.4-98.4%]; invasive mechanical ventilation (IMV): 97.0% [95% CI 65.7-99.7%]; death: 96.5% [95% CI 67.1-99.6%]). During Omicron, the primary series provided moderate-high protection within a median of 6-9 months (hospitalization: 70.2% [95% CI 27.0-87.8%]; oxygen requirement: 71.4% [95% CI 29.3-88.4%]; IMV: 72.7% [95% CI -11.6-93.3%]; death: 58.9% [95% CI -82.8-90.8%]). Primary series VE against severe COVID-19 outcomes was consistently high for both pre-Omicron and Omicron in a setting where approximately half of the vaccinees received inactivated vaccines.
| S-EPMC11748018 | biostudies-literature
Project description:ImportanceOlder adults who are hospitalized for COVID-19 are at risk of delirium. Little is known about the association of in-hospital delirium with functional and cognitive outcomes among older adults who have survived a COVID-19 hospitalization.ObjectiveTo evaluate the association of delirium with functional disability and cognitive impairment over the 6 months after discharge among older adults hospitalized with COVID-19.Design, setting, and participantsThis prospective cohort study involved patients aged 60 years or older who were hospitalized with COVID-19 between June 18, 2020, and June 30, 2021, at 5 hospitals in a major tertiary care system in the US. Follow-up occurred through January 11, 2022. Data analysis was performed from December 2022 to February 2024.ExposureDelirium during the COVID-19 hospitalization was assessed using the Chart-based Delirium Identification Instrument (CHART-DEL) and CHART-DEL-ICU.Main outcomes and measuresPrimary outcomes were disability in 15 functional activities and the presence of cognitive impairment (defined as Montreal Cognitive Assessment score <22) at 1, 3, and 6 months after hospital discharge. The associations of in-hospital delirium with functional disability and cognitive impairment were evaluated using zero-inflated negative binominal and logistic regression models, respectively, with adjustment for age, month of follow-up, and baseline (before COVID-19) measures of the respective outcome.ResultsThe cohort included 311 older adults (mean [SD] age, 71.3 [8.5] years; 163 female [52.4%]) who survived COVID-19 hospitalization. In the functional disability sample of 311 participants, 49 participants (15.8%) experienced in-hospital delirium. In the cognition sample of 271 participants, 31 (11.4%) experienced in-hospital delirium. In-hospital delirium was associated with both increased functional disability (rate ratio, 1.32; 95% CI, 1.05-1.66) and increased cognitive impairment (odds ratio, 2.48; 95% CI, 1.38-4.82) over the 6 months after discharge from the COVID-19 hospitalization.Conclusions and relevanceIn this cohort study of 311 hospitalized older adults with COVID-19, in-hospital delirium was associated with increased functional disability and cognitive impairment over the 6 months following discharge. Older survivors of a COVID-19 hospitalization who experience in-hospital delirium should be assessed for disability and cognitive impairment during postdischarge follow-up.
| S-EPMC11220565 | biostudies-literature
Project description:BackgroundA crucial factor in mitigating respiratory viral outbreaks is early determination of the duration of the incubation period and, accordingly, the required quarantine time for potentially exposed individuals. At the time of the COVID-19 pandemic, optimization of quarantine regimes becomes paramount for public health, societal well-being, and global economy. However, biological factors that determine the duration of the virus incubation period remain poorly understood.ResultsWe demonstrate a strong positive correlation between the length of the incubation period and disease severity for a wide range of human pathogenic viruses. Using a machine learning approach, we develop a predictive model that accurately estimates, solely from several virus genome features, in particular, the number of protein-coding genes and the GC content, the incubation time ranges for diverse human pathogenic RNA viruses including SARS-CoV-2. The predictive approach described here can directly help in establishing the appropriate quarantine durations and thus facilitate controlling future outbreaks.ConclusionsThe length of the incubation period in viral diseases strongly correlates with disease severity, emphasizing the biological and epidemiological importance of the incubation period. Perhaps, surprisingly, incubation times of pathogenic RNA viruses can be accurately predicted solely from generic features of virus genomes. Elucidation of the biological underpinnings of the connections between these features and disease progression can be expected to reveal key aspects of virus pathogenesis.
| S-EPMC7703724 | biostudies-literature
Project description:ObjectivesThis study aimed to measure the hospitalization costs for suspect or confirmation cases of COVID-19 and aggregate knowledge in the costing process for future research on related topics.MethodsA cost calculation model was applied using absorption costing technique. Cost was allocated into 2 main groups: hospitalization and personnel. The cost analysis considers the hospital perspective. This is a retrospective study whose data were collected between April and September 2020, equivalent to the first wave of the disease in Brazil. This research uses data from Hospital Information System, Brazilian Unified Health System (SUS) Cost Calculation and Management System, and SUS Hospital Information System.ResultsThe average total cost per hospitalization was US$11 260 (R$63 504) for patients suspect or confirmed by COVID-19, and considering only detectable cases, the value was US$17 178 (R$96 886). The profile of hospitalized patients was male (51%), with a mean age of 59 years, white ethnicity (64%), and average length of stay of 9 days.ConclusionsThe amount approved by SUS for remuneration of hospitalizations by COVID-19 proved to be insufficient to cover the calculated costs. The results of this study collaborate to measure the expenditure of hospital institutions with COVID-19 hospitalizations, contribute as a parameter for health managers to identify whether the values attributed to hospitalization by COVID-19 by the SUS are adequate to cover all costs involved, and provide lessons learned on costs to the public health system in the event of new pandemics.
| S-EPMC9718517 | biostudies-literature
Project description:Background: The aim of this study was to assess the impact of the coronavirus disease 2019 (COVID-19) pandemic on the current study methods and future plans of medical students compared to those in the pre-pandemic period. Methods: Second-grade medical students reported their academic experiences, study methods, and future career plans before (between 2016 and 2019) and during the pandemic (2020) using a questionnaire-based survey at Hokkaido University, Japan (n = 534). Results: From 2016 to 2019, we found an increasing trend for participation in short-term international exchange programs, taking the United States Medical Licensing Examination (USMLE), clinical training, and undertaking research abroad among the students. However, these percentages significantly declined (to 35.5%) during the COVID-19 pandemic in 2020 for all the assessed future plans, including short-term exchange programs (-27.9%), taking USMLE (-19.8%), clinical training (-24.5%), and undertaking research abroad (-13.2%) compared to 2019, wherein 67.9% of the students wished to have at least one of these four above-mentioned academic activities. Conclusions: The COVID-19 pandemic adversely and significantly influenced our medical students' plans to go abroad for clinical and research training. Future studies are warranted to assess the long-term influence of this pandemic on the career planning of medical students.
| S-EPMC9370090 | biostudies-literature
Project description:COVID-19 was a challenge for health-care systems worldwide, causing large numbers of hospitalizations and inter-hospital transfers. We studied whether transfer, as well as its reason, was associated with the duration of hospitalization in non-ICU and ICU patients. For this purpose, all patients hospitalized due to COVID-19 between August 1st and December 31st, 2021, in a network of hospitals in Southern Germany were comprehensively characterized regarding their clinical course, therapy, complications, transfers, reasons for transfer, involved levels of care, total period of hospitalization and in-hospital mortality, using univariate and multiple regression analyses. While mortality was not significantly associated with transfer, the period of hospitalization was. In non-ICU patients (n = 545), median (quartiles) time was 7.0 (4.0-11.0) in non-transferred (n = 458) and 18.0 (11.0-29.0) days in transferred (n = 87) patients (p < 0.001). In ICU patients (n = 100 transferred, n = 115 non-transferred) it was 12.0 (8.3-18.0) and 22.0 (15.0-34.0) days (p < 0.001). Beyond ECMO therapy (4.5%), reasons for transfer were medical (33.2%) or capacity (61.9%) reasons, with medical/capacity reasons in 32/49 of non-ICU and 21/74 of ICU patients. Thus, the transfer of COVID-19 patients between hospitals was associated with longer periods of hospitalization, corresponding to greater health care utilization, for which specific patient characteristics and clinical decisions played a role.
| S-EPMC10973428 | biostudies-literature
Project description:BackgroundData on patients with coronavirus disease 2019 (COVID-19) who return to hospital after discharge are scarce. Characterization of these patients may inform post-hospitalization care.ObjectiveTo describe clinical characteristics of patients with COVID-19 who returned to the emergency department (ED) or required readmission within 14 days of discharge.DesignRetrospective cohort study of SARS-COV-2-positive patients with index hospitalization between February 27 and April 12, 2020, with ≥ 14-day follow-up. Significance was defined as P < 0.05 after multiplying P by 125 study-wide comparisons.ParticipantsHospitalized patients with confirmed SARS-CoV-2 discharged alive from five New York City hospitals.Main measuresReadmission or return to ED following discharge.ResultsOf 2864 discharged patients, 103 (3.6%) returned for emergency care after a median of 4.5 days, with 56 requiring inpatient readmission. The most common reason for return was respiratory distress (50%). Compared with patients who did not return, there were higher proportions of COPD (6.8% vs 2.9%) and hypertension (36% vs 22.1%) among those who returned. Patients who returned also had a shorter median length of stay (LOS) during index hospitalization (4.5 [2.9,9.1] vs 6.7 [3.5, 11.5] days; Padjusted = 0.006), and were less likely to have required intensive care on index hospitalization (5.8% vs 19%; Padjusted = 0.001). A trend towards association between absence of in-hospital treatment-dose anticoagulation on index admission and return to hospital was also observed (20.9% vs 30.9%, Padjusted = 0.06). On readmission, rates of intensive care and death were 5.8% and 3.6%, respectively.ConclusionsReturn to hospital after admission for COVID-19 was infrequent within 14 days of discharge. The most common cause for return was respiratory distress. Patients who returned more likely had COPD and hypertension, shorter LOS on index-hospitalization, and lower rates of in-hospital treatment-dose anticoagulation. Future studies should focus on whether these comorbid conditions, longer LOS, and anticoagulation are associated with reduced readmissions.
| S-EPMC7437962 | biostudies-literature
Project description:PurposeThe aim of this study was to describe the incidence and risk factors for hospital readmission and infection during the months after COVID-19 hospital admission.MethodsThis prospective study included adult patients who were hospitalized due to COVID-19 and had been discharged from April 2020 to August 2020. All patients had a medical evaluation with a structured questionnaire 6 to 11 months after hospital admission. The authors included only patients with confirmed COVID-19 by RT-PCR. Patients with pregnant/postpartum women, with a proven COVID-19 reinfection or incapable of answering the questionnaire were excluded.ResultsA total of 822 patients completed the follow-up assessment, and 68% reported at least one recurrent symptom related to COVID-19. The most frequent symptom was myalgia (42%). Thirty-two percent of patients visited an emergency room after COVID-19 hospitalization, and 80 (10%) patients required re-hospitalization. Risk factors for hospital readmission were orotracheal intubation during COVID-19 hospitalization (p = 0.003, OR = 2.14), Charlson score (p = 0.002, OR = 1.21), congestive heart failure (p = 0.005, OR = 2.34), peripheral artery disease (p = 0.06, OR = 2.06) and persistent diarrhea after COVID-19 hospitalization discharge (p = 0.02, OR = 1.91). The main cause of hospital readmission was an infection, 43 (54%). Pneumonia was the most frequent infection (29%).ConclusionsThe presence of symptoms after six months of COVID-19 diagnosis was frequent, and hospital readmission was relatively high.
| S-EPMC9189119 | biostudies-literature
Project description:Vaccine effectiveness of BNT162b2 and CoronaVac against COVID-19-associated hospitalization and moderate-to-severe disease due to SARS-CoV-2 Omicron BA.2 is studied from the 1.36 million doses administered to 766,601 of 953,400 children aged 3-11 years and adolescents aged 12-18 years in Hong Kong as of April 2022. These vaccines confer substantial protection.
| S-EPMC9868379 | biostudies-literature