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1.
Clin Gastroenterol Hepatol ; 20(6): e1488-e1492, 2022 06.
Article in English | MEDLINE | ID: covidwho-1598958

ABSTRACT

The first coronavirus disease 2019 (COVID-19) pandemic surge harshly impacted the medically underserved populations of the urbanized northeastern United States. SARS-CoV-2 virions infect the gastrointestinal (GI) tract, and GI symptoms are common during acute infection.1 Post-COVID syndromes increasingly are recognized as important public health considerations.2 Postinfectious disorders of gut-brain interaction (DGBIs; formerly known as functional gastrointestinal disorders) can occur after enteric illness; the COVID-19 pandemic is anticipated to provoke DGBI development3 within a rapidly evolving post-COVID framework of illness. Here, we evaluate factors associated with DGBI-like post-COVID gastrointestinal disorders (PCGIDs) in our hospital's surrounding communities comprised predominantly of racial/ethnic minorities and those of reduced socioeconomic status.


Subject(s)
COVID-19 , Digestive System Diseases , Gastrointestinal Diseases , COVID-19/epidemiology , Gastrointestinal Diseases/epidemiology , Humans , Pandemics , SARS-CoV-2
2.
J Infect Dis ; 223(1): 38-46, 2021 01 04.
Article in English | MEDLINE | ID: covidwho-1066343

ABSTRACT

BACKGROUND: We sought to develop an automatable score to predict hospitalization, critical illness, or death for patients at risk for coronavirus disease 2019 (COVID-19) presenting for urgent care. METHODS: We developed the COVID-19 Acuity Score (CoVA) based on a single-center study of adult outpatients seen in respiratory illness clinics or the emergency department. Data were extracted from the Partners Enterprise Data Warehouse, and split into development (n = 9381, 7 March-2 May) and prospective (n = 2205, 3-14 May) cohorts. Outcomes were hospitalization, critical illness (intensive care unit or ventilation), or death within 7 days. Calibration was assessed using the expected-to-observed event ratio (E/O). Discrimination was assessed by area under the receiver operating curve (AUC). RESULTS: In the prospective cohort, 26.1%, 6.3%, and 0.5% of patients experienced hospitalization, critical illness, or death, respectively. CoVA showed excellent performance in prospective validation for hospitalization (expected-to-observed ratio [E/O]: 1.01; AUC: 0.76), for critical illness (E/O: 1.03; AUC: 0.79), and for death (E/O: 1.63; AUC: 0.93). Among 30 predictors, the top 5 were age, diastolic blood pressure, blood oxygen saturation, COVID-19 testing status, and respiratory rate. CONCLUSIONS: CoVA is a prospectively validated automatable score for the outpatient setting to predict adverse events related to COVID-19 infection.


Subject(s)
COVID-19/diagnosis , Severity of Illness Index , Adult , Aged , Critical Illness , Female , Hospitalization , Humans , Intensive Care Units , Male , Middle Aged , Models, Theoretical , Outpatients , Predictive Value of Tests , Prognosis , Prospective Studies , ROC Curve , Sensitivity and Specificity
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