Predictors of prolonged hospital stay in HIV-positive patients presenting to the emergency department.
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ABSTRACT: Background
Prolonged hospitalization places a significant burden on healthcare resources. Compared to the general population, hospital length of stay (LOS) is generally longer in HIV-positive patients. We identified predictors of prolonged hospital length of stay (LOS) in HIV-positive patients presenting to an emergency department (ED).Methods
In this cross-sectional study, HIV-positive patients presenting to the Charlotte Maxeke Johannesburg Academic Hospital adult ED were prospectively enrolled between 07 July 2017 and 18 October 2018. Data was subjected to univariate and multivariate logistic regression to determine parameters associated with a higher likelihood of prolonged hospital LOS, defined as ≥7 days.Results
Among the 1224 participants that were enrolled, the median (IQR) LOS was 4.6 (2.6-8.2) days, while the mean (SD) LOS was 6.9 (8.2) days. On multivariate analysis of the data, hemoglobin <11 g/dL (OR 1.37, p = 0.032), Glasgow coma scale (GCS) <15 (OR 1.80, p = 0.001), creatinine >120 μmol/L (OR 1.85, p = 0.000), cryptococcal meningitis (OR 2.45, p = 0.015) and bacterial meningitis (OR 4.83, p = 0.002) were significantly associated with a higher likelihood of LOS ≥7 days, while bacterial pneumonia (OR 0.35, p = 0.000) and acute gastroenteritis (OR 0.40, p = 0.025) were significantly associated with a lower likelihood of LOS ≥7 days.Conclusion
Various clinical and laboratory parameters are useful in predicting prolonged hospitalization among HIV-positive patients presenting to the ED. These parameters may be useful in guiding clinical decision making and directing the allocation of resources.
SUBMITTER: Laher AE
PROVIDER: S-EPMC8059827 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundDiagnostic errors occur frequently, especially in the emergency room. Estimates about the consequences of diagnostic error vary widely and little is known about the factors predicting error. Our objectives thus was to determine the rate of discrepancy between diagnoses at hospital admission and discharge in patients presenting through the emergency room, the discrepancies' consequences, and factors predicting them.MethodsProspective observational clinical study combined with a survey in a University-affiliated tertiary care hospital. Patients' hospital discharge diagnosis was compared with the diagnosis at hospital admittance through the emergency room and classified as similar or discrepant according to a predefined scheme by two independent expert raters. Generalized linear mixed-effects models were used to estimate the effect of diagnostic discrepancy on mortality and length of hospital stay and to determine whether characteristics of patients, diagnosing physicians, and context predicted diagnostic discrepancy.Results755 consecutive patients (322 [42.7%] female; mean age 65.14 years) were included. The discharge diagnosis differed substantially from the admittance diagnosis in 12.3% of cases. Diagnostic discrepancy was associated with a longer hospital stay (mean 10.29 vs. 6.90 days; Cohen's d 0.47; 95% confidence interval 0.26 to 0.70; P = 0.002) and increased patient mortality (8 (8.60%) vs. 25(3.78%); OR 2.40; 95% CI 1.05 to 5.5 P = 0.038). A factor available at admittance that predicted diagnostic discrepancy was the diagnosing physician's assessment that the patient presented atypically for the diagnosis assigned (OR 3.04; 95% CI 1.33-6.96; P = 0.009).ConclusionsDiagnostic discrepancies are a relevant healthcare problem in patients admitted through the emergency room because they occur in every ninth patient and are associated with increased in-hospital mortality. Discrepancies are not readily predictable by fixed patient or physician characteristics; attention should focus on context.Trial registrationhttps://bmjopen.bmj.com/content/6/5/e011585.
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