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Predictors of readmission and mortality in adults with diabetes or stress hyperglycemia after initial hospitalization for COVID-19.
Chaugule, Akshata; Howard, Kyra; Simonson, Donald C; McDonnell, Marie E; Garg, Rajesh; Gopalakrishnan, Geetha; Mitri, Joanna; Lebastchi, Jasmin; Palermo, Nadine E; Westcott, Gregory; Weinstock, Ruth S.
Affiliation
  • Chaugule A; SUNY Upstate Medical University, Syracuse, New York, USA.
  • Howard K; Brown University, Providence, Rhode Island, USA.
  • Simonson DC; Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • McDonnell ME; Harvard Medical School, Boston, Massachusetts, USA.
  • Garg R; Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Gopalakrishnan G; Harvard Medical School, Boston, Massachusetts, USA.
  • Mitri J; University of Miami School of Medicine, Miami, Florida, USA.
  • Lebastchi J; Harbor-UCLA Medical Center, Torrance, California, USA.
  • Palermo NE; Brown University, Providence, Rhode Island, USA.
  • Westcott G; Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Weinstock RS; Brown University, Providence, Rhode Island, USA.
BMJ Open Diabetes Res Care ; 12(3)2024 Jun 27.
Article in En | MEDLINE | ID: mdl-38937276
ABSTRACT

INTRODUCTION:

We previously reported predictors of mortality in 1786 adults with diabetes or stress hyperglycemia (glucose>180 mg/dL twice in 24 hours) admitted with COVID-19 from March 2020 to February 2021 to five university hospitals. Here, we examine predictors of readmission. RESEARCH DESIGN AND

METHODS:

Data were collected locally through retrospective reviews of electronic medical records from 1786 adults with diabetes or stress hyperglycemia who had a hemoglobin A1c (HbA1c) test on initial admission with COVID-19 infection or within 3 months prior to initial admission. Data were entered into a Research Electronic Data Capture (REDCap) web-based repository, and de-identified. Descriptive data are shown as mean±SD, per cent (%) or median (IQR). Student's t-test was used for comparing continuous variables with normal distribution and Mann-Whitney U test was used for data not normally distributed. X2 test was used for categorical variable.

RESULTS:

Of 1502 patients who were alive after initial hospitalization, 19.4% were readmitted; 90.3% within 30 days (median (IQR) 4 (0-14) days). Older age, lower estimated glomerular filtration rate (eGFR), comorbidities, intensive care unit (ICU) admission, mechanical ventilation, diabetic ketoacidosis (DKA), and longer length of stay (LOS) during the initial hospitalization were associated with readmission. Higher HbA1c, glycemic gap, or body mass index (BMI) were not associated with readmission. Mortality during readmission was 8.0% (n=23). Those who died were older than those who survived (74.9±9.5 vs 65.2±14.4 years, p=0.002) and more likely had DKA during the first hospitalization (p<0.001). Shorter LOS during the initial admission was associated with ICU stay during readmission, suggesting that a subset of patients may have been initially discharged prematurely.

CONCLUSIONS:

Understanding predictors of readmission after initial hospitalization for COVID-19, including older age, lower eGFR, comorbidities, ICU admission, mechanical ventilation, statin use and DKA but not HbA1c, glycemic gap or BMI, can help guide treatment approaches and future research in adults with diabetes.
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Full text: 1 Database: MEDLINE Main subject: Patient Readmission / Glycated Hemoglobin / Diabetes Mellitus / SARS-CoV-2 / COVID-19 / Hyperglycemia Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Patient Readmission / Glycated Hemoglobin / Diabetes Mellitus / SARS-CoV-2 / COVID-19 / Hyperglycemia Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Year: 2024 Type: Article