Evidence map›Paper›PMID 36041197›Full record

ArticleDiabetes care2022

In-Hospital Hyperglycemia Is Associated With Worse Outcomes in Patients Admitted With COVID-19.

Angela Lombardi, Shivani Agarwal, Clyde Schechter, Yaron Tomer

Abstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. [Current Status of Research on COVID-19 Patients With Concomitant Hyperglycemia and the Management Strategies of Hyperglycemia].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Review
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Angela LombardiEinstein-Mount Sinai Diabetes Research Center, The Norman Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY.ORCID 0000-0002-8978-1653
Shivani AgarwalEinstein-Mount Sinai Diabetes Research Center, The Norman Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY.ORCID 0000-0003-4506-3702
Clyde SchechterDepartment of Family and Social Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY.
Yaron TomerEinstein-Mount Sinai Diabetes Research Center, The Norman Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY.

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Mapping Autoimmune Diabetes and Thyroiditis GenesR01DK067555 · NIDDK · UNIVERSITY OF CINCINNATI · PI MIHAELA STEFAN LIFSHITZ, YARON TOMER · 2005 to 2026
$5.8M
Institutional Career Development CoreKL2TR002558 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MARANTZ, PAUL R · 2018 to 2022
$2.7M
NCATS NIH HHS KL2 TR002558NCATS NIH HHS UL1 TR002556NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK067555
6 · The paper itself

Abstract

objectiveDiabetes and the outpatient diabetes treatment regimen have been identified as risk factors for poor outcomes in patients with sepsis. However, little is known about the effect of tight inpatient glycemic control in the setting of coronavirus disease 2019 (COVID-19). Therefore, we examined the effect of hyperglycemia in patients with diabetes hospitalized because of COVID-19. RESEARCH DESIGN AND

methodsWe analyzed data from 1,938 COVID-19 patients with diabetes hospitalized for COVID-19 from March to May 2020 at a large academic medical center in New York City. Patients were divided into two groups based on their inpatient glycemic values, and a Cox proportional hazards regression model was used to assess the independent association of inpatient glucose levels with mortality (primary outcome) and the risk of requiring mechanical ventilation (MV) (secondary outcome).

resultsIn our analysis, 32% of the patients were normoglycemic and 68% hyperglycemic. Moreover, 31% of the study subjects died during hospitalization, and 14% required MV, with inpatient hyperglycemia being significantly associated with both mortality and the requirement for MV. Additionally, in the Cox regression analysis, after adjustment for potential confounders, including age, sex, race, BMI, HbA1c, comorbidities, inflammatory markers, and corticosteroid therapy, patients with uncontrolled hyperglycemia had a higher risk of dying (hazard ratio [HR] 1.54, 95% CI 1.00-2.36, P = 0.049) and of requiring MV (HR 4.41, 95% CI 1.52-2.81, P = 0.006) than those with normoglycemia.

conclusionsA tight control of inpatient hyperglycemia may be an effective method for improving outcomes in patients with diabetes hospitalized for COVID-19.

Indexed as

COVID-19Diabetes MellitusHyperglycemiaHospitalizationHospital MortalityHospitalsHumansRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID36041197
PMCPMC9679263

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.