Evidence map›Paper›PMID 33518528›Full record

ArticleBMJ open2021

The relationship between obesity, hemoglobin A1c and the severity of COVID-19 at an urban tertiary care center in New York City: a retrospective cohort study.

Gurchetan Randhawa, Kunzah A Syed, Kavish Singh, Sanchit V Kundal, Sharad Oli, Michael Silver, Sumrah A Syed, Thanunthorn Suban Na Ayutthaya, Shanado Williams, Zachary L Lodato and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 29% of its field
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  7. Review
  8. Review
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

13 authors at 5 institutions in 2 countries.

Gurchetan RandhawaDepartment of Medicine, Maimonides Medical Center, Brooklyn, New York, USA grandhawa@maimonidesmed.org.ORCID 0000-0002-4645-7319
Kunzah A SyedDepartment of Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Kavish SinghDepartment of Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Sanchit V KundalDepartment of Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Sharad OliDepartment of Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Michael SilverDepartment of Research, Maimonides Medical Center, Brooklyn, New York, USA.
Sumrah A SyedDepartment of Family Medicine, Our Lady of Lourdes Memorial Hospital, Binghamton, New York, USA.
Thanunthorn Suban Na AyutthayaSt. George's University School of Medicine, True Blue, Grenada.
Shanado WilliamsSt. George's University School of Medicine, True Blue, Grenada.
Zachary L LodatoNYIT College of Osteopathic Medicine, Old Westbury, New York, USA.
Vladimir RozvadovskiyDepartment of Pharmacy, UConn Health, Farmington, Connecticut, USA.
Stephan KamholzDepartment of Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Lawrence WolfDepartment of Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Maimonides Medical Center · USSt. George's University · GDLourdes Hospital · USNew York Institute of Technology · USUConn Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine if obesity and diabetes are risk factors for severe outcomes in COVID-19 and to compare patient outcomes in those two conditions.

designRetrospective cohort study.

settingUrban tertiary care center in New York City.

participants302 patients admitted in an inpatient setting, ≥18 years old, with a laboratory-confirmed diagnosis of COVID-19 via nasal PCR swab were randomly selected. Patients were separated into two cohorts based on their body mass index and hemoglobin A1c. 150 patients were placed in the non-obese, non-diabetic cohort and 152 patients were placed in the corresponding cohort (obesity alone, obesity and diabetes, and diabetes alone). MEASUREMENTS: Primary outcomes were development of acute kidney injury, commencement of renal replacement therapy, aminotransferase elevation, troponin elevation, lactic acidosis, development of septic shock, use of vasopressors, presence of acute respiratory distress syndrome (ARDS) and intubation. The secondary outcomes were length of stay in days and mortality.

resultsPatients with obesity and/or diabetes were more likely to develop ARDS (79 patients vs 57 patients, p<0.0001) and to be intubated (71 patients vs 45 patients, p=0.0031). Patients with obesity and/or diabetes were more likely to require vasopressors (60 patients vs 41 patients, p=0.0284) and to develop lactic acidosis (median 3.15 mmol/L, IQR 1.8 to 5.2 mmol/L, p=0.0432). When comparing patients with diabetes with and without obesity against patients with obesity alone, they were more likely to develop ARDS (87.5%, p=0.0305). Despite these findings, there was no difference in mortality.

conclusionsIn patients hospitalised with COVID-19, those with obesity and/or diabetes were more likely to suffer severe complications, but had negligible differences in mortality. This highlights the importance of close monitoring of patients with these conditions and additional areas of research needed to explain the mortality findings.

Indexed as

COVID-19Diabetes MellitusObesityAcute Kidney InjuryBody Mass IndexComorbidityFemaleGlycated HemoglobinHumansMaleMiddle AgedMortalityNew York CityOutcome and Process Assessment, Health CareRandom AllocationRespiration, ArtificialGlycated HemoglobinCOVID-19diabetes & endocrinologyinfectious diseasesinternal medicine

Identifiers

PMID33518528
PMCPMC7852070
OpenAlexW3128167568

What OpenQuestion holds

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LicenceCC BY-NC
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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.