Evidence map›Paper›PMID 37273392›Full record

ArticleCureus2023

Trends of Cardiovascular Interventions Stratified by Body Mass Index: An Analysis of the 2016-2020 Nationwide Inpatient Sample Population.

Endurance O Evbayekha, Henry O Aiwuyo, Jessica C Obonna, Okelue E Okobi, Jenny J Onyema, Enoobong Aderonke Adedoye, Mujeeb A Salawu, Uchechukwu O Ogbonna, Jane N Nwafor, Oluwasayo J Owolabi and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

15 authors at 15 institutions in 6 countries.

Endurance O EvbayekhaInternal Medicine, St. Luke's Hospital, Chesterfield, USA.
Henry O AiwuyoInternal Medicine, Brookdale University Hospital Medical Center, Brooklyn, USA.
Jessica C ObonnaEpidemiology and Public Health, Memorial University of Newfoundland, St. John's, CAN.
Okelue E OkobiFamily Medicine, Medficient Health Systems, Laurel, USA.
Jenny J OnyemaFamily Medicine, Park Plaza Medical Clinic, Edmonton, CAN.
Enoobong Aderonke AdedoyeInternal Medicine, Mater Dei Hospital, Msida, MLT.
Mujeeb A SalawuInternal Medicine and Psychiatry, Houston Health Department, Houston, USA.
Uchechukwu O OgbonnaSurgery, Barau Dikko Teaching Hospital, Kaduna, NGA.
Jane N NwaforInternal Medicine, University of the District of Columbia, Silver Spring, USA.
Oluwasayo J OwolabiPsychiatry, Lugansk State Medical University, Lugansk, UKR.
Elochukwu U NwachukwuFamily Medicine, University of Uyo Teaching Hospital, Uyo, NGA.
Chioma Ezuma-EbongInternal Medicine, Angelic Care Hospital, Abuja, NGA.
Brume J BekibeleThe Cancer Center, The Ottawa Hospital, Ottawa, CAN.
Precious A AkinsanyaOncology, Holy Name Medical Center, Teaneck, USA.
Theresa O AkeweFamily Medicine, University of Benin, Benin City, NGA.
Angela Boškin Faculty of Health Care · SIBrookdale University Hospital and Medical Center · USCommunity Medical Center · USHoly Name Medical Center · USHouston Health and Human Services Department · USKaduna State University · NGLuhansk State Medical University · UAMater Dei Hospital · MTMemorial University of Newfoundland · CAOttawa Hospital · CAPark Plaza Hospital · USSt. Luke's Hospital · USUniversity of the District of Columbia · USUniversity of Uyo Teaching Hospital · NGVirtua Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background There is a scarcity of studies delineating the trends of cardiovascular interventions in the hospitalized population stratified by body mass index (BMI). Our study aimed to study the burden of cardiovascular interventions and outcomes by BMI. Methods We retrospectively analyzed the Nationwide Inpatient Sample (NIS) database between January 2016 and December 2020. We identified the population of interest using the International Classification of Diseases, Tenth Revision (ICD-10) code. We studied the BMI in five categories: "healthy weight" (HW; BMI < 19.9-24.9 kg/m2), "overweight" (OV; BMI = 25-29.9 kg/m2), "obesity class one" (OB1; BMI = 30-34.9 kg/m2), "obesity class two" (OB2; BMI = 35-39.9 kg/m2), and "obesity class three" (OB3; BMI > 40 kg/m2). Results There were 5,654,905 hospitalizations with an ICD-10 code related to BMI within this study period. The HW group had 1,103,659 (19.5%) hospitalizations, the OV group had 462,464 (8.2%), the OB1 group had 1,095,325 (19.4%), the OB2 group had 1,036,682 (18.3%), and the OB3 group had 1,956,775 (34.6%) hospitalizations. The mean age of the population with obesity was as follows: OB1 = 61 years (SD = 16); OB2 = 58 years (SD = 15.9); and OB3 = 55 years (SD = 15.5). The mean ages of the HW and OV groups were 68 years (SD = 16.6) and 65 years (SD = 16.1), respectively. In the HW group, there were 948 (8.1%) hospital admissions for aortic valve replacement (AVR), 54 (11%) for aortic valve repair (AVRr), 737 (15.9%) for mitral valve replacement (MVRr), 12 (17.1%) for mitral valve repair (MVR), 79 (2.2%) for left atrial appendage (LAA) closure, and 3390 (5.2%) for percutaneous coronary intervention (PCI). The OV group had 1049 (8.9%) hospital admissions for AVRs, 42 (9%) for AVRr, 461 (10%) for MVRr, four (5.7%) for MVR, 307 (8.6%) for LAA closure, and 5703 (8.8%) for PCIs. The OB1 group had 3326 (28.4%) hospital admissions for AVR, 125 (26.9%) for AVRr, 1229 (26.7%) for MVRr, 23 (32.9%) for MVR, 1173 (32.9%) for LAA, and 20,255 (31.3%) for PCI, while the OB2 group had 2725 (23.3%) hospital admissions for AVR, 105 (22.6%) for AVRr, 898 (19.4%) for MVRr, 11 (15.7%) for MVR, 933 (26.2%) for LAA, and 16,773 (25.9%) for PCI. Lastly, the OB3 group had 3626 (31%) hospital admissions for AVR, 139 (29.9%) for AVRr, 1285 (27.8%) for MVRr, 20 (28.6%) for MVR, 1063 (29.9%) for LAA, and 18,589 (28.7%) for PCI. Conclusion Our study supports the evidence of increased cardiovascular interventions with increasing BMI. Albeit, an inconsistent presentation across the spectrum of cardiovascular diseases and outcomes, for example, equal or better outcomes in obese cohorts compared to the healthy weight population undergoing PCI. However, the increasing cardiovascular intervention burden in the youngest studied population suggests a rise in the cardiovascular disease burden among the young and partially explains their better outcomes. Steps to include weight management for these patients are paramount.

Indexed as

cardiometabolic healthcardiovascular interventionscardiovascular outcomesnationwide inpatient sample (nis)obesityweight lossweight management

Identifiers

PMID37273392
PMCPMC10239282
OpenAlexW4368342778

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.