Evidence map›Paper›PMID 40855381›Full record

ArticleInternational urology and nephrology2026

Mortality Trends from Acute MI with Underlying CKD in the US from 1999 to 2020: A Cross-Sectional Analysis of the CDC WONDER Database.

Rayyan Nabi, Muhammad Hussain Mansoor, Muhammad Hassan Shahbaz, Maryam Kharal, Noor Fatima, Syeda Tayyaba Munir, Sana Shahbaz, Bariqa Mujeeb, Rauha Fatima, Kirsh and 4 more

Abstract read
In one paragraph

Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Rayyan NabiIslamic International Medical College, Riphah International University, Islamabad, Pakistan.ORCID http://orcid.org/0009-0001-9409-652X
Muhammad Hussain MansoorNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0002-9384-2241
Muhammad Hassan ShahbazNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0006-7780-3794
Maryam KharalNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0008-2796-5677
Noor FatimaNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0003-1619-4532
Syeda Tayyaba MunirNational Health Services, London, UK.ORCID http://orcid.org/0009-0001-1383-2055
Sana ShahbazNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0004-4905-3143
Bariqa MujeebNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0001-7995-838X
Rauha FatimaNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0003-7466-7238
KirshZiauddin Medical College, Karachi, Pakistan.
Muhammad Salman NadeemNishtar Medical University, Multan, Pakistan.ORCID http://orcid.org/0009-0009-6050-3279
Syeda Tahira MunirNational Health Services, London, UK.ORCID http://orcid.org/0009-0008-4351-4956
Abdullah Nawaz RaiServices Hospital, Lahore, Pakistan.ORCID http://orcid.org/0009-0008-7712-987X
Raheel AhmedNational Heart and Lung Institute, Imperial College London, London, UK. R.ahmed21@imperial.ac.uk.ORCID http://orcid.org/0000-0003-2814-7314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChronic kidney disease increases the risk of acute myocardial infarction and worsens outcomes. Despite advances in care, mortality rate disparities regarding gender, race and socioeconomic status persist. This study examines trends in acute myocardial infarction-related mortality among chronic kidney disease patients in the United States from 1999 to 2020.

methodsWe analyzed mortality data from the CDC WONDER database, identifying deaths with acute myocardial infarction (International Classification of Diseases, 10th Revision [ICD-10] codes I21-I22) as the underlying cause and chronic kidney disease (ICD-10 N18) as a contributing cause. Age-adjusted mortality rates per 100,000, standardized to the 2000 US population, were calculated and stratified by sex, race/ethnicity, urbanization, and state. Trends were assessed using Joinpoint regression to estimate annual percentage change with 95% confidence intervals.

resultsA total of 72,780 acute myocardial infarction-related deaths in chronic kidney disease patients aged 25-85 years occurred from 1999 to 2020. The age adjusted mortality rate declined from 2.46 in 1999 to 0.99 in 2020 (annual percent change: -4.09; 95% CI -5.54 to -2.60). Men had higher mortality than women (age adjusted mortality rate: 2.11 vs. 1.13). Non-Hispanic Black individuals had the highest age adjusted mortality rate (2.90). Nonmetropolitan areas showed higher rates than metropolitan areas (1.63 vs. 1.51). A significant increase in mortality was observed among Hispanic patients from 2015 to 2020 (annual percent change: 8.15; 95% CI 1.13-15.65).

conclusionsAcute myocardial infarction-related mortality in chronic kidney disease patients has declined overall, but persistent disparities by sex, race/ethnicity, and geography highlight the need for continued efforts and targeted interventions in this high-risk population.

Indexed as

Myocardial InfarctionRenal Insufficiency, ChronicAdultAgedAged, 80 and overCross-Sectional StudiesDatabases, FactualFemaleHumansMaleMiddle AgedUnited StatesAcute myocardial infarctionCDC WONDERChronic kidney diseaseHealth disparitiesMortality trends

Identifiers

PMID40855381
PMCPMC12864192

What Socratic holds

Textmetadata
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.