Evidence map›Paper›PMID 37017913›Full record

ArticleAdvances in therapy2023

Type 2 Myocardial Infarction and Long-Term Mortality Risk Factors: A Retrospective Cohort Study.

Rokas Šerpytis, Mindaugas Lizaitis, Egle Majauskienė, Petras Navickas, Sigita Glaveckaitė, Žaneta Petrulionienė, Nomeda Valevičienė, Aleksandras Laucevičius, Qin M Chen, Joseph S Alpert and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. Article
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

11 authors at 2 institutions in 2 countries.

Rokas ŠerpytisClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania. rokas.serpytis@santa.lt.ORCID 0000-0001-6833-4646
Mindaugas LizaitisClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Egle MajauskienėClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Petras NavickasClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Sigita GlaveckaitėClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Žaneta PetrulionienėClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Nomeda ValevičienėFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Aleksandras LaucevičiusClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Qin M ChenDepartment of Medicine, University of Arizona Medical School, Tucson, USA.
Joseph S AlpertDepartment of Medicine, University of Arizona Medical School, Tucson, USA.
Pranas ŠerpytisClinic of Heart and Vessel Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Vilnius University · LTBanner - University Medical Center Tucson · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn-hospital risk factors for type 1 myocardial infarction (MI) have been extensively investigated, but risk factors for type 2 MI are still emerging. Moreover, type 2 MI remains an underdiagnosed and under-researched condition. Our aim was to assess survival rates after type 2 MI and to analyze the risk factors for patient prognosis after hospitalization.

methodsWe conducted a retrospective database analysis of patients with MI diagnosis who were treated in Vilnius University Hospital Santaros Klinikos. A total of 6495 patients with the diagnosis of MI were screened. The primary study endpoint was long-term all-cause mortality. The predictive value of laboratory tests was estimated including blood hemoglobin, D dimer, creatinine, brain natriuretic peptide (BNP), C-reactive protein (CRP), and troponin levels.

resultsOut of all the patients diagnosed with MI there were 129 cases of type 2 MI (1.98%). Death rate almost doubled from 19.4% at 6 months to 36.4% after 2 years of follow-up. Higher age and impaired kidney function were risk factors for death both during hospitalization and after 2 years of follow-up. Lower hemoglobin (116.6 vs. 98.9 g/L), higher creatinine (90 vs. 161.9 μmol/L), higher CRP (31.4 vs. 63.3 mg/l), BNP (707.9 vs. 2999.3 ng/L), and lower left ventricle ejection fraction were all predictors of worse survival after 2 years of follow-up. Preventive medication during hospitalization can decrease the mortality risk: angiotensin-converting enzyme inhibitor (ACEi) (HR 0.485, 95% CI 0.286-0.820) and statins (HR 0.549, 95% CI 0.335-0.900). No significant influence was found for beta blockers (HR 0.662, 95% CI 0.371-1.181) or aspirin (HR 0.901, 95% CI 0.527-1.539).

conclusionsThere is significant underdiagnosis of type 2 MI (1.98% out of all MIs). If the patient is prescribed a preventive medication like ACEi or statins, the mortality risk is lower. Increased awareness of elevation of laboratory results could help to improve the treatment of these patients and identify the most vulnerable groups.

Indexed as

Hydroxymethylglutaryl-CoA Reductase InhibitorsMyocardial InfarctionAngiotensin-Converting Enzyme InhibitorsC-Reactive ProteinCreatinineHumansNatriuretic Peptide, BrainPrognosisRetrospective StudiesRisk FactorsAngiotensin-Converting Enzyme InhibitorsC-Reactive ProteinCreatinineHydroxymethylglutaryl-CoA Reductase InhibitorsNatriuretic Peptide, BrainAcute cardiovascular eventsBNPCardiovascular outcomesTroponinType 2 myocardial infarction

Identifiers

PMID37017913
OpenAlexW4362602658

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.