Evidence map›Paper›PMID 33460425›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2021

Urinary Alpha1-Microglobulin: A New Predictor for In-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infarction.

Hehe Cui, Xiao Zhang, Xiaosong Ding, Li Zhou, Siwen Liang, Hui Qiu, Hongwei Li, Hui Chen

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. 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
0.5field-weighted citation impact, top 36% 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.

  1. 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

8 authors at 3 institutions in 1 country.

Hehe CuiDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Metabolic Disorder-Related Cardiovascular Disease, Beijing, China (mainland).
Xiao ZhangPeking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China (mainland).
Xiaosong DingDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Metabolic Disorder-Related Cardiovascular Disease, Beijing, China (mainland).
Li ZhouDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Metabolic Disorder-Related Cardiovascular Disease, Beijing, China (mainland).
Siwen LiangDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Metabolic Disorder-Related Cardiovascular Disease, Beijing, China (mainland).
Hui QiuDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Metabolic Disorder-Related Cardiovascular Disease, Beijing, China (mainland).
Hongwei LiDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Metabolic Disorder-Related Cardiovascular Disease, Beijing, China (mainland).
Hui ChenDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Metabolic Disorder-Related Cardiovascular Disease, Beijing, China (mainland).
Beijing Friendship Hospital · CNCapital Medical University · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Alpha1-microglobulin (A1MG) is a small molecular protein related to oxidation and inflammation. It exists in diverse body fluids, including urine. Results from urine tests are sometimes neglected when predicting in-hospital prognosis. It remains unclear whether urinary A1MG (UA1MG) can predict short-term prognosis of ST-elevated myocardial infarction (STEMI). MATERIAL AND METHODS A total of 1854 hospitalized patients with acute STEMI were retrospectively enrolled in our study. Medical records were used to obtain patient demographic and clinical information, UA1MG values (which were used to divide patients into groups of low, medium, or high), and other laboratory parameters. Principal clinical outcomes of interest were all-cause in-hospital deaths, cardiac deaths, and major adverse cardiac events (MACEs). RESULTS Among the 1854 enrolled patients, 43 (2.3%) died in the hospital, of which 33 (1.8%) were cardiac deaths. MACEs were noted in 113 patients (6.1%) during hospitalization. The group with the highest UA1MG value showed a significantly higher frequency of in-hospital deaths, cardiac deaths, and MACEs, compared to those of the lowest UA1MG value group (4.4% vs. 1.0%, P<0.001; 3.1% vs. 0.6%, P<0.005; and 8.6% vs. 4.7%, P=0.007, respectively). Multivariate regression analysis revealed that UA1MG levels (odds ratio 1.109, 95% confidence interval (CI) 1.027-1.197, P=0.008) independently predicted all-cause in-hospital mortality. A UA1MG value of 3.23 mg/dL was considered as an optimal cutoff point in STEMI to predict all-cause mortality after receiver operating characteristic curve analysis (area under the curve 0.73, 95% CI 0.65-0.80, P<0.001). CONCLUSIONS The UA1MG value at hospital admission could be an independent prognostic factor of all-cause in-hospital mortality in patients with STEMI.

Indexed as

AgedAlpha-GlobulinsBiomarkersFemaleHospital MortalityHumansMaleMiddle AgedPatient AdmissionST Elevation Myocardial Infarctionalpha-1-microglobulinAlpha-GlobulinsBiomarkers

Identifiers

PMID33460425
PMCPMC7821442
OpenAlexW3121978020

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.