Evidence map›Paper›PMID 29455380›Full record

ArticleHeart and vessels2018

Clinical features and peripartum outcomes in pregnant women with cardiac disease: a nationwide retrospective cohort study in Japan.

Toshiaki Isogai, Hiroki Matsui, Hiroyuki Tanaka, Akira Kohyama, Kiyohide Fushimi, Hideo Yasunaga

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
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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

6 authors at 3 institutions in 1 country.

Toshiaki IsogaiDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. toisogai-circ@umin.ac.jp.ORCID http://orcid.org/0000-0002-2172-6447
Hiroki MatsuiDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Hiroyuki TanakaDepartment of Cardiology, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.
Akira KohyamaDepartment of Obstetrics and Gynecology, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.
Kiyohide FushimiDepartment of Health Policy and Informatics, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Tokyo Metropolitan Tama Medical Center · JPThe University of Tokyo · JPTokyo Medical and Dental University · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology 17H04141Ministry of Health, Labour and Welfare H29-ICT-General-004Ministry of Health, Labour and Welfare H29-Policy-Designated-009
6 · The paper itself

Abstract

Although the number of pregnancies in women with cardiac disease is increasing worldwide, there are few data concerning their clinical characteristics and peripartum outcomes. Using the Diagnosis Procedure Combination database between 2008 and 2014 in Japan, we retrospectively identified pregnant women who underwent high-risk delivery due to obstetric or non-obstetric comorbidities. We classified eligible women into those with pre-existing cardiac disease (cardiac disease group) and those with non-cardiac comorbidities (non-cardiac disease group) and compared their characteristics and peripartum outcomes. Of 94,364 women undergoing high-risk delivery at 556 hospitals, 857 (0.91%) had pre-existing cardiac disease (302, congenital heart disease; 190, arrhythmia; 176, valvular heart disease; 120, ischemic heart disease; 65, cardiomyopathy; 4, pericardial disease). Women in the cardiac disease group were more likely to be treated at university hospitals (51.1 versus 28.6%; p < 0.001) and in intensive care units (33.5 versus 18.8%; p < 0.001) than those in the non-cardiac disease group. The proportion of cesarean deliveries was 69.4% (emergency, 28.4%; elective, 41.1%) in the cardiac disease group and 73.4% (emergency, 38.4%; elective, 35.0%) in the non-cardiac disease group. Epidural analgesia during vaginal delivery was used significantly more frequently in the cardiac disease than non-cardiac disease group (15.6 versus 2.3%; p < 0.001). Heart failure occurred more frequently in the cardiac disease than the non-cardiac disease group (10.2 versus 0.3%; p < 0.001). In cardiac subgroup comparisons, heart failure occurred more frequently in women with congenital heart disease (12.3%), valvular heart disease (12.5%), or cardiomyopathy (12.3%) than in women with arrhythmia (6.3%) or ischemic heart disease (5.8%). Multivariable logistic regression analysis showed a significant positive association between pre-existing cardiac disease and risk of heart failure (adjusted odds ratio, 24.7; 95% confidence interval, 17.6-34.6; p < 0.001). No woman in the cardiac disease group died, whereas 18 women (0.02%) in the non-cardiac disease group did (p = 1.000). These findings suggest that pregnant women with pre-existing cardiac disease are at a higher risk of heart failure during the peripartum period than those with non-cardiac comorbidities.

Indexed as

Disease ManagementInpatientsPeripartum PeriodRisk AssessmentAdultFemaleFollow-Up StudiesHumansIncidenceInfant, NewbornJapanPregnancyPregnancy Complications, CardiovascularPregnancy OutcomeRetrospective StudiesRisk FactorsCardiac diseaseCongenital heart diseaseDeliveryHeart failurePregnancy

Identifiers

PMID29455380
OpenAlexW2789838745

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.