Evidence map›Paper›PMID 39538148›Full record

ArticleBMC public health2024

COVID-19 and pregnancy: a comprehensive study of comorbidities and outcomes.

Shang-Ming Zhou, Hossein Ahmadi, Lin Huo, Lisa M Lix, Kate Maslin, Jos M Latour, Jill Shawe

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  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

7 authors.

Shang-Ming ZhouCentre for Health Technology, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK. shangming.zhou@plymouth.ac.uk.
Hossein AhmadiCentre for Health Technology, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK.
Lin HuoInternational College, Guangxi University, Nanning, 530000, China.
Lisa M LixDepartment of Community Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, R3E 0W3, Canada.
Kate MaslinSchool of Nursing and Midwifery, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK.
Jos M LatourSchool of Nursing and Midwifery, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK.
Jill ShaweSchool of Nursing and Midwifery, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK.

Funding

EPSRC Centre for Doctoral Training in Artificial Intelligence, Machine Learning and Advanced Computing EP/S023992/1European Regional Development Fund eHealth Productivity and Innovation in Cornwall and The Isles of ScillyNational Social Science Foundation of China 16ZDA0092
6 · The paper itself

Abstract

objectivesThis study aimed to investigate the impact of pregnancy and pre-existing comorbidities on COVID-19 infections and associated complications of hospitalisation and mortality in women of reproductive age (WRA). The study also compared the risk of severe COVID-19 complications between pregnant women (PW) and non-pregnant women (NPW) with and without pre-existing comorbidities. Special focus was placed on some understudied comorbidities of immunosuppression, chronic renal disease and chronic obstructive pulmonary disease (COPD).

methodsThe study utilized anonymized patient-related information for a population of 7,342,869 WRA from the Mexican Ministry of Health data repository on COVID-19. Descriptive variables were characterized using frequencies, percentages, means, and standard deviations. Adjusted odds ratios (aORs) were used to assess the associations between risk factors and outcomes of hospitalisation and mortality. The study covered the entire COVID-19 pandemic period from January 30, 2020, to May 5, 2023.

resultsThe findings revealed that PW were not more likely to get COVID-19 infections than NPW. PW with COVID-19 infections were more likely to require hospital admission, intubation treatments, and ICU admission compared to NPW with COVID-19. PW with immunosuppression had an increased odds ratio (aOR) of getting COVID-19 infections compared to NPW (PW: aOR = 1.0396; NPW: aOR = 0.8373). NPW with immunosuppression had higher risk of mortality (all-cause death: aOR = 1.7084; COVID-19-associated death: aOR = 1.4079) and hospitalisation (all-cause hospitalisation: aOR = 4.1328; COVID-19-associated hospitalisation: aOR = 3.0451) than NPW without immunosuppression. Renal disease was identified as a concerning pre-existing condition that increased the risks of COVID-19 associated mortality/hospitalizations and all-cause mortality/hospitalizations for both PW and NPW. NPW with renal disease had much higher odds ratio (aOR) of either COVID-19-associated-hospitalisations (NPW: aOR = 8.639; PW: aOR = 1.7603) or all-cause hospitalisations (NPW: aOR = 8.8594; PW: aOR = 1.786) than PW with renal disease.

conclusionsThis study provides valuable insights into the impact of pregnancy and pre-existing comorbidities on COVID-19 outcomes in WRA. The findings underscore the importance of considering demographic factors and pre-existing comorbidities in the management of PW with COVID-19. The study also highlights the need for further research to understand the unique impacts of different comorbidities, particularly immunosuppression and renal disease, on COVID-19 outcomes in WRA.

Indexed as

ComorbidityCOVID-19HospitalizationPregnancy Complications, InfectiousAdolescentAdultFemaleHumansMexicoMiddle AgedPregnancyPregnancy OutcomeRisk FactorsSARS-CoV-2Young AdultComorbiditiesCOVID-19DiabetesHospitalisationImmunosuppressionMortalityObesityPneumoniaPregnancyRenal disease

Identifiers

PMID39538148
PMCPMC11562717

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.