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Record W3194228537 · doi:10.1093/humrep/deab130.641

P–642 Does Conn’s syndrome (Primary hyper-aldosteronism) affect pregnancy and neonatal outcomes? A population based study of over 9 million deliveries

2021· article· en· W3194228537 on OpenAlexaff
Einav Kadour‐Peero, Haitham Baghlaf, Ahmad Badeghiesh, Michael H. Dahan

Bibliographic record

VenueHuman Reproduction · 2021
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineHealthcare Cost and Utilization ProjectPregnancyPopulationObstetricsRetrospective cohort studyCohortConfoundingPrimary aldosteronismLogistic regressionCohort studyGestational hypertensionPediatricsGynecologyPreeclampsiaHealth careInternal medicineEnvironmental healthAldosterone

Abstract

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Abstract Study question Does primary hyperaldosteronism(PA) confer an independent risk for adverse pregnancy or neonatal outcomes, based on analysis of the Healthcare-Cost and Utilization Project-Nationwide Inpatient Sample(HCUP-NIS) database? Summary answer After controlling for all significant confounders, women with PA are at increased risk for gestational hypertension, eclampsia, and operative vaginal delivery, but unexpectedly not preeclampsia What is known already PA is extremely rare in pregnancy, and our current knowledge regarding PA during pregnancy is derived only from case reports and series. No pregnancy control studies exist in the literature for this endocrinopathy. PA is characterized by autonomous aldosterone and suppressed rennin production from the adrenals. Caused by adenomas or hyperplasia, it presents with hypertension and hypokalaemia. Study design, size, duration This is a retrospective population-based cohort study utilizing data from the HCUP-NIS from 2004 to 2014, inclusively. A cohort of all deliveries during the study period was created. Within this group, all deliveries to women with PA were identified as part of the study group (n = 102), and the remaining deliveries were categorized as the reference group (n = 9,096,686). Participants/materials, setting, methods HCUP-NIS is the largest inpatient sample database in the USA and is comprised of hospital stays throughout the country. It provides information relating to seven million inpatient stays yearly, includes 20% of admissions, and represents over 96% of the American population. Multivariate logistic regression, controlling for confounders, was conducted to explore associations between PA and delivery outcomes. According to the Tri-Council Policy Statement (2018), IRB-approval was not required, given data was anonymous and publicly available. Main results and the role of chance Women with PA were older(P = 0.0001), more likely obese(10.8% vs. 3.6%), with higher rates of chronic hypertension(53.9% vs. 1.8%), thyroid disease(15.7% vs. 2.5%), pre-gestational diabetes(5.9% vs. 1%)(all P = 0.0001), and were more commonly African American and not Hispanic(P = 0.04) than the controls. There was no statistical difference between the two groups in the other demographic features including; income distribution(P = 0.45), hospital type (P = 0.63), rates of smoking(P = 0.99), illicit drug use(P = 0.73) or use of assisted reproductive technology(P = 0.94). After adjustment for significant confounders women with PA were more likely to experience gestational hypertension(aOR 3.6 95%CI:1.6–8.1, P = 0.001) and eclampsia(aOR 19.0, 95%CI:2.6–138.2, P = 0.004). Moreover, women with PA were more likely to deliver by operative vaginal delivery(aOR 9.7 95%CI:6.3–15.1, P = 0.0001). However, there was no increased risk for preeclampsia in women with PA(aOR 1.47 95%CI:0.78–2.76, P = 0.23). This finding was consistent even when not controlling for confounding effects including pre-gestational hypertention(OR 0.81 95%CI:0.26–2.56, P = 0.72. There were no differences in the number of women with PPROM(P = 0.81), preterm delivery(P = 0.88), placental abruptio(P = 0.7), maternal death(P = 0.99), hysterectomy(P = 0.99), cesarean section(P = 0.76), chorioamnionitis(P = 0.99), postpartum hemorrhage (P = 0.53), maternal infection(P = 0.99), pulmonary embolism(P = 0.99) or disseminated intravascular coagulation(P = 0.99) between the two groups. Furthermore, there was no difference in other neonatal outcomes including: small for gestational age(P = 0.18), fetal demise(P = 0.85) or congenital anomalies(P = 0.15). Limitations, reasons for caution This is a retrospective analysis utilizing an administrative database that relies on data coding accuracy and consistency. Wider implications of the findings: Women with PA were more likely to experience adverse pregnancy outcomes, including gestational hypertension, eclampsia, and operative vaginal deliveries. Neonatal complications were not increased in PA. Surprisingly, there was no increased risk for preeclampsia in women with PA, which needs to be further studied. Trial registration number NA

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.283
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
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