Predictors of maternal mortality and near-miss maternal morbidity.
OBJECTIVE: To identify risk factors for life-threatening maternal outcomes. STUDY DESIGN: Hospital charts were reviewed for cases of maternal mortality or near-miss and for controls overmatched 1:3. Significant risk factors were identified through simple and best subsets multiple logistic regression...
| Publicado en: | Journal of Perinatology Vol. 27; no. 10; pp. 597 - 602 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Oct2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106002472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106002472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07438346 DZF jtl: Journal of Perinatology issn: 07438346 maglogo: Y pubinfo: dt: Oct2007 vid: 27 iid: 10 pid: 2579 pub: Springer Nature place: Dordrecht, <Blank> artinfo: ui: 106002472 2009682837 10.1038/sj.jp.7211810 NLM17703181 106002472 ppf: 597 ppct: 5 formats: fmt: @attributes: type: P tig: atl: Predictors of maternal mortality and near-miss maternal morbidity. aug: au: Goffman D Madden RC Harrison EA Merkatz IR Chazotte C sug: subj: Maternal Mortality Female Logistic Regression New York Obesity Epidemiology Pregnancy Risk Factors Socioeconomic Factors Urban Population Human Female ab: OBJECTIVE: To identify risk factors for life-threatening maternal outcomes. STUDY DESIGN: Hospital charts were reviewed for cases of maternal mortality or near-miss and for controls overmatched 1:3. Significant risk factors were identified through simple and best subsets multiple logistic regression. RESULT: Eight cases of mortality and 69 near-miss cases were found. Significant risk factors with their odds ratios and 95% confidence intervals are: age 35 to 39 years (2.3, 1.2 to 4.4) and >39 years (5.1, 1.8 to 14.4); African-American race (7.4, 2.5 to 22.0) and Hispanic ethnicity (4.2, 1.3 to 13.2); chronic medical condition (2.7, 1.5 to 4.8); obesity (3.0, 1.7 to 5.3); prior cesarean (5.2, 2.8 to 9.8) and gravidity (1.2, 1.1 to 1.5 per pregnancy). In multivariable logistic regression, race remained significant while controlling for other significant factors and markers of socioeconomic status. CONCLUSION: Some risk factors can be modified through medical care, education or social support systems. Racial disparity in outcome is confirmed and is unexplained by traditional risk factors. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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