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Mann S, James KF. Elective Induction of Labor May Have Negative Effects at the Hospital Level. J Obstet Gynecol Neonatal Nurs 2024:S0884-2175(24)00294-6. [PMID: 39396805 DOI: 10.1016/j.jogn.2024.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 08/29/2024] [Accepted: 09/16/2024] [Indexed: 10/15/2024] Open
Abstract
Labor induction increased in the United States after the publication of A Randomized Trial of Induction Versus Expectant Management (ARRIVE) in 2018. During this trial, investigators found that elective induction at 39 weeks in low-risk nulliparous women led to similar perinatal outcomes when compared to expectant management. However, other researchers have since linked rising labor induction rates to worse hospital- and population-level outcomes. It is possible that elective induction of labor has a neutral effect on patients who are induced while at the same time lessening hospital capacity to care for other maternity patients, which leads to a negative effect on patient outcomes overall. During a trial, this represents a form of negative spillover, in which an intervention indirectly harms the comparison group and leads to overestimation of intervention benefit. Although further research is needed, evidence from ARRIVE and subsequent studies provides preliminary support for this possibility.
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Savelli Binsted AC, Saade G, Kawakita T. External validation and comparison of four prediction scores for severe maternal morbidity. Am J Obstet Gynecol MFM 2024; 6:101471. [PMID: 39179157 DOI: 10.1016/j.ajogmf.2024.101471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 08/05/2024] [Accepted: 08/13/2024] [Indexed: 08/26/2024]
Abstract
BACKGROUND Severe maternal morbidity (SMM) is increasing in the United States. Several tools and scores exist to stratify an individual's risk of SMM. OBJECTIVE We sought to examine and compare the validity of four scoring systems for predicting SMM. STUDY DESIGN This was a retrospective cohort study of all individuals in the Consortium on Safe Labor dataset, which was conducted from 2002 to 2008. Individuals were excluded if they had missing information on risk factors. SMM was defined based on the Centers for Disease Control and Prevention excluding blood transfusion. Blood transfusion was excluded due to concerns regarding the specificity of International Classification of Diseases codes for this indicator and its variable clinical significance. Risk scores were calculated for each participant using the Assessment of Perinatal Excellence (APEX), California Maternal Quality Care Collaborative (CMQCC), Obstetric Comorbidity Index (OB-CMI), and modified OB-CMI. We calculated the probability of SMM according to the risk scores. The discriminative performance of the prediction score was examined by the areas under receiver operating characteristic curves and their 95% confidence intervals (95% CI). The area under the curve for each score was compared using the bootstrap resampling. Calibration plots were developed for each score to examine the goodness-of-fit. The concordance probability method was used to define an optimal cutoff point for the best-performing score. RESULTS Of 153, 463 individuals, 1115 (0.7%) had SMM. The CMQCC scoring system had a significantly higher area under the curve (95% CI) (0.78 [0.77-0.80]) compared to the APEX scoring system, OB-CMI, and modified OB-CMI scoring systems (0.75 [0.73-0.76], 0.67 [0.65-0.68], 0.66 [0.70-0.73]; P<.001). Calibration plots showed excellent concordance between the predicted and actual SMM for the APEX scoring system and OB-CMI (both Hosmer-Lemeshow test P values=1.00, suggesting goodness-of-fit). CONCLUSION This study validated four risk-scoring systems to predict SMM. Both CMQCC and APEX scoring systems had good discrimination to predict SMM. The APEX score and the OB-CMI had goodness-of-fit. At ideal calculated cut-off points, the APEX score had the highest sensitivity of the four scores at 71%, indicating that better scoring systems are still needed for predicting SMM.
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Affiliation(s)
| | - George Saade
- Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA
| | - Tetsuya Kawakita
- Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA
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Pasko DN, McGee P, Grobman WA, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Saade GR, Sorokin Y, Rouse DJ, Tolosa JE. Comparison of Cesarean Deliveries in a Multicenter U.S. Cohort Using the 10-Group Classification System. Am J Perinatol 2024; 41:1223-1231. [PMID: 35668654 PMCID: PMC9718892 DOI: 10.1055/s-0042-1748527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
OBJECTIVE We sought to (1) use the Robson 10-Group Classification System (TGCS), which classifies deliveries into 10 mutually exclusive groups, to characterize the groups that are primary contributors to cesarean delivery frequencies, (2) describe inter-hospital variations in cesarean delivery frequencies, and (3) evaluate the contribution of patient characteristics by TGCS group to hospital variation in cesarean delivery frequencies. STUDY DESIGN This was a secondary analysis of an observational cohort of 115,502 deliveries from 25 hospitals between 2008 and 2011. The TGCS was applied to the cohort and each hospital. We identified and compared the TGCS groups with the greatest relative contributions to cohort and hospital cesarean delivery frequencies. We assessed variation in hospital cesarean deliveries attributable to patient characteristics within TGCS groups using hierarchical logistic regression. RESULTS A total of 115,211 patients were classifiable in the TGCS (99.7%). The cohort cesarean delivery frequency was 31.4% (hospital range: 19.1-39.3%). Term singletons in vertex presentation with a prior cesarean delivery (group 5) were the greatest relative contributor to cohort (34.8%) and hospital cesarean delivery frequencies (median: 33.6%; range: 23.8-45.5%). Nulliparous term singletons in vertex (NTSV) presentation (groups 1 [spontaneous labor] and 2 [induced or absent labor]: 28.9%), term singletons in vertex presentation with a prior cesarean delivery (group 5: 34.8%), and preterm singletons in vertex presentation (group 10: 9.8%) contributed to 73.2% of the relative cesarean delivery frequency for the cohort and were correlated with hospital cesarean delivery frequencies (Spearman's rho = 0.96). Differences in patient characteristics accounted for 34.1% of hospital-level cesarean delivery variation in group 2. CONCLUSION The TGCS highlights the contribution of NTSV presentation to cesarean delivery frequencies and the impact of patient characteristics on hospital-level variation in cesarean deliveries among nulliparous patients with induced or absent labor. KEY POINTS · We report on the cesarean delivery frequencies in a multicenter U.S. COHORT . · NTSV gestations (groups 1 and 2) are a primary driver of cesarean deliveries.. · Patient characteristics contributed most to hospital variation in cesarean deliveries in group 2..
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Affiliation(s)
- Daniel N Pasko
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Paula McGee
- The George Washington University Biostatistics Center, Washington, District of Columbia
| | - William A Grobman
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois
| | - Jennifer L Bailit
- Department of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio
| | - Uma M Reddy
- The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michael W Varner
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - John M Thorp
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steve N Caritis
- Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - George R Saade
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Yoram Sorokin
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Jorge E Tolosa
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon
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Dinsmoor MJ, Ugwu LG, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita AT, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Association of Maternal Body Mass Index and Maternal Morbidity And Mortality. Am J Perinatol 2024; 41:e204-e211. [PMID: 35709726 PMCID: PMC9978039 DOI: 10.1055/a-1877-8918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study aimed to assess the association of maternal body mass index (BMI) with a composite of severe maternal outcomes. STUDY DESIGN Secondary analysis of a cohort of deliveries on randomly selected days at 25 hospitals from 2008 to 2011. Data on comorbid conditions, intrapartum events, and postpartum course were collected. The reference group (REF, BMI: 18.5-29.9kg/m2), obese (OB; BMI: 30-39.9kg/m2), morbidly obese (MO; BMI: 40-49.9kg/m2), and super morbidly obese (SMO; BMI ≥ 50kg/m2) women were compared. The composite of severe maternal outcomes was defined as death, intensive care unit (ICU) admission, ventilator use, deep venous thrombosis/pulmonary embolus (DVT/PE), sepsis, hemorrhage, disseminated intravascular coagulation (DIC), unplanned operative procedure, or stroke. Patients in the REF group were matched 1:1 with those in all other obesity groups based on propensity score using the baseline characteristics of age, race/ethnicity, previous cesarean, preexisting diabetes, chronic hypertension, parity, cigarette use, and insurance status. Multivariable Poisson's regression was used to estimate adjusted relative risks (aRRs) and 95% confidence intervals (CIs) for the association between BMI and the composite outcome. Because cesarean delivery may be in the causal pathway between obesity and adverse maternal outcomes, models were then adjusted for mode of delivery to evaluate potential mediation. RESULTS A total of 52,162 pregnant patients are included in the analysis. Risk of composite maternal outcomes was increased for SMO compared with REF but not for OB and MO [OB: aRR=1.06, 95% CI: 0.99-1.14; MO: aRR=1.10, 95% CI: 0.97-1.25; SMO: aRR=1.32, 95% CI: 1.02-1.70]. However, in the mediation analysis, cesarean appears to mediate 46% (95% CI: 31-50%) of the risk of severe morbidity for SMO compared with REF. CONCLUSION Super morbid obesity is significantly associated with increased serious maternal morbidity and mortality; however, cesarean appears to mediate this association. Obesity and morbid obesity are not associated with maternal morbidity and mortality. KEY POINTS · Super morbid obesity is associated with increased morbidity.. · Cesarean appears to mediate the association between super morbid obesity and morbidity.. · Obesity and morbid maternal obesity are not associated with morbidity..
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Affiliation(s)
- Mara J. Dinsmoor
- Departments of Obstetrics and Gynecology of Northwestern University, Chicago, Illinois
| | - Lynda G. Ugwu
- George Washington University Biostatistics Center, Washington, District of Columbia
| | - Jennifer L. Bailit
- Departments of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio
| | - Uma M. Reddy
- The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Ronald J. Wapner
- Departments of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michael W. Varner
- Departments of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - John M. Thorp
- Departments of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steve N. Caritis
- Departments of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Departments of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Alan T.N. Tita
- Departments of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - George R. Saade
- Departments of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Yoram Sorokin
- Departments of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J. Rouse
- Departments of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Sean C. Blackwell
- Departments of Obstetrics and Gynecology, University of Texas Health Science Center at Houston, McGovern Medical SchoolChildren’s Memorial Hermann Hospital, Houston, Texas
| | - Jorge E. Tolosa
- Departments of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon
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Zhou D, Zhong W, Sun Q, Fu Q, Liu P, Zhong S, Li G, Luo B, Chen X, Wang J, Xu C. Developing a streamlined risk-adjusted cesarean section rate model for evaluation of obstetrical quality across hospitals by using EHRs: A provincial-scale multicenter retrospective study. Digit Health 2024; 10:20552076241284726. [PMID: 39444733 PMCID: PMC11497512 DOI: 10.1177/20552076241284726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 08/16/2024] [Indexed: 10/25/2024] Open
Abstract
Objective This study aims to explore a streamlined risk-adjusted cesarean section rate (RCSR) model and to compare its practical application effects with the traditional RCSR models. Methods Utilizing obstetric electronic health record (EHR) data from provincial multicenter hospitals, this study establishes a streamlined RCSR model alongside the traditional RCSR model and evaluates the efficacy of both models. Subsequently, the RCSRs of 56 hospitals within the province are calculated and ranked using both models. The consistency of these rankings is then quantified using Kendall's tau coefficient of concordance. Result Comparison of model effectiveness evaluation of the traditional RCSR model versus the streamlined RCSR model is as follows: AUC (0.840 vs 0.839), accuracy (0.875 vs 0.872), sensitivity (0.690 vs 0.685), specificity (0.898 vs 0.892), positive predictive value (0.908 vs 0.903), negative predictive value (0.664 vs 0.660), and Brier score (0.069 vs 0.067). In the test of the consistency of hospital rankings based on two models, Kendall's tau coefficients were observed to be 0.979 (year 2017), 0.978 (year 2018), and 0.978 (year 2019) over a span of 3 years, with an aggregate coefficient of 0.974. Conclusion In the realm of model performance evaluation as well as the pragmatic application within hospital settings, the streamlined model exhibits a substantial congruence with the traditional model. Therefore, the streamlined model can effectively serve as a viable surrogate for the traditional model, potentially establishing itself as a refined paradigm for the appraisal of quality in obstetric healthcare services.
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Affiliation(s)
- Da Zhou
- Huazhong University of Science and Technology, School of Public Health, Tongji Medical College, Wuhan, China
| | - Wanting Zhong
- Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China
| | - Qiu Sun
- Wuhan No.1 Hospital, Wuhan, China
| | - Qiang Fu
- Tufts University, Medford, MA, USA
| | - Pei Liu
- Peking University Shenzhen Hospital, Shenzhen, China
| | - Shilin Zhong
- Peking University Shenzhen Hospital, Shenzhen, China
| | - Guoqing Li
- Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Bin Luo
- Wuhan Diaolong Data Technology Co., Ltd., Wuhan, China
| | - Xiao Chen
- The University of British Columbia—Vancouver Campus, Vancouver, Canada
| | - Jian Wang
- Wuhan Children's Hospital, Wuhan, China
| | - Chang Xu
- Peking University Shenzhen Hospital, Shenzhen, China
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Bushman ET, Grobman WA, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Outcomes of induction vs prelabor cesarean delivery at <33 weeks for hypertensive disorders of pregnancy. Am J Obstet Gynecol MFM 2023; 5:101032. [PMID: 37244639 PMCID: PMC10521213 DOI: 10.1016/j.ajogmf.2023.101032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/28/2023] [Accepted: 05/22/2023] [Indexed: 05/29/2023]
Abstract
BACKGROUND Hypertensive disorders of pregnancy are the leading cause of indicated preterm birth; however, the optimal delivery approach for pregnancies complicated by preterm hypertensive disorders of pregnancy remains uncertain. OBJECTIVE This study aimed to compare maternal and neonatal morbidity in patients with hypertensive disorders of pregnancy who either went induction of labor or prelabor cesarean delivery at <33 weeks' gestation. In addition, we aimed to quantify the length of induction of labor and rate of vaginal delivery in those who underwent induction of labor. STUDY DESIGN This is a secondary analysis of an observational study which included 115,502 patients in 25 hospitals in the United States from 2008 to 2011. Patients were included in the secondary analysis if they were delivered for pregnancy associated hypertension (gestational hypertension or preeclampsia) between 230 and <330 weeks' gestation; and were excluded for known fetal anomalies, multiple gestation, fetal malpresentation or demise, or a contraindication to labor. Maternal and neonatal adverse composite outcomes were evaluated by intended mode of delivery. Secondary outcomes were duration of labor induction and rate of cesarean delivery in those who underwent labor induction. RESULTS A total of 471 patients met inclusion criteria, of whom 271 (58%) underwent induction of labor and 200 (42%) underwent prelabor cesarean delivery. Composite maternal morbidity was 10.2% in the induction group and 21.1% in the cesarean delivery group (unadjusted odds ratio, 0.42 [0.25-0.72]; adjusted odds ratio, 0.44 [0.26-0.76]). Neonatal morbidity in the induction group vs the cesarean delivery was 51.9% and 63.8 %, respectively (unadjusted odds ratio, 0.61 [0.42-0.89]; adjusted odds ratio, 0.71 [0.48-1.06]). The frequency of vaginal delivery in the induction group was 53% (95% confidence interval, 46.8-58.7) and the median duration of labor was 13.9 hours (interquartile range, 8.7-22.2). The frequency of vaginal birth was higher in patients at or beyond 29 weeks (39.9% at 240-286 weeks, 56.3% at 290-<330 weeks; P=.01). CONCLUSION Among patients delivered for hypertensive disorders of pregnancy <330 weeks, labor induction compared with prelabor cesarean delivery is associated with significantly lower odds of maternal but not neonatal morbidity. More than half of patients induced delivered vaginally, with a median duration of labor induction of 13.9 hours.
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Affiliation(s)
- Elisa T Bushman
- The University of Alabama at Birmingham, Birmingham, AL (Dr Bushman).
| | | | - Jennifer L Bailit
- MetroHealth Medical Center-Case Western Reserve University, Cleveland, OH (Dr Bailit)
| | - Uma M Reddy
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Dr Reddy)
| | | | - Michael W Varner
- University of Utah Health Sciences Center, Salt Lake City, UT (Dr Varner)
| | - John M Thorp
- The University of North Carolina at Chapel Hill, Chapel Hill, NC (Dr Thorp)
| | | | - Mona Prasad
- The Ohio State University, Columbus, OH (Dr Prasad)
| | - George R Saade
- The University of Texas Medical Branch, Galveston, TX (Dr Saade)
| | | | | | - Sean C Blackwell
- The University of Texas Health Science Center at Houston-Children's Memorial Hermann Hospital, Houston, TX (Dr Blackwell)
| | - Jorge E Tolosa
- Oregon Health & Science University, Portland, OR (Dr Tolosa)
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Parchem JG, Rice MM, Grobman WA, Bailit JL, Wapner RJ, Debbink MP, Thorp JM, Caritis SN, Prasad M, Tita ATN, Saade GR, Sorokin Y, Rouse DJ, Tolosa JE. Racial and Ethnic Disparities in Adverse Perinatal Outcomes at Term. Am J Perinatol 2023; 40:557-566. [PMID: 34058765 PMCID: PMC8630098 DOI: 10.1055/s-0041-1730348] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE This study aimed to evaluate whether racial and ethnic disparities in adverse perinatal outcomes exist at term. STUDY DESIGN We performed a secondary analysis of a multicenter observational study of 115,502 pregnant patients and their neonates (2008-2011). Singleton, nonanomalous pregnancies delivered from 37 to 41 weeks were included. Race and ethnicity were abstracted from the medical record and categorized as non-Hispanic White (White; referent), non-Hispanic Black (Black), non-Hispanic Asian (Asian), or Hispanic. The primary outcome was an adverse perinatal composite defined as perinatal death, Apgar score < 4 at 5 minutes, ventilator support, hypoxic-ischemic encephalopathy, subgaleal hemorrhage, skeletal fracture, infant stay greater than maternal stay (by ≥ 3 days), brachial plexus palsy, or facial nerve palsy. RESULTS Of the 72,117 patients included, 48% were White, 20% Black, 5% Asian, and 26% Hispanic. The unadjusted risk of the primary outcome was highest for neonates of Black patients (3.1%, unadjusted relative risk [uRR] = 1.16, 95% confidence interval [CI]: 1.04-1.30), lowest for neonates of Hispanic patients (2.1%, uRR = 0.80, 95% CI: 0.71-0.89), and no different for neonates of Asian (2.6%), compared with those of White patients (2.7%). In the adjusted model including age, body mass index (BMI), smoking, obstetric history, and high-risk pregnancy, differences in risk for the primary outcome were no longer observed for neonates of Black (adjusted relative risk [aRR] = 1.06, 95% CI: 0.94-1.19) and Hispanic (aRR = 0.92, 95% CI: 0.81-1.04) patients. Adding insurance to the model lowered the risk for both groups (aRR = 0.85, 95% CI: 0.75-0.96 for Black; aRR = 0.68, 95% CI: 0.59-0.78 for Hispanic). CONCLUSION Although neonates of Black patients have the highest frequency of adverse perinatal outcomes at term, after adjustment for sociodemographic factors, this higher risk is no longer observed, suggesting the importance of developing strategies that address social determinants of health to lessen extant health disparities. KEY POINTS · Term neonates of Black patients have the highest crude frequency of adverse perinatal outcomes.. · After adjustment for confounders, higher risk for neonates of Black patients is no longer observed.. · Disparities in outcomes are strongly related to insurance status..
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Affiliation(s)
- Jacqueline G Parchem
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, and Children's Memorial Hermann Hospital, Houston, Texas
| | | | - William A Grobman
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois
| | - Jennifer L Bailit
- Department of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michelle P Debbink
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - John M Thorp
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steve N Caritis
- Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Alan T N Tita
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - George R Saade
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Yoram Sorokin
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Jorge E Tolosa
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon
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8
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Dinsmoor MJ, Ugwu LG, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita ATN, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Short-term neonatal outcomes of pregnancies complicated by maternal obesity. Am J Obstet Gynecol MFM 2023; 5:100874. [PMID: 36690180 PMCID: PMC10065915 DOI: 10.1016/j.ajogmf.2023.100874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 12/26/2022] [Accepted: 01/16/2023] [Indexed: 01/22/2023]
Abstract
BACKGROUND Maternal obesity complicates a high number of pregnancies. The degree to which neonatal outcomes are adversely affected is unclear. OBJECTIVE This study aimed to evaluate neonatal outcomes of pregnancies complicated by maternal obesity. STUDY DESIGN This study was a secondary analysis of a cohort of deliveries occurring on randomly selected days at 25 hospitals from 2008 to 2011. Data were collected by certified abstractors. This analysis included singleton deliveries between 24 and 42 weeks of gestation. Body mass index was calculated on the basis of maternal height and most recent weight before delivery. Normal and overweight (reference group; body mass index, 18.5-29.9 kg/m2), obese (body mass index, 30.0-39.9 kg/m2), morbidly obese (body mass index, 40.0-49.9 kg/m2), and super morbidly obese (body mass index, ≥50 kg/m2) patients were compared. Patients in the reference group were matched in a 1:1 ratio with those in all other groups with obesity using the baseline characteristics of age, race and ethnicity, previous cesarean delivery, preexisting diabetes mellitus, chronic hypertension, parity, cigarette use, and insurance status. The primary outcome was composite neonatal morbidity, including fetal or neonatal death, hypoxic-ischemic encephalopathy, respiratory distress syndrome, intraventricular hemorrhage grade 3 or 4, necrotizing enterocolitis, sepsis, birth injury, seizures, or ventilator use. We used a modified Poisson regression to examine the associations between body mass index and composite neonatal outcome. Preterm delivery at <37 weeks of gestation and the presence of maternal preeclampsia or eclampsia were included in the final model because of their known associations with neonatal outcomes. RESULTS Overall, 52,162 patients and their neonates were included after propensity score matching. Of these, 21,704 (41.6%) were obese, 3787 (7.3%) were morbidly obese, and 590 (1.1%) were super morbidly obese. A total of 2103 neonates (4.0%) had the composite outcome. Neonates born to pregnant people with morbid obesity had a 33% increased risk of composite neonatal morbidity compared with those in the reference group (adjusted odds ratio, 1.33; 95% confidence interval, 1.17-1.52), but no significant association was observed for persons with obesity (adjusted odds ratio, 1.05; 95% confidence interval, 0.97-1.14) or with super morbid obesity (adjusted odds ratio, 1.18; 95% confidence interval, 0.86-1.64). CONCLUSION Compared with the reference group, gravidas with morbid obesity were at higher risk of composite neonatal morbidity.
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Affiliation(s)
- Mara J Dinsmoor
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, IL (Dr Dinsmoor).
| | - Lynda G Ugwu
- Department of Obstetrics and Gynecology, George Washington University Biostatistics Center, Washington, DC (Dr Ugwu)
| | - Jennifer L Bailit
- Department of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, OH (Dr Bailit)
| | - Uma M Reddy
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Dr Reddy)
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, NY (Dr Wapner)
| | - Michael W Varner
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, UT (Dr Varner)
| | - John M Thorp
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC (Dr Thorp)
| | - Steve N Caritis
- Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, PA (Dr Caritis)
| | - Mona Prasad
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, OH (Dr Prasad)
| | - Alan T N Tita
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL (Dr Tita)
| | - George R Saade
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX (Dr Saade)
| | - Yoram Sorokin
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI (Dr Sorokin)
| | - Dwight J Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, RI (Dr Rouse)
| | - Sean C Blackwell
- Department of Obstetrics and Gynecology, McGovern Medical School-Children's Memorial Hermann Hospital, University of Texas Health Science Center at Houston, Houston, TX (Dr Blackwell)
| | - Jorge E Tolosa
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR (Dr Tolosa)
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9
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Fridman M, Korst LM, Reynen DJ, Nicholas LA, Greene N, Saeb S, Troyan JL, Gregory KD. Using Potentially Preventable Severe Maternal Morbidity to Monitor Hospital Performance. Jt Comm J Qual Patient Saf 2023; 49:129-137. [PMID: 36646608 DOI: 10.1016/j.jcjq.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND The Centers for Disease Control and Prevention (CDC) measure of severe maternal morbidity (SMM) quantifies the burden of SMM but is not restricted to potentially preventable SMM. The authors adapted the CDC SMM measure for this purpose and evaluated it for use as a hospital performance measure. METHODS Guidelines for defining performance SMM (pSMM) were (1) exclusion of preexisting conditions from outcome; (2) exclusion of inconsistently documented outcomes; and (3) risk adjustment for conditions that preceded hospitalization. California maternal hospital discharge data from 2016 to 2017 were used for model development, and 2018 data were used for model testing and evaluation of hospital performance. Separate models were developed for hospital types (Community, Teaching, Integrated Delivery System [IDS], and IDS Teaching), generating model-based expected pSMM values. Observed-to-expected (O/E) ratios were calculated for hospitals and used to categorize them as overperforming, average performing, or underperforming using 95% confidence intervals. Performance categories were compared for pSMM vs. CDC SMM (excluding blood transfusion). RESULTS The overall 2016-2018 pSMM rate was 0.44%. All hospital types had over- and underperformers, and the proportions of Community, Teaching, IDS, and IDS Teaching hospitals whose performance differed from their performance on the CDC SMM measure were 12.1%, 25.0%, 38.9%, and 66.7%, respectively. CONCLUSION The rate of potentially preventable SMM as defined by pSMM (0.44%) was less than half the previously published rate of CDC SMM (1.03%). pSMM identified differences in performance across hospitals, and pSMM and CDC SMM classified hospitals' performances differently. pSMM may be suitable for hospital comparisons because it identifies potentially preventable, hospital-acquired SMM that should be responsive to quality improvement activities.
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10
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Liu M, Hu L, Xu Y, Wang Y, Liu Y. Patient healthcare experiences of cancer hospitals in China: A multilevel modeling analysis based on a national survey. Front Public Health 2023; 11:1059878. [PMID: 36908411 PMCID: PMC9992183 DOI: 10.3389/fpubh.2023.1059878] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 02/02/2023] [Indexed: 02/24/2023] Open
Abstract
Importance Patient satisfaction is a crucial indicator for assessing quality of care in healthcare settings. However, patient satisfaction benchmark for cancer hospitals in China is not established. Objective To examine patient satisfaction levels in tertiary cancer hospitals in China, and inter-hospital variations after case-mix adjustment. Design A nationwide cross-sectional hospital performance survey conducted from January to March 2021. Settings At 30 tertiary cancer hospitals in China. Participants A total of 4,847 adult inpatients consecutively recruited at 30 tertiary cancer hospitals were included. Exposures Patient characteristics included demographic characteristics (sex, age, education, and annual family income), clinical characteristics (cancer type, cancer stage, self-reported health status, and length of stay), and actual respondents of questionnaire. Main outcomes and measures Patient satisfaction was measured using 23 items covering five aspects, administrative process, hospital environment, medical care, symptom management, and overall satisfaction. Responses to each item were recorded using a 5-point Likert scale. Patient satisfaction level for each aspect was described at individual and hospital levels. Using multilevel logistic regression, patient characteristics associated with patient satisfaction were examined as case-mix adjusters and inter-hospital variation were determined. Results The satisfaction rates for symptom management, administrative process, hospital environment, overall satisfaction, and medical care aspects were 74.56, 81.70, 84.18, 84.26, and 90.86% with a cut-off value of 4, respectively. Significant predictors of patient satisfaction included sex, age, cancer type, cancer stage, self-reported health status, and actual respondent (representative or patient) (all P < 0.05). The ranking of the hospitals' performance in satisfaction was altered after the case-mix adjustment was made. But even after the adjustment, significant variation in satisfaction among hospitals remained. Conclusions and relevance This study pointed to symptom management as a special area, to which a keen attention should be paid by policymakers and hospital administrators. Significant variation in satisfaction among hospitals remained, implying that future studies should examine major factors affecting the variation. In review, target interventions are needed in low-performing hospitals.
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Affiliation(s)
| | - Linlin Hu
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | | | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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11
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Rouse CE, Easter SR, Duarte VE, Drakely S, Wu FM, Valente AM, Economy KE. Timing of Delivery in Women with Cardiac Disease. Am J Perinatol 2022; 39:1196-1203. [PMID: 33352586 DOI: 10.1055/s-0040-1721716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Guidelines do not exist to determine timing of delivery for women with cardiovascular disease (CVD) in pregnancy. The neonatal benefit of a term delivery as compared with an early term delivery is well described. We sought to examine maternal outcomes in women with CVD who delivered in the early term period (370/7 through 386/7 weeks) compared with those who delivered later. STUDY DESIGN This is a prospective cohort study examining cardiac and obstetric outcomes in women with CVD delivering between September 2011 and December 2016. The associations between gestational age at delivery and maternal, fetal, and obstetric characteristics were evaluated. RESULTS Two-hundred twenty-five women with CVD were included, 83 (37%) delivered in the early term period and 142 (63%) delivered at term. While the early term group had significantly higher rates of any hypertension during pregnancy (18.1 vs. 7%, p = 0.01) and intrauterine growth restriction (22.9 vs. 2.8%, p < 0.001), there was no difference in high-risk cardiac or obstetric characteristics. No difference in composite cardiac morbidity was found (4.8 vs. 3.5%, p = 0.24). Women in the early term group were more likely to undergo cesarean delivery than women in the term group (43.4 vs. 24.7%, p = 0.004). CONCLUSION There is no maternal benefit of an early term delivery in otherwise healthy women with CVD. Given the known fetal consequences of early term delivery, this study offers support to existing literature suggesting term delivery in these women. KEY POINTS · Question of delivery timing in women with cardiac disease.. · No difference in cardiac morbidity, term versus early term.. · Term delivery in women with asymptomatic cardiac disease..
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Affiliation(s)
- Caroline E Rouse
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Boston, Harvard Medical School, Boston, Massachusetts
| | - Sarah Rae Easter
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Boston, Harvard Medical School, Boston, Massachusetts
| | - Valeria E Duarte
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts.,Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sheila Drakely
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts.,Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Fred M Wu
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts.,Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Anne Marie Valente
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts.,Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Katherine E Economy
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Boston, Harvard Medical School, Boston, Massachusetts
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12
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Blue NR, Mele L, Grobman WA, Bailit JL, Wapner RJ, Thorp JM, Caritis SN, Prasad M, Tita ATN, Saade GR, Rouse DJ, Blackwell SC. Predictive performance of newborn small for gestational age by a United States intrauterine vs birthweight-derived standard for short-term neonatal morbidity and mortality. Am J Obstet Gynecol MFM 2022; 4:100599. [PMID: 35183799 PMCID: PMC9097811 DOI: 10.1016/j.ajogmf.2022.100599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 02/15/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND The use of birthweight standards to define small for gestational age may fail to identify neonates affected by poor fetal growth as they include births associated with suboptimal fetal growth. OBJECTIVE This study aimed to compare intrauterine vs birthweight-derived standards to define newborn small for gestational age to predict neonatal morbidity and mortality. STUDY DESIGN This was a secondary analysis of a multicenter observational study of 118,422 births. Live-born singleton, nonanomalous newborns born at 23 to 41 weeks of gestation were included. Those with missing gestational age estimation or without a first- or second-trimester ultrasound to confirm dating, birthweight, or neonatal outcome data were excluded. Birthweight percentile was computed using an intrauterine standard (Hadlock) and a birthweight-derived standard (Olsen). We compared the test characteristics of small for gestational age (birthweight of <10th percentile) by each standard to predict a composite neonatal morbidity and mortality outcome (death before discharge, neonatal intensive care unit admission >48 hours, respiratory distress syndrome, sepsis, necrotizing enterocolitis, grade 3 or 4 intraventricular hemorrhage, or seizures). Severe composite morbidity was analyzed as a secondary outcome and was defined as death, neonatal intensive care unit admission >7 days, necrotizing enterocolitis, grade 3 or 4 intraventricular hemorrhage, or seizures. The areas under the curve using receiver-operating characteristic methodology and proportions of the primary outcome by small for gestational age status were compared by gestational age category at birth (<34, 34 0/7 to 36 6/7, ≥37 weeks). RESULTS Of 115,502 mother-newborn dyads in the parent study, 78,203 (67.7%) were included, with most exclusions occurring because of missing or inadequate dating information, multiple gestations, or delivery outside the gestational age range. The primary composite outcome occurred in 9.5% (95% confidence interval, 9.3-9.7), and the severe composite outcome occurred in 5.3% (95% confidence interval, 5.1-5.4). Small for gestational age was diagnosed by intrauterine and birthweight-derived standards in 14.8% and 7.4%, respectively (P<.001). Neonates considered small for gestational age only by the intrauterine standard experienced the primary outcome more than twice as often as those considered non-small for gestational age by both standards (18.4% vs 7.9%; P<.001). For the prediction of the primary outcome, small for gestational age by the intrauterine standard had higher sensitivity (29% vs 15%; P<.001) but lower specificity (87% vs 93%; P<.001) than by the birthweight standard. Both standards had weak performance overall, although the intrauterine standard had a higher area under the curve (0.58 vs 0.53; P<.001). When subanalyzed by gestational age at birth, the difference in areas under the curve was only present among preterm deliveries 34 to 36 competed weeks. Neither standard demonstrated any discrimination for morbidity prediction among term births (area under the curve, 0.50 for both). When the prediction of severe morbidity was compared, the intrauterine still had better overall prediction than the birthweight standard (areas under the curve, 0.65 vs 0.57; P<.001), although this also varied by gestational age at birth. CONCLUSION Among nonanomalous neonates, neither intrauterine nor birthweight-derived standards for small for gestational age accurately predicted neonatal morbidity and mortality, with no discriminatory ability at term. Small for gestational age intrauterine standards performed better than birthweight standards.
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13
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Oben A, McGee P, Grobman WA, Bailit JL, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Saade GR, Rouse DJ, Blackwell SC. An evaluation of seasonal maternal-neonatal morbidity related to trainee cycles. Am J Obstet Gynecol MFM 2022; 4:100583. [PMID: 35123113 PMCID: PMC9081218 DOI: 10.1016/j.ajogmf.2022.100583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/31/2021] [Accepted: 01/28/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND The existence of the "July phenomenon" (worse outcomes related to the presence of new physician trainees in teaching hospitals) has been debated in the literature and media. Previous studies of the phenomenon in obstetrics are limited by the quality and detail of data. OBJECTIVE To evaluate whether the months of June to August, when transitions in trainees occur, are associated with increased maternal and neonatal morbidity. STUDY DESIGN Secondary analysis of an observational cohort of 115,502 mother-infant pairs that delivered at 25 hospitals from March 2008 to February 2011. Inclusion criteria were an individual who had a singleton, nonanomalous live fetus at the onset of labor, and delivered at a hospital with trainees. The primary outcomes were composites of maternal and neonatal morbidity. We evaluated the outcomes by academic quarter during which the delivery occurred, beginning July 1, and by duration of the academic year as a continuous variable. To account for clustering in outcomes at a given delivery location, we applied hierarchical logistic regression with adjustment for hospital as a random effect. RESULTS Of 115,502 deliveries, 99,929 met the inclusion criteria. Race and ethnicity, insurance, body mass index, drug use, and the availability of 24/7 maternal-fetal medicine, anesthesia, and neonatology varied by quarter. In adjusted analysis, the frequency of the composite maternal and neonatal morbidity did not differ by quarter. No differences in composite morbidity were observed when using day of the year as a continuous variable (maternal morbidity adjusted odds ratio, 1.00; 95% confidence interval, 0.99-1.00 and neonatal morbidity adjusted odds ratio, 1.00; 95% confidence interval, 1.00-1.01) and after adjustment for hospital as a random effect. Odds of major surgical complications in quarter 2 were twice those in quarter 1. Neonatal injury and intensive care unit were less frequent in later quarters. CONCLUSION Maternal and neonatal morbidity in teaching hospitals was not associated with the academic quarter during which delivery occurred, and there was no evidence of a "July phenomenon".
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Affiliation(s)
- Ayamo Oben
- Department of Obstetrics and Gynecology, The University of Alabama at Birmingham, Birmingham, AL (Dr Oben).
| | - Paula McGee
- Biostatistics Center, The George Washington University, Washington, DC (Ms McGee)
| | - William A Grobman
- Department of Obstetrics & Gynecology, Northwestern University, Chicago, IL (Dr Grobman)
| | - Jennifer L Bailit
- Department of Obstetrics & Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, OH (Dr Bailit)
| | - Ronald J Wapner
- Department of Obstetrics & Gynecology, Columbia University, New York, NY (Dr Wapner)
| | - Michael W Varner
- Department of Obstetrics & Gynecology, University of Utah Health Sciences Center, Salt Lake City, UT (Dr Varner)
| | - John M Thorp
- Department of Obstetrics & Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC (Dr Thorp)
| | - Steve N Caritis
- Department of Obstetrics & Gynecology, University of Pittsburgh, Pittsburgh, PA (Dr Caritis)
| | - Mona Prasad
- Department of Obstetrics & Gynecology, The Ohio State University, Columbus, OH (Dr Prasad)
| | - George R Saade
- Department of Obstetrics & Gynecology, University of Texas Medical Branch, Galveston, TX (Dr Saade)
| | - Dwight J Rouse
- Department of Obstetrics & Gynecology, Brown University, Providence, RI (Dr Rouse)
| | - Sean C Blackwell
- Department of Obstetrics & Gynecology, University of Texas Health Science Center at Houston, McGovern Medical School-Children's Memorial Hermann Hospital, Houston, TX (Dr Blackwell)
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14
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Costantine MM, Sandoval G, Grobman WA, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita AT, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. A Model to Predict Vaginal Delivery and Maternal and Neonatal Morbidity in Low-Risk Nulliparous Patients at Term. Am J Perinatol 2022; 39:786-796. [PMID: 33075842 PMCID: PMC8053722 DOI: 10.1055/s-0040-1718704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE This study aimed to develop and validate a model to predict the probability of vaginal delivery (VD) in low-risk term nulliparous patients, and to determine whether it can predict the risk of severe maternal and neonatal morbidity. METHODS Secondary analysis of an obstetric cohort of patients and their neonates born in 25 hospitals across the United States (n = 115,502). Trained and certified research personnel abstracted the maternal and neonatal records. Nulliparous patients with singleton, nonanomalous vertex fetuses, admitted with an intent for VD ≥ 37 weeks were included in this analysis. Patients in active labor (cervical exam > 5 cm), those with prior cesarean and other comorbidities were excluded. Eligible patients were randomly divided into a training and test sets. Based on the training set, and using factors available at the time of admission for delivery, we developed and validated a logistic regression model to predict the probability of VD, and then estimated the prevalences of severe morbidity according to the predicted probability of VD. RESULTS A total of 19,611 patients were included. Based on the training set (n = 9,739), a logistic regression model was developed that included maternal age, body mass index (BMI), cervical dilatation, and gestational age on admission. The model was internally validated on the test set (n = 9,872 patients) and yielded a receiver operating characteristic-area under the curve (ROC-AUC) of 0.71 (95% confidence interval [CI]: 0.70-0.72). Based on a subset of 18,803 patients with calculated predicted probabilities, we demonstrated that the prevalences of severe morbidity decreased as the predicted probability of VD increased (p < 0.01). CONCLUSION In a large cohort of low-risk nulliparous patients in early labor or undergoing induction of labor, at term with singleton gestations, we developed and validated a model to calculate the probability of VD, and maternal and neonatal morbidity. If externally validated, this calculator may be clinically useful in helping to direct level of care, staffing, and adjustment for case-mix among various systems. KEY POINTS · A model to predict the probability of vaginal delivery in low-risk nulliparous patients at term.. · The model also predicts the risk of severe maternal and neonatal morbidity.. · The prevalences of severe morbidity decrease as the probability of vaginal delivery increases..
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Affiliation(s)
- Maged M. Costantine
- Departments of Obstetrics and Gynecology of University of Texas Medical Branch, Galveston, Texas
| | - Grecio Sandoval
- The George Washington University Biostatistics Center, Washington, Dist. of Columbia
| | - William A. Grobman
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois
| | - Jennifer L. Bailit
- Department of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio
| | - Uma M. Reddy
- Department of Obstetrics and Gynecology, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Ronald J. Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michael W. Varner
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - John M. Thorp
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steve N. Caritis
- Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Alan T.N. Tita
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Yoram Sorokin
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J. Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Sean C. Blackwell
- Department of Obstetrics and Gynecology, The University of Texas Health Science Center at Houston, McGovern Medical School-Children’s Memorial Hermann Hospital, Houston, Texas
| | - Jorge E. Tolosa
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon
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15
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Metz TD, Clifton RG, Hughes BL, Sandoval GJ, Grobman WA, Saade GR, Manuck TA, Longo M, Sowles A, Clark K, Simhan HN, Rouse DJ, Mendez-Figueroa H, Gyamfi-Bannerman C, Bailit JL, Costantine MM, Sehdev HM, Tita ATN, Macones GA. Association of SARS-CoV-2 Infection With Serious Maternal Morbidity and Mortality From Obstetric Complications. JAMA 2022; 327:748-759. [PMID: 35129581 PMCID: PMC8822445 DOI: 10.1001/jama.2022.1190] [Citation(s) in RCA: 161] [Impact Index Per Article: 80.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 01/21/2022] [Indexed: 02/03/2023]
Abstract
Importance It remains unknown whether SARS-CoV-2 infection specifically increases the risk of serious obstetric morbidity. Objective To evaluate the association of SARS-CoV-2 infection with serious maternal morbidity or mortality from common obstetric complications. Design, Setting, and Participants Retrospective cohort study of 14 104 pregnant and postpartum patients delivered between March 1, 2020, and December 31, 2020 (with final follow-up to February 11, 2021), at 17 US hospitals participating in the Eunice Kennedy Shriver National Institute of Child Health and Human Development's Gestational Research Assessments of COVID-19 (GRAVID) Study. All patients with SARS-CoV-2 were included and compared with those without a positive SARS-CoV-2 test result who delivered on randomly selected dates over the same period. Exposures SARS-CoV-2 infection was based on a positive nucleic acid or antigen test result. Secondary analyses further stratified those with SARS-CoV-2 infection by disease severity. Main Outcomes and Measures The primary outcome was a composite of maternal death or serious morbidity related to hypertensive disorders of pregnancy, postpartum hemorrhage, or infection other than SARS-CoV-2. The main secondary outcome was cesarean birth. Results Of the 14 104 included patients (mean age, 29.7 years), 2352 patients had SARS-CoV-2 infection and 11 752 did not have a positive SARS-CoV-2 test result. Compared with those without a positive SARS-CoV-2 test result, SARS-CoV-2 infection was significantly associated with the primary outcome (13.4% vs 9.2%; difference, 4.2% [95% CI, 2.8%-5.6%]; adjusted relative risk [aRR], 1.41 [95% CI, 1.23-1.61]). All 5 maternal deaths were in the SARS-CoV-2 group. SARS-CoV-2 infection was not significantly associated with cesarean birth (34.7% vs 32.4%; aRR, 1.05 [95% CI, 0.99-1.11]). Compared with those without a positive SARS-CoV-2 test result, moderate or higher COVID-19 severity (n = 586) was significantly associated with the primary outcome (26.1% vs 9.2%; difference, 16.9% [95% CI, 13.3%-20.4%]; aRR, 2.06 [95% CI, 1.73-2.46]) and the major secondary outcome of cesarean birth (45.4% vs 32.4%; difference, 12.8% [95% CI, 8.7%-16.8%]; aRR, 1.17 [95% CI, 1.07-1.28]), but mild or asymptomatic infection (n = 1766) was not significantly associated with the primary outcome (9.2% vs 9.2%; difference, 0% [95% CI, -1.4% to 1.4%]; aRR, 1.11 [95% CI, 0.94-1.32]) or cesarean birth (31.2% vs 32.4%; difference, -1.4% [95% CI, -3.6% to 0.8%]; aRR, 1.00 [95% CI, 0.93-1.07]). Conclusions and Relevance Among pregnant and postpartum individuals at 17 US hospitals, SARS-CoV-2 infection was associated with an increased risk for a composite outcome of maternal mortality or serious morbidity from obstetric complications.
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Affiliation(s)
- Torri D. Metz
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City
| | | | - Brenna L. Hughes
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill
| | | | - William A. Grobman
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois
| | - George R. Saade
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston
| | - Tracy A. Manuck
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill
| | - Monica Longo
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Amber Sowles
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City
| | - Kelly Clark
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill
| | - Hyagriv N. Simhan
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Dwight J. Rouse
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Hector Mendez-Figueroa
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Health Science Center at Houston, Children’s Memorial Hermann, Hospital, Houston
| | - Cynthia Gyamfi-Bannerman
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Jennifer L. Bailit
- MetroHealth Medical Center, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Case Western Reserve University, Cleveland, Ohio
| | - Maged M. Costantine
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Ohio State University, Columbus
| | - Harish M. Sehdev
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia
| | - Alan T. N. Tita
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Alabama at Birmingham
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16
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Stuebe AM, Tucker C, Ferrari RM, McClain E, Jonsson-Funk M, Pate V, Bryant K, Charles N, Verbiest S. Perinatal morbidity and health utilization among mothers of medically fragile infants. J Perinatol 2022; 42:169-176. [PMID: 34376790 PMCID: PMC8858647 DOI: 10.1038/s41372-021-01171-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/29/2021] [Accepted: 07/14/2021] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To determine the burden of perinatal morbidity among mothers of medically fragile infants. STUDY DESIGN We conducted a retrospective cohort study of 6849 mothers who delivered liveborn infants at a quaternary care hospital during a two-year period. We compared mothers of well babies with mothers of infants admitted to the Neonatal Intensive Care Unit (NICU), and we used logistic regression to model predictors of postpartum acute care utilization among NICU mothers. RESULTS Rates of obstetric morbidity were highest for mothers of infants staying ≥72 h in the NICU; 54.2% underwent cesarean birth, 7.5% experienced severe maternal morbidity, and 6.6% required a blood transfusion. Factors independently associated with postpartum acute care use included gestational age <28 weeks, ever smoking, non-Hispanic Black race, temperature >38 °C and receiving psychiatric medication during the birth hospitalization. CONCLUSION Focused support for mothers of NICU infants has the potential to reduce maternal morbidity and improve health.
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Affiliation(s)
- Alison M. Stuebe
- School of Medicine, University of North Carolina at Chapel Hill,Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Christine Tucker
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Renée M. Ferrari
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill
| | - Erin McClain
- School of Medicine, University of North Carolina at Chapel Hill
| | - Michele Jonsson-Funk
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Virginia Pate
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | | | - Nkechi Charles
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Sarah Verbiest
- School of Medicine, University of North Carolina at Chapel Hill,School of Social Work, University of North Carolina at Chapel Hill
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Battarbee AN, Sandoval G, Grobman WA, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Caritis SN, Prasad M, Tita AT, Saade GR, Sorokin Y, Rouse DJ, Tolosa JE. Antenatal Corticosteroids and Preterm Neonatal Morbidity and Mortality among Women with and without Diabetes in Pregnancy. Am J Perinatol 2022; 39:67-74. [PMID: 32717749 PMCID: PMC7854806 DOI: 10.1055/s-0040-1714391] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE The objective of this study was to determine whether antenatal corticosteroid exposure has a differential association with preterm neonatal morbidity among women with and without diabetes. STUDY DESIGN Secondary analysis of an observational cohort of 115,502 women and their neonates born in 25 U.S. hospitals (2008-2011). Women who delivered at 230/7 to 336/7 weeks' gestation and received antenatal corticosteroids were compared with those who did not receive antenatal corticosteroids. Women with a stillbirth and women who delivered a neonate that was not resuscitated were excluded. The primary outcome was neonatal respiratory distress syndrome or death within 48 hours. Secondary outcomes included composite neonatal morbidity (respiratory distress syndrome, necrotizing enterocolitis, grades 3-4 intraventricular hemorrhage, sepsis, or death) and mechanical ventilation. Multivariable modified Poisson regression was used to estimate the association between antenatal corticosteroid exposure and neonatal outcomes. Maternal diabetes (pregestational and gestational) was evaluated as a potential effect modifier, and sensitivity analyses were conducted to evaluate whether receipt of a partial, single, or multiple course(s) of antenatal corticosteroids influenced results. RESULTS A total of 4,429 women with 5,259 neonates met inclusion criteria: 3,716 (83.9%) women received antenatal corticosteroids and 713 (16.1%) did not. Of the 510 diabetic women (181 pregestational and 329 gestational), 439 (86.1%) received antenatal corticosteroids. Of the 3,919 nondiabetic women, 3,277 (83.6%) received antenatal corticosteroids. Antenatal corticosteroid exposure was not associated with respiratory distress syndrome or early death (adjusted relative risk [aRR] = 0.94, 95% confidence interval [CI]: 0.85-1.04), composite neonatal morbidity (aRR = 0.98, 95% CI: 0.89-1.07), or mechanical ventilation (aRR = 0.95, 95% CI: 0.86-1.05). There was no significant effect modification of maternal diabetes on the relationship between antenatal corticosteroids and neonatal outcomes (p > 0.05), and outcomes were similar in sensitivity analyses of partial, single, or multiple courses of corticosteroids. DISCUSSION Antenatal corticosteroid administered to reduce preterm neonatal morbidity does not appear to have a differential association among women with diabetes compared with those without. KEY POINTS · Antenatal corticosteroids are used ubiquitously in women with and without diabetes.. · Maternal diabetes does not appear to modify the neonatal effect of antenatal corticosteroids.. · Larger studies of antenatal corticosteroids are needed to confirm our findings in diabetic women..
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Affiliation(s)
- Ashley N. Battarbee
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Grecio Sandoval
- George Washington University Biostatistics Center, Washington, District of Columbia
| | - William A. Grobman
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois
| | - Jennifer L. Bailit
- Department of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio
| | - Uma M. Reddy
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Ronald J. Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michael W. Varner
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Steve N. Caritis
- Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Alan T.N. Tita
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - George R. Saade
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Yoram Sorokin
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J. Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Jorge E. Tolosa
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon
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Fishel Bartal M, Ugwu LG, Grobman WA, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita ATN, Saade GR, Rouse DJ. Outcomes in Twins Compared With Singletons Subsequent to Preterm Prelabor Rupture of Membranes. Obstet Gynecol 2021; 138:725-731. [PMID: 34619719 PMCID: PMC8542618 DOI: 10.1097/aog.0000000000004561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/15/2021] [Indexed: 01/27/2023]
Abstract
OBJECTIVE To compare maternal and neonatal outcomes after preterm prelabor rupture of membranes (PROM) from 23 to 34 weeks of gestation in twin compared with singleton gestations. METHODS We conducted a secondary analysis of an obstetric cohort of 115,502 individuals and their singleton or twin neonates born in 25 hospitals nationwide (2008-2011). Those with preterm PROM from 23 0/7 through 33 6/7 weeks of gestation were included; neonates with major fetal anomalies were excluded. The coprimary outcomes for this analysis were composite maternal morbidity (chorioamnionitis, blood transfusion, postpartum endometritis, wound infection, sepsis, venous thromboembolism, intensive care unit admission, or death) and composite major neonatal morbidity (persistent pulmonary hypertension, intraventricular hemorrhage grade III or IV, seizures, hypoxic-ischemic encephalopathy, necrotizing enterocolitis stage II or III, bronchopulmonary dysplasia, stillbirth subsequent to admission, or neonatal death before discharge). Logistic regression was used to estimate unadjusted and adjusted odds ratios (ORs) with 95% CIs for twin compared with singleton gestations. RESULTS Of 1,531 (1.3%) individuals who met eligibility criteria for this analysis, 218 (14.2%) had twin gestations. The median gestational age at preterm PROM was similar between those with twins and singletons (31.2 weeks [interquartile range 27.4-32.9] vs 30.6 weeks [interquartile range 26.9-32.7], P=.23); however, those with twin gestations had a shorter median latency period (2.0 days [interquartile range 1.0-5.0] vs 3.0 days [interquartile range 2.0-8.0], P<.001). After adjustment for potential confounders, odds of experiencing composite maternal morbidity (17.9% vs 19.3%, adjusted OR 0.97, 95% CI 0.66-1.42) or composite neonatal morbidity (20.4% vs 20.5%, OR 0.97, 95% CI 0.72-1.31) did not differ between groups. CONCLUSION In a large, diverse cohort, the likelihood of composite maternal or neonatal morbidity per fetus after preterm PROM was similar for twin and singleton gestations.
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Affiliation(s)
- Michal Fishel Bartal
- Departments of Obstetrics and Gynecology, University of Texas Health Science Center at Houston, McGovern Medical School-Children's Memorial Hermann Hospital, Houston, Texas, Northwestern University, Chicago, Illinois, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio, Columbia University, New York, New York, University of Utah Health Sciences Center, Salt Lake City, Utah, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, University of Pittsburgh, Pittsburgh, Pennsylvania, The Ohio State University, Columbus, Ohio, University of Alabama at Birmingham, Birmingham, Alabama, University of Texas Medical Branch at Galveston, Galveston, Texas, Brown University, Providence, Rhode Island, and the George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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Look Before Leaping: The Value of Understanding a Quality Measure Before Adoption to Public Reporting. Jt Comm J Qual Patient Saf 2021; 47:681-683. [PMID: 34627714 DOI: 10.1016/j.jcjq.2021.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/01/2021] [Accepted: 09/01/2021] [Indexed: 11/22/2022]
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Abstract
PURPOSE OF REVIEW Risk factors for obstetric venous thromboembolism (VTE), a leading cause of maternal mortality in the United States, are increasing on a population basis. This review provides the obstetrician with an update of current issues related to obstetric VTE risk, prophylaxis, outcomes, anaesthesia considerations and future research opportunities. RECENT FINDINGS Obstetric VTE affects approximately 1 per 1000 pregnancies and accounts consistently for 9-10% of maternal deaths in the United States. In industrialized countries, risk factors for VTE, including overweight/obesity, caesarean delivery and obstetrical complications such postpartum haemorrhage and infection continue to increase. VTE prophylaxis is central to reducing maternal mortality. However, recommendations for prophylaxis from leadership societies vary widely. In the UK, maternal mortality risk from VTE has decreased significantly in the setting of broader heparin prophylaxis. In the United States where mechanical VTE prophylaxis is used more commonly, mortality risk has remained constant. SUMMARY Obstetric VTE is a leading cause of maternal mortality in the United States. The incidence of risk factors for obstetric VTE continues to increase. Currently, recommendations for obstetric VTE prophylaxis vary substantially. Opportunities for research in this area exist to optimize prophylaxis and improve maternal outcomes.
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Affiliation(s)
- Alexander M Friedman
- Department of Obstetrics and Gynecology, College of Physicians and Surgeons, Columbia University, New York, New York, USA
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21
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Yee LM, McGee P, Bailit JL, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita AT, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE, Mallett G, Grobman W, Ramos-Brinson M, Roy A, Stein L, Campbell P, Collins C, Jackson N, Dinsmoor M, Senka J, Paychek K, Peaceman A, Talucci M, Zylfijaj M, Reid Z, Leed R, Benson J, Forester S, Kitto C, Davis S, Falk M, Perez C, Hill K, Sowles A, Postma J, Alexander S, Andersen G, Scott V, Morby V, Jolley K, Miller J, Berg B, Dorman K, Mitchell J, Kaluta E, Clark K, Spicer K, Timlin S, Wilson K, Moseley L, Leveno K, Santillan M, Price J, Buentipo K, Bludau V, Thomas T, Fay L, Melton C, Kingsbery J, Benezue R, Simhan H, Bickus M, Fischer D, Kamon T, DeAngelis D, Mercer B, Milluzzi C, Dalton W, Dotson T, McDonald P, Brezine C, McGrail A, Latimer C, Guzzo L, Johnson F, Gerwig L, Fyffe S, Loux D, Frantz S, Cline D, Wylie S, Iams J, Wallace M, Northen A, Grant J, Colquitt C, Rouse D, Andrews W, Moss J, Salazar A, Acosta A, Hankins G, Hauff N, Palmer L, Lockhart P, Driscoll D, Wynn L, Sudz C, Dengate D, Girard C, Field S, Breault P, Smith F, Annunziata N, Allard D, Silva J, Gamage M, Hunt J, Tillinghast J, Corcoran N, Jimenez M, Ortiz F, Givens P, Rech B, Moran C, Hutchinson M, Spears Z, Carreno C, Heaps B, Zamora G, Seguin J, Rincon M, Snyder J, Farrar C, Lairson E, Bonino C, Smith W, Beach K, Van Dyke S, Butcher S, Thom E, Rice M, Zhao Y, Momirova V, Palugod R, Reamer B, Larsen M, Spong C, Tolivaisa S, VanDorsten J. Differences in obstetrical care and outcomes associated with the proportion of the obstetrician's shift completed. Am J Obstet Gynecol 2021; 225:430.e1-430.e11. [PMID: 33812810 DOI: 10.1016/j.ajog.2021.03.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 03/14/2021] [Accepted: 03/26/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Understanding and improving obstetrical quality and safety is an important goal of professional societies, and many interventions such as checklists, safety bundles, educational interventions, or other culture changes have been implemented to improve the quality of care provided to obstetrical patients. Although many factors contribute to delivery decisions, a reduced workload has addressed how provider issues such as fatigue or behaviors surrounding impending shift changes may influence the delivery mode and outcomes. OBJECTIVE The objective was to assess whether intrapartum obstetrical interventions and adverse outcomes differ based on the temporal proximity of the delivery to the attending's shift change. STUDY DESIGN This was a secondary analysis from a multicenter obstetrical cohort in which all patients with cephalic, singleton gestations who attempted vaginal birth were eligible for inclusion. The primary exposure used to quantify the relationship between the proximity of the provider to their shift change and a delivery intervention was the ratio of time from the most recent attending shift change to vaginal delivery or decision for cesarean delivery to the total length of the shift. Ratios were used to represent the proportion of time completed in the shift by normalizing for varying shift lengths. A sensitivity analysis restricted to patients who were delivered by physicians working 12-hour shifts was performed. Outcomes chosen included cesarean delivery, episiotomy, third- or fourth-degree perineal laceration, 5-minute Apgar score of <4, and neonatal intensive care unit admission. Chi-squared tests were used to evaluate outcomes based on the proportion of the attending's shift completed. Adjusted and unadjusted logistic models fitting a cubic spline (when indicated) were used to determine whether the frequency of outcomes throughout the shift occurred in a statistically significant, nonlinear pattern RESULTS: Of the 82,851 patients eligible for inclusion, 47,262 (57%) had ratio data available and constituted the analyzable sample. Deliveries were evenly distributed throughout shifts, with 50.6% taking place in the first half of shifts. There were no statistically significant differences in the frequency of cesarean delivery, episiotomy, third- or fourth-degree perineal lacerations, or 5-minute Apgar scores of <4 based on the proportion of the shift completed. The findings were unchanged when evaluated with a cubic spline in unadjusted and adjusted logistic models. Sensitivity analyses performed on the 22.2% of patients who were delivered by a physician completing a 12-hour shift showed similar findings. There was a small increase in the frequency of neonatal intensive care unit admissions with a greater proportion of the shift completed (adjusted P=.009), but the findings did not persist in the sensitivity analysis. CONCLUSION Clinically significant differences in obstetrical interventions and outcomes do not seem to exist based on the temporal proximity to the attending physician's shift change. Future work should attempt to directly study unit culture and provider fatigue to further investigate opportunities to improve obstetrical quality of care, and additional studies are needed to corroborate these findings in community settings.
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22
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Fridman M, Korst LM, Reynen DJ, Nicholas LA, Greene N, Saeb S, Troyan JL, Gregory KD. Severe Maternal Morbidity in California Hospitals: Performance Based on a Validated Multivariable Prediction Model. Jt Comm J Qual Patient Saf 2021; 47:686-695. [PMID: 34548236 DOI: 10.1016/j.jcjq.2021.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/11/2021] [Accepted: 08/12/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Severe maternal morbidity (SMM) is under development as a quality indicator for maternal health care. The aim of this study is to evaluate California hospital performance based on a standardized SMM measure. METHODS California maternal hospital delivery discharge data from 2016 to 2017 were used to develop logistic regression models for SMM, adjusted for clinical risk factors at admission. Data from 2018 were used to test the models and evaluate hospital performance. SMM was defined per the Centers for Disease Control and Prevention, including (excluding) blood transfusion. Independent models were developed for each hospital type: community, teaching, integrated delivery system (IDS), and IDS teaching. Within each type, model-based expected SMM values and observed-to-expected (O/E) ratios were calculated for each hospital. For each hospital type, hospitals were ranked by O/E ratio, and over- and underperforming hospitals were identified using 95% confidence intervals. RESULTS Rates of SMM including (excluding) transfusion by hospital type were 1.7% (0.9%) for community, 2.7% (1.5%) for teaching, 2.3% (1.2%) for IDS, and 3.0% (1.6%) for IDS teaching hospitals. In higher-volume community hospitals (≥ 500 births/year), the proportion of underperformers including (excluding) transfusion was 20.7% (11.0%). Summing over all hospital types, 25.3% (14.9%) of hospitals were identified as underperformers in that they experienced significantly more SMM events than expected including (excluding) transfusion. CONCLUSION California hospital discharge data demonstrated significant hospital variation in standardized childbirth SMM. These data suggest that a standardized SMM measure may help guide and monitor statewide quality improvement efforts.
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23
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Clapp MA, James KE, Little SE, Robinson JN, Kaimal AJ. Association between hospital-level cesarean delivery rates and severe maternal morbidity and unexpected newborn complications. Am J Obstet Gynecol MFM 2021; 3:100474. [PMID: 34481997 DOI: 10.1016/j.ajogmf.2021.100474] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 08/19/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Although there are many indications for a cesarean delivery, the "optimal" cesarean delivery rate is unknown. Neonatal and maternal morbidity have largely not been considered in the generation of hospital-level cesarean delivery rate targets. OBJECTIVE We sought to examine if the widely adopted and reported markers of maternal and neonatal morbidity were associated with hospital cesarean delivery rates to provide context for potential comparison and consideration for defining cesarean delivery rate targets. We hypothesized that hospitals with higher cesarean delivery rates would have increased rates of severe maternal morbidity, though we were less certain of the associations of the cesarean delivery rates with unexpected newborn complications. STUDY DESIGN This is a cross-sectional, ecological study using data from the 2016 Nationwide Readmission Database of hospitals with at least 100 deliveries per year. The exposure of interest was hospital cesarean delivery rate. The outcomes were (1) severe maternal morbidity with and without transfusion-in accordance with the Centers for Disease Control and Prevention's definition, and (2) neonatal morbidity-defined using The Joint Commission's Perinatal Quality metric of moderate and severe unexpected newborn complications among term, singleton, and nonanomalous neonates. Before assuming a single linear relationship to model the associations between morbidity and cesarean delivery rates, the Joinpoint Regression Analysis program was used to examine for potential splines in the relationships with both severe maternal morbidity (with and without transfusion) and severe and moderate unexpected newborn complications. Poisson regression model was then used to determine the association between morbidity and cesarean delivery rates. RESULTS The analysis included 831,111 deliveries from 621 hospitals. The mean cesarean delivery rate was 30.5%. The median severe maternal morbidity rate was 1.40 per 100 deliveries (interquartile range, 0.71-2.21 per 1000 deliveries). Excluding transfusion, the median severe maternal morbidity rate was 0.47 per 100 deliveries (interquartile range, 0.22-0.73 per 100 deliveries). The median rate of severe and moderate unexpected newborn complications was 1.01 per 100 low-risk newborns (interquartile range, 0.64-1.69 per 100 low-risk newborns) and 1.79 per 1000 low-risk newborns (interquartile range, 0.94-2.93 per 100 low-risk newborns), respectively. In the unadjusted analysis, every percentage point increase in a hospital's cesarean delivery rate was associated with a 3.4% (95% confidence interval, 2.3%-4.4%) and a 2.3% (95% confidence interval, 1.0%-3.5%) increase in severe maternal morbidity including and excluding transfusion, respectively. After adjustment for the case mix and hospital factors, only the relationship with severe maternal morbidity including transfusion remained significant: 3.3% (95% confidence interval, 1.7%-4.9%) increase in severe maternal morbidity per 1 percentage point increase in the cesarean delivery rate. There was no observed association between cesarean delivery rates and unexpected newborn complications CONCLUSION: Severe maternal morbidity and unexpected newborn complications occur in fewer than 5 in 100 births. Findings from this analysis of hospitals with cesarean delivery rates ranging from 6.8%-56.3% suggest that those with lower cesarean delivery rates have lower severe maternal morbidity (which includes transfusion) and similar unexpected newborn complications compared with hospitals with higher cesarean delivery rates. This work may provide a helpful context to providers, hospitals, and policymakers who are measuring and reporting outcomes. Regarding neonatal morbidity in particular, the Joint Commission manual notes that the unexpected newborn complication metric was specifically designed to be compared against maternal-focused metrics such as cesarean delivery rates. More work is needed to define and identify appropriate measures of maternal and neonatal morbidity for these types of comparisons.
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Affiliation(s)
- Mark A Clapp
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA (Drs Clapp, James, and Kaimal); Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA (Drs Clapp, Little, Robinson, and Kaimal); Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA (Dr Little); Department of Obstetrics and Gynecology, Newton-Wellesley Hospital, Newton, MA (Dr Robinson).
| | - Kaitlyn E James
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA (Drs Clapp, James, and Kaimal); Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA (Drs Clapp, Little, Robinson, and Kaimal); Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA (Dr Little); Department of Obstetrics and Gynecology, Newton-Wellesley Hospital, Newton, MA (Dr Robinson)
| | - Sarah E Little
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA (Drs Clapp, James, and Kaimal); Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA (Drs Clapp, Little, Robinson, and Kaimal); Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA (Dr Little); Department of Obstetrics and Gynecology, Newton-Wellesley Hospital, Newton, MA (Dr Robinson)
| | - Julian N Robinson
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA (Drs Clapp, James, and Kaimal); Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA (Drs Clapp, Little, Robinson, and Kaimal); Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA (Dr Little); Department of Obstetrics and Gynecology, Newton-Wellesley Hospital, Newton, MA (Dr Robinson)
| | - Anjali J Kaimal
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA (Drs Clapp, James, and Kaimal); Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA (Drs Clapp, Little, Robinson, and Kaimal); Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA (Dr Little); Department of Obstetrics and Gynecology, Newton-Wellesley Hospital, Newton, MA (Dr Robinson)
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Quibel T, Rozenberg P, Bouyer C, Bouyer J. Variation between hospital caesarean delivery rates when Robson's classification is considered: An observational study from a French perinatal network. PLoS One 2021; 16:e0251141. [PMID: 34415907 PMCID: PMC8378683 DOI: 10.1371/journal.pone.0251141] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 04/20/2021] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION WHO has recommended using Robson's Ten Group Classification System (TGCS) to monitor and analyze CD rates. Its failure to take some maternal and organizational factors into account, however, could limit the interpretation of CD rate comparisons, because it may contribute to variations in hospital CD rates. OBJECTIVE To study the contribution of maternal socioeconomic and clinical characteristics and hospital organizational factors to the variation in CD rates when using Robson's ten-group classification system for CD rate comparisons. METHODS This prospective, observational, population-based study included all deliveries at a gestational age > 24 weeks at the 10 hospitals of the French MYPA perinatal network in the Paris area. CD rates were calculated for each TGCS group in each hospital. Interhospital variations in these rates were investigated with hierarchical logistic regression models to quantify the variation explained by differences in patient and hospital characteristics when the TGCS is considered. Variations in CD rates between hospitals were estimated with median odds ratios (MOR) to express interhospital variance on the standard odds ratio scale. The percentage of variation explained by TGCS and maternal and hospital characteristics was also calculated. RESULTS The global CD rate was 24.0% (interhospital range: 17-32%). CD rates within each TGCS group differed significantly between hospitals (P<0.001). CD was significantly associated with maternal age (>40 years), severe preeclampsia, and two organizational factors: hospital status (private maternities) and the deliveries per staff member per 24 hours. The MOR in the empty model was 1.27 and did not change after taking the TGCS into account. Adding maternal characteristics and hospital organizational factors lowered the MOR to 1.14 and reduced the variation between hospital CD rates by 70%. CONCLUSION Maternal characteristics and hospital factors are needed to address variation in CD rates among the TGCS groups. Therefore, comparisons of these rates that do not consider these factors should be interpreted carefully.
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Affiliation(s)
- Thibaud Quibel
- Department of Gynecology and Obstetrics, Intercommunal Hospital Centre of Poissy-Saint-Germain-en-Laye, Poissy, France
- EA 7285, Research Unit "Risk and Safety in Clinical Medicine for Women and Perinatal Health", Versailles-Saint-Quentin University (UVSQ), Montigny-le-Bretonneux, France
| | - Patrick Rozenberg
- Department of Gynecology and Obstetrics, Intercommunal Hospital Centre of Poissy-Saint-Germain-en-Laye, Poissy, France
- EA 7285, Research Unit "Risk and Safety in Clinical Medicine for Women and Perinatal Health", Versailles-Saint-Quentin University (UVSQ), Montigny-le-Bretonneux, France
| | - Camille Bouyer
- Department of Gynecology and Obstetrics, Intercommunal Hospital Centre of Poissy-Saint-Germain-en-Laye, Poissy, France
- Réseau de Périnatalité Maternité en Yvelines et Périnatalité Active (MYPA), Saint-Germain-en-Laye, France
| | - Jean Bouyer
- Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France
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Chen TT, Tsou KI, Jim W, Chen CN. Risk-adjusted rates between hospitals for adverse outcomes of very-low-birth-weight infants. J Formos Med Assoc 2021; 120:1855-1862. [PMID: 33962810 DOI: 10.1016/j.jfma.2021.03.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 03/25/2021] [Accepted: 03/28/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND/PURPOSE To analyze the amount of variation in these risk-adjusted adverse outcomes corresponding to the care of premature births. In addition, hospitals were ranked according to their unadjusted and adjusted rates, and we assessed the degree of concordance between these rankings. Finally, the correlations of hospital-adjusted adverse outcomes were also tested. METHODS The study utilized the 5-year Taiwan Premature Infant Follow-up Network (TPFN) database in Taiwan from 2014 to 2018, and the sample size was 6482. We calculated the "observed over expected" (OE) ratio every year to form the risk-adjusted adverse outcome rate for each hospital. RESULTS There was a larger variation in the risk-adjusted rate for NEC and the second-largest variation for IVH. Regarding the concordances between the unadjusted and adjusted ranks, the ranks for mortality had the lowest concordance (coefficient of concordance 0.64), and only a few of the risk-adjusted rates between outcomes were significantly correlated. CONCLUSION The results of the TPFN show that there is room to improve performance in terms of large variations in NEC and IVH. Furthermore, risk adjustment is important, especially for mortality, since the ranks for mortality have the lowest concordance. Finally, we cannot generate a conclusion regarding whether a hospital is high in quality if we only take 1 or 2 adverse outcomes as profiling measures because only a few of the risk-adjusted rates between outcomes were significantly correlated.
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Affiliation(s)
- Tsung-Tai Chen
- Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Kuo-Inn Tsou
- Coordinator of Taiwan Premature Infant Follow-up Network, Taipei, Taiwan; Department of Pediatrics, Cardinal Tien Hospital, New Taipei City, Taiwan; College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
| | - Waitim Jim
- Division of Neonatology, Department of Pediatrics, MacKay Children's Hospital, Taipei, Taiwan; MacKay Medical College, New Taipei City, Taiwan; MacKay Junior College of Medicine, Nursing and Management, Taipei, Taiwan; National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
| | - Chi-Nien Chen
- Department of Pediatrics, National Taiwan University Hospital Hsinchu Branch, Taiwan
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Oot A, Huennekens K, Yee L, Feinglass J. Trends and Risk Markers for Severe Maternal Morbidity and Other Obstetric Complications. J Womens Health (Larchmt) 2021; 30:964-971. [PMID: 33524307 DOI: 10.1089/jwh.2020.8821] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Studies of obstetric quality of care have almost exclusively focused on severe maternal morbidity (SMM) and have rarely examined more common complications. Methods: This 2016-2018 retrospective, population-based cohort study analyzed maternal delivery outcomes at 127 Illinois hospitals. International Classification of Disease (ICD)-10 Revision codes were used to describe the incidence of SMM and route-specific complications. Poisson regression models were used to estimate the association of maternal sociodemographic, clinical, and hospital characteristics with the likelihood of coded complications. Results: Among 421,426 deliveries, the SMM rate was 1.4% overall, 0.4% for vaginal, and 2.8% for cesarean delivery. Other complications were documented for 6.9% of women with vaginal and 10.0% of women with cesarean deliveries. While SMM rates were stable, vaginal delivery complications increased 5.9% from 2016 to 2018 and cesarean delivery complications increased 13.8%. Patient age, minority race and ethnicity, high poverty level, and preexisting and pregnancy-related clinical conditions were significantly associated with each complication outcome. Higher hospital delivery volume was associated with higher route-specific complications. Conclusion: SMM significantly underestimates the incidence of maternal complications. Complicated deliveries have much higher charges and length of stay, although ICD-10 coding intensity may influence incidence. New outcome measures based on more detailed clinical data and linked antepartum and postpartum care will be necessary to improve obstetric quality of care measurement.
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Affiliation(s)
- Antoinette Oot
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Kaitlin Huennekens
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lynn Yee
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Joe Feinglass
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Vilkko R, Räisänen S, Gissler M, Stefanovic V, Heinonen S. Busy day effect on intrapartum adverse maternal outcomes - a population-based study of 601 247 singleton deliveries. BMC Pregnancy Childbirth 2021; 21:66. [PMID: 33468091 PMCID: PMC7816350 DOI: 10.1186/s12884-021-03552-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 01/11/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND This was a retrospective population-based study, utilizing the data of 601 247 singleton hospital deliveries collected from the Finnish Medical Birth Register (MBR) in 2006-2016. The aim of this study was to analyse the busy day effect on intrapartum adverse maternal outcomes. METHODS To implement the study design, daily delivery frequencies and ranges (min-max) for each delivery unit (n = 26) were stratified to the daily delivery volume distributions by the delivery unit's annual delivery volume and profile: Category (C)1 < 1000, C2 1000-1999, C3 2000-2999, C4 ≥ 3000 and C5 the profile of university hospitals. To study the busy day effect, the quiet, optimal and busy days were defined by calculating the number of days (%) with the lowest and highest daily delivery frequencies and summed to the nearest 10 % in each hospital category. Optimal days were determined by calculating approximately 80 % of deliveries occurring between the lowest 10 %, and highest 10 % in each hospital category. Crude and adjusted odd ratios (ORs) with 99 % confidence intervals (CIs) were used to analyze the busy day effect on adverse maternal outcomes, blood transfusions, manual removal of the placenta and obstetric anal sphincter injuries, separately in each hospital category. RESULTS The busy day effect was associated with the 28 % (99 % CI 8-52 %) and 25 % (99 % CI 11-40 %) increased need for blood transfusions in C2 and university hospitals (C5), respectively, whereas 22 % (99 % CI 10-31 %) less blood transfusions were needed at university hospitals during quiet days. In C3 hospitals, 83 % (99 % CI 65-92 %) less blood transfusions were needed during busy days. Obstetric and anal sphincter injury rates declined during quiet days by 22 % (99 % CI 3-38 %) only in university hospitals. CONCLUSIONS The findings of this study identify no specific pattern to the busy day effect for adverse maternal outcomes defined as manual removal of the placenta or obstetric and anal sphincter injuries. However, both quiet and busy days seem to be associated with increased or decreased need for blood transfusions in different sized delivery units. Findings also suggest that quiet days are associated with a decreased number of obstetric and anal sphincter injuries.
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Affiliation(s)
- Riitta Vilkko
- Doctoral Programme in Clinical Research, Faculty of Medicine, University of Helsinki, Haartmanninkatu 8, 00290, Helsinki, Finland.
| | - Sari Räisänen
- School of Health, Tampere University of Applied Sciences, Kuntokatu 3, 33520, Tampere, Finland
| | - Mika Gissler
- Information Services Department, THL Finnish Institute for Health and Welfare, Mannerheimintie 166, 00270, Helsinki, Finland
| | - Vedran Stefanovic
- Department of Obstetrics and Gynecology, Fetomaternal Medical Center, Helsinki University Hospital and University of Helsinki, Haartmaninkatu 2, 00290, Helsinki, Finland
| | - Seppo Heinonen
- Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, Haartmaninkatu 2, 00290, Helsinki, Finland
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Neonatal and Maternal Composite Adverse Outcomes Among Low-Risk Nulliparous Women Compared With Multiparous Women at 39-41 Weeks of Gestation. Obstet Gynecol 2020; 136:450-457. [PMID: 32769638 DOI: 10.1097/aog.0000000000003951] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To estimate whether the frequency of adverse maternal and neonatal outcomes differs between low-risk nulliparous and multiparous women at 39-41 weeks of gestation. METHODS This is a secondary analysis of an observational obstetrics cohort of maternal-neonatal dyads at 25 hospitals. Low-risk women with nonanomalous singletons who delivered between 39 0/7 and 41 6/7 weeks of gestation were included. The composite neonatal adverse outcome included 5-minute Apgar score less than five, ventilator support or cardiopulmonary resuscitation, seizure, hypoxic ischemic encephalopathy, sepsis, bronchopulmonary dysplasia, persistent pulmonary hypertension, necrotizing enterocolitis, birth injury or perinatal death. The composite maternal adverse outcome included infection, third- or fourth-degree perineal laceration, thromboembolism, transfusion of blood products, or maternal death. Small for gestational age (SGA), large for gestational age (LGA), and shoulder dystocia requiring maneuvers were also evaluated. Multivariable regression was used to estimate adjusted relative risks (aRRs) and adjusted odds ratios (aORs) with 95% CIs. RESULTS Of the 115,502 women in the overall cohort, 39,870 (34.5%) met eligibility criteria for this analysis; 18,245 (45.8%) were nulliparous. The risk of the composite neonatal adverse outcome (1.5% vs 1.0%, aRR 1.80, 95% CI 1.48-2.19), composite maternal adverse outcome (15.1% vs 3.3%, aRR 5.04, 95% CI 4.62-5.49), and SGA (8.9% vs 5.8%, aOR 1.45, 95% CI 1.33-1.57) was significantly higher in nulliparous than multiparous patients. The risk of LGA (aOR 0.65, 95% CI 0.60-0.71) and shoulder dystocia with maneuvers (aRR 0.68, 95% CI 0.60-0.77) was significantly lower in nulliparous rather than multiparous patients. CONCLUSION The risk of composite adverse outcomes and SGA among low-risk nulliparous women at 39-41 weeks of gestation is significantly higher than among multiparous counterparts. However, nulliparous women had a lower risk of shoulder dystocia with maneuvers and LGA.
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Xu C, Zhong W, Fu Q, Yi L, Deng Y, Cheng Z, Lin X, Cai M, Zhong S, Wang M, Tao H, Xiong H, Jiang X, Chen Y. Differential effects of different delivery methods on progression to severe postpartum hemorrhage between Chinese nulliparous and multiparous women: a retrospective cohort study. BMC Pregnancy Childbirth 2020; 20:660. [PMID: 33129300 PMCID: PMC7603680 DOI: 10.1186/s12884-020-03351-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 10/20/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Delivery methods are associated with postpartum hemorrhage (PPH) both in nulliparous and multiparous women. However, few studies have examined the difference in this association between nulliparous and multiparous women. This study aimed to explore the difference of maternal and neonatal characteristics and delivery methods between Chinese nulliparous and multiparous women, and then examine the differential effects of different delivery methods on PPH between these two-type women. METHODS Totally 151,333 medical records of women who gave birth between April 2013 to May 2016 were obtained from the electronic health records (EHR) in a northern province, China. The severity of PPH was estimated and classified into blood loss at the level of < 900 ml, 900-1500 ml, 1500-2100 ml, and > 2100 ml. Neonatal and maternal characteristics related to PPH were derived from the same database. Multiple ordinal logistic regression was used to estimate associations. RESULTS Medical comorbidities, placenta previa and accreta were higher in the nulliparous group and the episiotomy rate was higher in the multiparous group. Compared with spontaneous vaginal delivery (SVD), the adjusted odds (aOR) for progression to severe PPH due to the forceps-assisted delivery was much higher in multiparous women (aOR: 9.32; 95% CI: 3.66-23.71) than in nulliparous women (aOR: 1.70; 95% CI: 0.91-3.18). The (aOR) for progression to severe PPH due to cesarean section (CS) compared to SVD was twice as high in the multiparous women (aOR: 4.32; 95% CI: 3.03-6.14) as in the nulliparous women (aOR: 2.04; 95% CI: 1.40-2.97). However, the (aOR) for progression to severe PPH due to episiotomy compared to SVD between multiparous (aOR: 1.24; 95% CI: 0.96-1.62) and nulliparous women (aOR: 1.55; 95% CI: 0.92-2.60) was not significantly different. The (aOR) for progression to severe PPH due to vacuum-assisted delivery compared to SVD in multiparous women (aOR: 2.41; 95% CI: 0.36-16.29) was not significantly different from the nulliparous women (aOR: 1.05; 95% CI: 0.40-2.73). CONCLUSIONS Forceps-assisted delivery and CS methods were found to increase the risk of severity of the PPH. The adverse effects were even greater for multiparous women. Episiotomy and the vacuum-assisted delivery, and SVD were similar to the risk of progression to severe PPH in either nulliparous or multiparous women. Our findings have implications for the obstetric decision on the choice of delivery methods, maternal and neonatal health care, and obstetric quality control.
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Affiliation(s)
- Chang Xu
- Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Wanting Zhong
- Department of medical administration, Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai, 519000, China
| | - Qiang Fu
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO, 63013, USA
| | - Li Yi
- Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Yuqing Deng
- Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Zhaohui Cheng
- Department of Health Statistics and Research Development, Chongqing Health Information Center, Chongqing, 401120, China
| | - Xiaojun Lin
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Miao Cai
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO, 63013, USA
| | - Shilin Zhong
- Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Manli Wang
- China Center for Special Economic Zone Research, Shenzhen University, Shenzhen, 518060, Guangdong, China.
| | - Hongbing Tao
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430016, China
| | - Haoling Xiong
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430016, China
| | - Xin Jiang
- Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Yun Chen
- Peking University Shenzhen Hospital, Shenzhen, 518036, China
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Association Between Time of Day and the Decision for an Intrapartum Cesarean Delivery. Obstet Gynecol 2020; 135:535-541. [PMID: 32028489 DOI: 10.1097/aog.0000000000003707] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To examine whether the decision and indications for performing intrapartum cesarean delivery vary by time of day. METHODS We conducted a secondary analysis of a multicenter observational cohort of 115,502 deliveries (2008-2011), including nulliparous women with term, singleton, nonanomalous live gestations in vertex presentation who were attempting labor. Those who attempted home birth, or underwent cesarean delivery scheduled or decided less than 30 minutes after admission were excluded. Time of day was defined as cesarean delivery decision time among those who delivered by cesarean and delivery time among those who delivered vaginally, categorized by each hour of a 24-hour day. Primary outcomes were decision to perform cesarean delivery and the indications for cesarean delivery (labor dystocia, nonreassuring fetal status, or other indications). Secondary outcomes included whether a dystocia indication adhered to standards promoted to reduce cesarean delivery rates. Bivariate analyses were performed using χ and Kruskal-Wallis tests for categorical and continuous outcomes, respectively, and generalized additive models with smoothing splines explored nonlinear associations without adjustment for other factors. RESULTS Seven thousand nine hundred fifty-six (22.1%) of 36,014 eligible women underwent cesarean delivery. Decision for cesarean delivery (P<.001) decreased from midnight (21.2%) to morning, reaching a nadir at 10:00 (17.9%) and subsequently rising to peak at 21:00 (26.2%). The frequency of cesarean delivery for dystocia also was significantly associated with time of day (P<.001) in a pattern mirroring overall cesarean delivery. Among cesarean deliveries for dystocia (n=5,274), decision for cesarean delivery at less than 5 cm dilation (P<.001), median duration from 5 cm dilation to cesarean delivery decision (P=.003), and median duration from complete dilation to cesarean delivery decision (P=.014) all significantly differed with time of day. The frequency of nonreassuring fetal status and "other" indications were not significantly associated with time of day (P>.05). CONCLUSION Among nulliparous women who were attempting labor at term, the decision to perform cesarean delivery, particularly for dystocia, varied with time of day. Some of these differences correlate with labor management differences, given the changing frequency of latent phase cesarean delivery and median time in active phase.
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Howell EA, Janevic T, Blum J, Zeitlin J, Egorova NN, Balbierz A, Hebert PL. Double Disadvantage in Delivery Hospital for Black and Hispanic Women and High-Risk Infants. Matern Child Health J 2020; 24:687-693. [PMID: 32303940 PMCID: PMC7265984 DOI: 10.1007/s10995-020-02911-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To determine whether delivery hospitals that perform poorly for women also perform poorly for high-risk infants and to what extent Black and Hispanic women receive care at hospitals that perform poorly for both women and infants. METHODS We examined the correlation between hospital rankings for severe maternal morbidity and very preterm morbidity and mortality in New York City Hospitals using linked birth certificate and state discharge data for 2010-2014. We used mixed-effects logistic regression with a random hospital-specific intercept to generate risk standardized severe maternal morbidity rates and very preterm birth neonatal morbidity and mortality rates for each hospital. We ranked hospitals separately by these risk-standardized rates. We used k-means cluster analysis to categorize hospitals based on their performance on both metrics and risk-adjusted multinomial logistic regression to estimate adjusted probabilities of delivering in each hospital-quality cluster by race/ethnicity. RESULTS Hospital rankings for severe maternal morbidity and very preterm neonatal morbidity-mortality were moderately correlated (r = .32; p = .05). A 5-cluster solution best fit the data and yielded the categories for hospital performance for women and infants: excellent, good, fair, fair to poor, poor. Black and Hispanic versus White women were less likely to deliver in an excellent quality cluster (adjusted percent of 11%, 18% vs 28%, respectively, p < .001) and more likely to deliver in a poor quality cluster (adjusted percent of 28%, 20%, vs. 4%, respectively, p < .001). CONCLUSIONS FOR PRACTISE Hospital performance for maternal and high-risk infant outcomes is only moderately correlated but Black and Hispanic women deliver at hospitals with worse outcomes for both women and very preterm infants.
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Affiliation(s)
- Elizabeth A Howell
- Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1070, New York, NY, 10029, USA.
- Blavatnik Family Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA.
| | - Teresa Janevic
- Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1070, New York, NY, 10029, USA
- Blavatnik Family Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA
| | - James Blum
- Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1002, New York, NY, 10029, USA
| | - Jennifer Zeitlin
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Biostatistics Sorbonne Paris Cité, DHU Risks in Pregnancy, Paris Descartes University, Paris, France
| | - Natalia N Egorova
- Blavatnik Family Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA
| | - Amy Balbierz
- Blavatnik Family Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY, 10029, USA
| | - Paul L Hebert
- University of Washington School of Public Health, Seattle, WA, USA
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Abstract
OBJECTIVE To evaluate whether labor is associated with lower odds of respiratory morbidity among neonates born from 36 to 40 weeks of gestation and to assess whether this association varies by gestational age and maternal diabetic status. METHODS We conducted a secondary analysis of women in the Assessment of Perinatal Excellence obstetric cohort who delivered across 25 U.S. hospitals over a 3-year period. Women with a singleton liveborn nonanomalous neonate who delivered from 36 to 40 weeks of gestation were included in our analysis. Those who received antenatal corticosteroids, underwent amniocentesis for fetal lung maturity, or did not meet dating criteria were excluded. Our primary outcome was composite neonatal respiratory morbidity, which included respiratory distress syndrome, ventilator support, continuous positive airway pressure, or neonatal death. Maternal characteristics and neonatal outcomes between women who labored and those who did not were compared. Multivariable logistic regression models were used to evaluate the association between labor and the primary outcome. Interactions between labor and diabetes mellitus and labor and gestational age were tested. RESULTS Our analysis included 63,187 women who underwent labor and 10,629 who did not. There was no interaction between labor and diabetes mellitus (P=.90). However, there was a significant interaction between labor and gestational age (P=.01). In the adjusted model, labor was associated with lower odds of neonatal respiratory morbidity compared with no labor for neonates delivered from 36-39 weeks of gestation. A 1-week increase in gestational age was associated with a 1.2 times increase in the adjusted odds ratio for the neonatal outcome comparing labor and no labor. CONCLUSION Labor was associated with lower odds of the composite outcome among neonates delivered from 36-39 weeks of gestation. The magnitude of this association varied by gestational age. The association was similar for women with or without diabetes mellitus.
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Nelson DB, Spong CY. Unintended Consequences of Obstetric Quality Metrics-Do Not Throw the Baby Out With the Bathwater. JAMA Netw Open 2020; 3:e1919749. [PMID: 32049286 DOI: 10.1001/jamanetworkopen.2019.19749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- David B Nelson
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas
| | - Catherine Y Spong
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas
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García-Mejido JA, Martín-Martínez A, González-Diaz E, Fernández-Fernández C, Ortega I, Medina M, Fernández-Corona A, Fernández-Palacín A, Sainz JA. Malmström vacuum or Kielland forceps: which causes more damage to pelvic floor? ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 55:257-263. [PMID: 31332857 DOI: 10.1002/uog.20404] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 07/01/2019] [Accepted: 07/03/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To determine whether differences exist in the rate of levator ani muscle (LAM) avulsion between women who had undergone either Malmström vacuum delivery (MVD) or Kielland forceps delivery (KFD), allowing for potential confounding factors. METHODS This was a prospective observational study of nulliparous women undergoing instrumental delivery using Malmström vacuum extractor or Kielland forceps, at two hospital centers in Spain. Fetal head position (anterior, posterior or transverse) and fetal head station (low or mid) were assessed by ultrasound and digital examination, respectively. Avulsion was defined on tomographic ultrasound imaging as an abnormal insertion of the LAM in the three central slices from the plane of minimal hiatal dimensions. RESULTS In total, 414 patients were included in the study (212 MVD and 202 KFD). We observed a higher rate of LAM avulsion in the KFD group (KFD 49.5% vs MVD 32.5%; P = 0.001). When the results were evaluated according to fetal head position and station, we observed no differences in LAM avulsion. The crude odds ratio (OR) for the difference in avulsion between women in the KFD and MVD groups was 2.03 (95% CI, 1.36-3.03). However, when adjusted for duration of second stage of labor, fetal head circumference and fetal head station, the OR was no longer statistically significant (OR, 2.14 (95% CI, 0.95-4.85); P = 0.068). CONCLUSION When potential confounding factors are taken into account, the rate of LAM avulsion does not differ between women according to whether they have undergone KFD or MVD. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- J A García-Mejido
- Department of Obstetrics and Gynecology, Valme University Hospital, Seville, Spain
- Department of Obstetrics and Gynecology, University of Seville, Seville, Spain
| | - A Martín-Martínez
- Department of Obstetrics and Gynecology, Complejo Asistencial Universitario de Gran Canarias, Gran Canarias, Spain
| | - E González-Diaz
- Department of Obstetrics and Gynecology, Complejo Asistencial Universitario de Leon (CAULE), Leon, Spain
| | - C Fernández-Fernández
- Department of Obstetrics and Gynecology, Complejo Asistencial Universitario de Leon (CAULE), Leon, Spain
| | - I Ortega
- Department of Obstetrics and Gynecology, Complejo Asistencial Universitario de Gran Canarias, Gran Canarias, Spain
| | - M Medina
- Department of Obstetrics and Gynecology, Complejo Asistencial Universitario de Gran Canarias, Gran Canarias, Spain
| | - A Fernández-Corona
- Department of Obstetrics and Gynecology, Complejo Asistencial Universitario de Leon (CAULE), Leon, Spain
| | - A Fernández-Palacín
- Biostatistics Unit, Department of Preventive Medicine and Public Health, University of Seville, Seville, Spain
| | - J A Sainz
- Department of Obstetrics and Gynecology, Valme University Hospital, Seville, Spain
- Department of Obstetrics and Gynecology, University of Seville, Seville, Spain
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Easter SR, Rouse CE, Duarte V, Hynes JS, Singh MN, Landzberg MJ, Valente AM, Economy KE. Planned vaginal delivery and cardiovascular morbidity in pregnant women with heart disease. Am J Obstet Gynecol 2020; 222:77.e1-77.e11. [PMID: 31310750 DOI: 10.1016/j.ajog.2019.07.019] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/30/2019] [Accepted: 07/10/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND Although consensus guidelines on the management of cardiovascular disease in pregnancy reserve cesarean delivery for obstetric indications, there is a paucity of data to support this approach. OBJECTIVE The objective of the study was to compare cardiovascular and obstetric morbidity in women with cardiovascular disease according to the plan for vaginal birth or cesarean delivery. STUDY DESIGN We assembled a prospective cohort of women delivering at an academic tertiary care center with a protocolized multidisciplinary approach to management of cardiovascular disease between September 2011 and December 2016. Our practice is to encourage vaginal birth in women with cardiovascular disease unless there is an obstetric indication for cesarean delivery. We allow women attempting vaginal birth a trial of Valsalva in the second stage with the ability to provide operative vaginal delivery if pushing leads to changes in hemodynamics or symptoms. Women were classified according to planned mode of delivery: either vaginal birth or cesarean delivery. We then used univariate analysis to compare adverse outcomes according to planned mode of delivery. The primary composite cardiac outcome of interest included sustained arrhythmia, heart failure, cardiac arrest, cerebral vascular accident, need for cardiac surgery or intervention, or death. Secondary obstetric and neonatal outcomes were also considered. RESULTS We included 276 consenting women with congenital heart disease (68.5%), arrhythmias (11.2%), connective tissue disease (9.1%), cardiomyopathy (8.0%), valvular disease (1.4%), or vascular heart disease (1.8%) at or beyond 24 weeks' gestation. Seventy-six percent (n = 210) planned vaginal birth and 24% (n = 66) planned cesarean delivery. Women planning vaginal birth had lower rates of left ventricular outflow tract obstruction, multiparity, and preterm delivery. All women attempting vaginal birth were allowed Valsalva. Among planned vaginal deliveries 86.2% (n = 181) were successful, with a 9.5% operative vaginal delivery rate. Five women underwent operative vaginal delivery for the indication of cardiovascular disease without another obstetric indication at the discretion of the delivering provider. Four of these patients tolerated trials of Valsalva ranging from 15 to 75 minutes prior to delivery. Adverse cardiac outcomes were similar between planned vaginal birth and cesarean delivery groups (4.3% vs 3.0%, P = 1.00). Rates of postpartum hemorrhage (1.9% vs 10.6%, P < .01) and transfusion (1.9% vs 9.1%, P = .01) were lower in the planned vaginal birth group. There were no differences in adverse cardiac, obstetric, or neonatal outcomes in the cohort overall or the subset of women with high-risk cardiovascular disease or a high burden of obstetric comorbidity. CONCLUSION These findings suggest that cesarean delivery does not reduce adverse cardiovascular outcomes and lend support to a planned vaginal birth for the majority of women with cardiovascular disease including those with high-risk disease.
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Howell EA, Ahmed ZN, Sofaer S, Zeitlin J. Positive Deviance to Address Health Equity in Quality and Safety in Obstetrics. Clin Obstet Gynecol 2019; 62:560-571. [PMID: 31206366 PMCID: PMC6988184 DOI: 10.1097/grf.0000000000000472] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Racial/ethnic disparities persist in obstetrical outcomes. In this paper, we ask how research in obstetrical quality can go beyond a purely quantitative approach to tackle the challenge of health inequity in quality and safety. This overview debriefs the use of positive deviance and mixed methods in others areas of medicine, describes the shortcomings of quantitative methods in obstetrics and presents qualitative studies carried out in obstetrics as well as the insights provided by this method. The article concludes by proposing positive deviance as a mixed methods approach to generate new knowledge for addressing racial and ethnic disparities in maternal outcomes.
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Affiliation(s)
- Elizabeth A Howell
- Blavatnik Family Women's Health Research Institute
- Departments of Population Health Science & Policy
- Obstetrics, Gynecology, and Reproductive Science
| | - Zainab N Ahmed
- Departments of Population Health Science & Policy
- Obstetrics, Gynecology, and Reproductive Science
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Shoshanna Sofaer
- American Institutes for Research, Washington, District of Columbia
| | - Jennifer Zeitlin
- Departments of Population Health Science & Policy
- Icahn School of Medicine at Mount Sinai, New York, New York
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Biostatistics Sorbonne Paris Cité, DHU Risks in Pregnancy, Paris Descartes University, Paris, France
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Campbell KH, Illuzzi JL, Lee HC, Lin H, Lipkind HS, Lundsberg LS, Pettker CM, Xu X. Optimal maternal and neonatal outcomes and associated hospital characteristics. Birth 2019; 46:289-299. [PMID: 30251270 DOI: 10.1111/birt.12400] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 08/24/2018] [Accepted: 08/27/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND This study aims to examine hospital variation in both maternal and neonatal morbidities and identify institutional characteristics associated with hospital performance in a combined measure of maternal and neonatal outcomes. METHODS Using the California Linked Birth File containing data from birth certificate and hospital discharge records, we identified 1 322 713 term births delivered at 248 hospitals during 2010-2012. For each hospital, a risk-standardized rate of severe maternal morbidities and a risk-standardized rate of severe newborn morbidities were calculated after adjusting for patient clinical risk factors. Hospitals were ranked based on combined information on their maternal and newborn morbidity rates. RESULTS Risk-standardized severe maternal and severe newborn morbidity rates varied substantially across hospitals (10th to 90th percentile range = 67.5-148.2 and 141.8-508.0 per 10 000 term births, respectively), although there was no significant association between the two (P = 0.15). Government hospitals (non-Federal) were more likely than other hospitals to be in worse rank quartiles (P value for trend = 0.004), whereas larger volume was associated with better rank among hospitals in the first three quartiles (P = 0.004). The most prevalent morbidities that differed progressively across hospital rank quartiles were severe hemorrhage, disseminated intravascular coagulation, and heart failure during procedure/surgery for mothers, and severe infection, respiratory complication, and shock/resuscitation for neonates. CONCLUSIONS Hospitals with low maternal morbidity rates may not have low neonatal morbidity rates and vice versa, highlighting the importance of assessing joint maternal-newborn outcomes in order to fully characterize a hospital's obstetrical performance. Hospitals with smaller volume and government ownership tend to have less desirable outcomes and warrant additional attention in future quality improvement efforts.
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Affiliation(s)
- Katherine H Campbell
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut
| | - Jessica L Illuzzi
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut
| | - Henry C Lee
- Department of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Haiqun Lin
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Heather S Lipkind
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut
| | - Lisbet S Lundsberg
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut
| | - Christian M Pettker
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut
| | - Xiao Xu
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut
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Abstract
Outcomes research on obstetric venous thromboembolism (VTE) involves a number of major challenges. While obstetric VTE, including deep vein thrombosis and pulmonary embolism, is relatively common on a population basis, diagnoses during pregnancy are relatively rare in comparison to high-risk scenarios such as orthopedic surgery. This review characterizes outcomes research on obstetric VTE with a focus on strengths, limitations, and appropriate inferences from existing research. It is divided into four sections. First, evidence regarding validity of diagnosis codes for VTE in administrative data is reviewed. Second, limitations of both clinical research and administrative-data study models are analyzed. Third, examples of high-quality obstetric VTE research from the literature and opportunities for improved research in the future are reviewed. Fourth, future directions for research are explored.
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Affiliation(s)
- Cassandra R Duffy
- Department of Obstetrics and Gynecology, College of Physicians and Surgeons, Columbia University, New York, USA
| | - Alexander M Friedman
- Department of Obstetrics and Gynecology, College of Physicians and Surgeons, Columbia University, New York, USA.
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Miller ES, Lai Y, Bailit J, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Leveno KJ, Caritis SN, Prasad M, Tita ATN, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Duration of Operative Vaginal Delivery and Adverse Obstetric Outcomes. Am J Perinatol 2019; 37:503-510. [PMID: 30895577 PMCID: PMC6754310 DOI: 10.1055/s-0039-1683439] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
OBJECTIVE This study aimed to evaluate whether the number of vacuum pop-offs, the number of forceps pulls, or the duration of operative vaginal delivery (OVD) is associated with adverse maternal and perinatal outcomes. STUDY DESIGN This is a secondary analysis of a multicenter observational cohort of women who underwent an attempted OVD. Women were stratified by the duration of OVD and the number of pop-offs (vacuum) or pulls (forceps) attempted. Severe perineal lacerations, failed OVD, and a composite adverse neonatal outcome were compared by the duration of OVD and number of pop-offs or pulls. RESULTS Of the 115,502 women in the primary cohort, 5,325 (4.6%) underwent an attempt at OVD: 3,594 (67.5%) with vacuum and 1,731 (32.5%) with forceps. After adjusting for potential confounders, an increasing number of pop-offs was associated with an increased odds of the composite adverse neonatal outcome. However, an increasing duration of vacuum exhibited a stronger association with the composite adverse neonatal outcome. Similarly, the number of forceps pulls was less strongly associated with the composite adverse neonatal outcome compared with the duration of forceps application. CONCLUSION The duration of OVD may be more associated with adverse neonatal outcomes than the number of pop-offs or pulls.
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Affiliation(s)
- Emily S. Miller
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois
| | - Yinglei Lai
- Biostatistics Center, The George Washington University, Washington, District of Columbia
| | - Jennifer Bailit
- Department of Obstetrics and Gynecology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Uma M. Reddy
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Ronald J. Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michael W. Varner
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - John M. Thorp
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kenneth J. Leveno
- Department of Obstetrics and Gynecology, UT Southwestern Medical Center, Dallas, Texas
| | - Steve N. Caritis
- Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Alan T. N. Tita
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - George R. Saade
- Department of Obstetrics and Gynecology, The University of Texas Medical Branch, Galveston, Texas
| | - Yoram Sorokin
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J. Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Sean C. Blackwell
- Department of Obstetrics and Gynecology, Children’s Memorial Hermann Hospital, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Jorge E. Tolosa
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon
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Sauvegrain P, Chantry AA, Chiesa-Dubruille C, Keita H, Goffinet F, Deneux-Tharaux C. Monitoring quality of obstetric care from hospital discharge databases: A Delphi survey to propose a new set of indicators based on maternal health outcomes. PLoS One 2019; 14:e0211955. [PMID: 30753232 PMCID: PMC6372226 DOI: 10.1371/journal.pone.0211955] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/24/2019] [Indexed: 11/30/2022] Open
Abstract
Objectives Most indicators proposed for assessing quality of care in obstetrics are process indicators and do not directly measure health effects, and cannot always be identified from routinely available databases. Our objective was to propose a set of indicators to assess the quality of hospital obstetric care from maternal morbidity outcomes identifiable in permanent hospital discharge databases. Methods Various maternal morbidity outcomes potentially reflecting quality of obstetric care were first selected from a systematic literature review. Then a three-round Delphi consensus survey was conducted online from 11/2016 through 02/2017 among a French panel of 37 expert obstetricians, anesthetists-critical-care specialists, midwives, quality-of-care researchers, and user representatives. For a given maternal outcome, several definitions could be proposed and the indicator (i.e. corresponding rate) could be applied to all women or restricted to specific subgroup(s). Results Of the 49 experts invited to participate, 37 agreed. The response rate was 92% in the second round and 97% in the third. Finally, a set of 13 indicators was selected to assess the quality of hospital obstetric care: rates of uterine rupture, postpartum hemorrhage, transfusion incident, severe perineal lacerations, episiotomy, cesarean, cesarean under general anesthesia, post-cesarean site infection, anesthesia-related complications, postpartum pulmonary embolism, maternal readmission and maternal mortality. Six were considered in specific subgroups, with, for example, the postpartum hemorrhage rate assessed among all women and also among women at low risk of PPH. Implications This Delphi process enabled us to define consensually a set of indicators to assess the quality of hospital obstetrics care from routine hospital data, based on maternal morbidity outcomes. Considering 6 of them in specific subgroups of women is especially interesting. These indicators, identifiable through codes used in international classifications, will be useful to monitor quality of care over time and across settings.
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Affiliation(s)
- Priscille Sauvegrain
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
- Department of Obstetrics and Gynecology, AP-HP Pitié-Salpêtrière, Paris, France
- * E-mail:
| | - Anne Alice Chantry
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
- School of Midwives, Baudelocque, AP-HP, University of Paris Descartes, DHU Risks in Pregnancy, Paris, France
| | - Coralie Chiesa-Dubruille
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
| | - Hawa Keita
- Department of Anesthesia and reanimation, AP-HP Louis Mourier, DHU Risks in Pregnancy, Colombes, France
- Paris Diderot university, Sorbonne Paris Cité, EA 7334 Recherche Clinique coordonnée ville-hôpital, Méthodologies et Société (REMES), Paris, France
| | - François Goffinet
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
- Department of Obstetrics and Gynecology, AP-HP Cochin-Port Royal, DHU Risks in Pregnancy, Paris, France
| | - Catherine Deneux-Tharaux
- Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé) Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France
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Yee LM, McGee P, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Leveno KJ, Caritis SN, Prasad M, Tita ATN, Saade G, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Daytime Compared With Nighttime Differences in Management and Outcomes of Postpartum Hemorrhage. Obstet Gynecol 2019; 133:155-162. [PMID: 30531567 PMCID: PMC6309479 DOI: 10.1097/aog.0000000000003033] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To assess whether postpartum hemorrhage management or subsequent morbidity differs based on whether delivery occurred during the day or night. METHODS We conducted a secondary analysis of a multicenter observational obstetric cohort of more than 115,000 mother-neonate pairs from 25 hospitals (2008-2011). This analysis included women delivering singleton or twin births who experienced postpartum hemorrhage (estimated blood loss greater than 500 cc for vaginal delivery, estimated blood loss greater than 1,000 cc for cesarean delivery, or documented treatment for postpartum hemorrhage). Nighttime delivery was defined as that occurring between 8 PM and 6 AM. The primary outcome was a composite of maternal morbidity (death, hysterectomy, intensive care unit admission, transfusion, or unanticipated procedure for bleeding). Secondary outcomes included estimated blood loss, uterotonic use, and procedures to treat bleeding that occurred during the postpartum hospitalization. Multivariable logistic, linear, quantile, and multinomial regression models were used to assess associations between nighttime delivery and outcomes, adjusting for potential patient-level confounders and hospital as a fixed effect. RESULTS In total, 2,709 (34.2%) of 7,917 women with postpartum hemorrhage delivered at night. Women who delivered at night were younger, had a lower body mass index, and were more likely to have government-sponsored insurance, be nulliparous, have hypertension, use neuraxial analgesia, and deliver vaginally. After adjusting for potential confounders, the primary composite outcome of maternal morbidity was similar regardless of night compared with day delivery (15.5% night vs 17.5% day; adjusted odds ratio 0.89, 95% CI 0.77-1.03). Some secondary outcomes, including mean EBL, frequency of uterotonic use, and time from delivery to first uterotonic dose, differed on unadjusted analyses, but these associations did not persist in multivariable analysis. The study had limited power to assess differences in uncommon outcomes. CONCLUSION Nighttime delivery was not associated with significant differences in postpartum hemorrhage-related management or morbidity.
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Affiliation(s)
- Lynn M Yee
- Departments of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio, Columbia University, New York, New York, the University of Utah Health Sciences Center, Salt Lake City, Utah, the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, the University of Texas Southwestern Medical Center, Dallas, Texas, the University of Pittsburgh, Pittsburgh, Pennsylvania, The Ohio State University, Columbus, Ohio, the University of Alabama at Birmingham, Birmingham, Alabama, the University of Texas Medical Branch, Galveston, Texas, Wayne State University, Detroit, Michigan, Brown University, Providence, Rhode Island, the University of Texas Health Science Center at Houston, McGovern Medical School-Children's Memorial Hermann Hospital, Houston, Texas, and Oregon Health & Science University, Portland, Oregon; the George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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Plough A, Polzin-Rosenberg D, Galvin G, Shao A, Sullivan B, Henrich N, Shah NT. An Exploratory Study of the Relationship between Facility Design and the Provision of Childbirth Care. J Midwifery Womens Health 2018; 64:12-17. [DOI: 10.1111/jmwh.12920] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 09/12/2018] [Accepted: 09/13/2018] [Indexed: 11/30/2022]
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Kominiarek MA, Saade G, Mele L, Bailit J, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita ATN, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Association Between Gestational Weight Gain and Perinatal Outcomes. Obstet Gynecol 2018; 132:875-881. [PMID: 30204701 PMCID: PMC6153045 DOI: 10.1097/aog.0000000000002854] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To evaluate the association between gestational weight gain and maternal and neonatal outcomes in a large, geographically diverse cohort. METHODS Trained chart abstractors at 25 hospitals obtained maternal and neonatal data for all deliveries on randomly selected days over 3 years (2008-2011). Gestational weight gain was derived using weight at delivery minus prepregnancy or first-trimester weight and categorized as below, within, or above the Institute of Medicine (IOM) guidelines in this retrospective cohort study. Maternal (primary or repeat cesarean delivery, third- or fourth-degree lacerations, severe postpartum hemorrhage, hypertensive disease of pregnancy) and neonatal (preterm birth, shoulder dystocia, macrosomia, hypoglycemia) outcomes were compared among women in the gestational weight gain categories in unadjusted and adjusted analyses with odds ratios (ORs) and 95% CI reported. Covariates included age, race-ethnicity, tobacco use, insurance type, parity, prior cesarean delivery, pregestational diabetes, hypertension, and hospital type. RESULTS Of the 29,861 women included, 51% and 21% had gestational weight gain above and below the guidelines, respectively. There was an association between gestational weight gain above the IOM guidelines and cesarean delivery in both nulliparous women (adjusted OR 1.44, 95% CI 1.31-1.59) and multiparous women (adjusted OR 1.26, 95% CI 1.13-1.41) and hypertensive diseases of pregnancy in nulliparous and multiparous women combined (adjusted OR 1.84, 95% CI 1.66-2.04). For the neonatal outcomes, gestational weight gain above the IOM guidelines was associated with shoulder dystocia (adjusted OR 1.74, 95% CI 1.41-2.14), macrosomia (adjusted OR 2.66, 95% CI 2.03-3.48), and neonatal hypoglycemia (adjusted OR 1.60, 95% CI 1.16-2.22). Gestational weight gain below the guidelines was associated with spontaneous (adjusted OR 1.50, 95% CI 1.31-1.73) and indicated (adjusted OR 1.34, 95% CI 1.12-1.60) preterm birth. CONCLUSION In a large, diverse cohort with prospectively collected data, gestational weight gain below or above guidelines is associated with a variety of adverse pregnancy outcomes.
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Affiliation(s)
- Michelle A Kominiarek
- Departments of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois, University of Texas Medical Branch, Galveston, Texas, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio, Columbia University, New York, New York, University of Utah Health Sciences Center, Salt Lake City, Utah, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, University of Pittsburgh, Pittsburgh, Pennsylvania, The Ohio State University, Columbus, Ohio, University of Alabama at Birmingham, Birmingham, Alabama, Wayne State University, Detroit, Michigan, Brown University, Providence, Rhode Island, University of Texas Health Science Center at Houston-Children's Memorial Hermann Hospital, Houston, Texas, and Oregon Health & Science University, Portland, Oregon; the George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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Roy A, Peaceman A, Son M, Feinglass J. Maternal Obstetric Complication Rates Remain High in Illinois: A Retrospective Study, 2010-2015. Jt Comm J Qual Patient Saf 2018; 45:24-30. [PMID: 30121161 DOI: 10.1016/j.jcjq.2018.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Revised: 02/20/2018] [Accepted: 02/21/2018] [Indexed: 11/29/2022]
Abstract
BACKGROUND Quality measures for maternal childbirth outcomes remain controversial, although there is a consensus that maternal morbidity has been increasing in recent years. To determine whether childbirth safety has declined in Illinois, the likelihood of maternal obstetric complications was modeled by using both an established measure of severe maternal morbidity and a more expansive complication coding algorithm. METHODS In a retrospective cohort study of 792,122 deliveries at 127 Illinois hospitals from July 2010 to September 2015, International Classification of Diseases, Ninth Revision (ICD-9) codes were used to identify Centers for Disease Control and Prevention-defined severe maternal morbidity, as well as other maternal complications defined by a route of delivery-specific algorithm originally used to evaluate the quality of obstetrics residency programs. Poisson and logistic regression were used to analyze the likelihood of delivery complications during the study period, controlling for maternal sociodemographic and clinical characteristics. RESULTS The severe maternal morbidity rate was 0.99% for vaginal and 3.76% for cesarean deliveries. The maternal complication rates were much higher-9.44% for vaginal and 14.66% for cesarean deliveries. After controlling for patient characteristics, severe maternal morbidity remained constant, but there was a statistically significant, approximately 20% increase in the incidence of other maternal complications from 2010 to 2015 for both vaginal and cesarean deliveries. CONCLUSION Severe maternal morbidity remained stable during the study period, but other maternal complications increased significantly. Severe maternal morbidity may undercount potentially preventable complications. New, more reliable measures of preventable delivery complications may have to be based on electronic health record standards.
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45
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Grobman WA, Rice MM, Reddy UM, Tita ATN, Silver RM, Mallett G, Hill K, Thom EA, El-Sayed YY, Perez-Delboy A, Rouse DJ, Saade GR, Boggess KA, Chauhan SP, Iams JD, Chien EK, Casey BM, Gibbs RS, Srinivas SK, Swamy GK, Simhan HN, Macones GA. Labor Induction versus Expectant Management in Low-Risk Nulliparous Women. N Engl J Med 2018; 379:513-523. [PMID: 30089070 PMCID: PMC6186292 DOI: 10.1056/nejmoa1800566] [Citation(s) in RCA: 705] [Impact Index Per Article: 117.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND The perinatal and maternal consequences of induction of labor at 39 weeks among low-risk nulliparous women are uncertain. METHODS In this multicenter trial, we randomly assigned low-risk nulliparous women who were at 38 weeks 0 days to 38 weeks 6 days of gestation to labor induction at 39 weeks 0 days to 39 weeks 4 days or to expectant management. The primary outcome was a composite of perinatal death or severe neonatal complications; the principal secondary outcome was cesarean delivery. RESULTS A total of 3062 women were assigned to labor induction, and 3044 were assigned to expectant management. The primary outcome occurred in 4.3% of neonates in the induction group and in 5.4% in the expectant-management group (relative risk, 0.80; 95% confidence interval [CI], 0.64 to 1.00). The frequency of cesarean delivery was significantly lower in the induction group than in the expectant-management group (18.6% vs. 22.2%; relative risk, 0.84; 95% CI, 0.76 to 0.93). CONCLUSIONS Induction of labor at 39 weeks in low-risk nulliparous women did not result in a significantly lower frequency of a composite adverse perinatal outcome, but it did result in a significantly lower frequency of cesarean delivery. (Funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development; ARRIVE ClinicalTrials.gov number, NCT01990612 .).
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Affiliation(s)
- William A Grobman
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Madeline M Rice
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Uma M Reddy
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Alan T N Tita
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Robert M Silver
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Gail Mallett
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Kim Hill
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Elizabeth A Thom
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Yasser Y El-Sayed
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Annette Perez-Delboy
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Dwight J Rouse
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - George R Saade
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Kim A Boggess
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Suneet P Chauhan
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Jay D Iams
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Edward K Chien
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Brian M Casey
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Ronald S Gibbs
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Sindhu K Srinivas
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Geeta K Swamy
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - Hyagriv N Simhan
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
| | - George A Macones
- From the Department of Obstetrics and Gynecology, Northwestern University, Chicago (W.A.G., G.M.); University of Alabama at Birmingham, Birmingham (A.T.N.T.); University of Utah Health Sciences Center, Salt Lake City (R.M.S., K.H.); Stanford University, Stanford, CA (Y.Y.E.-S.); Columbia University, New York (A.P.-D.); Brown University, Providence, RI (D.J.R.); University of Texas Medical Branch, Galveston (G.R.S.), University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston (S.P.C.), and University of Texas Southwestern Medical Center, Dallas (B.M.C.) - all in Texas; University of North Carolina at Chapel Hill, Chapel Hill (K.A.B.), and Duke University, Durham (G.K.S.) - both in North Carolina; Ohio State University, Columbus (J.D.I.), and MetroHealth Medical Center, Case Western Reserve University, Cleveland (E.K.C.) - both in Ohio; University of Colorado School of Medicine, Anschutz Medical Campus, Aurora (R.S.G.); University of Pennsylvania, Philadelphia (S.K.S.); University of Pittsburgh, Pittsburgh (H.N.S.) - both in Pennsylvania; Washington University, St. Louis (G.A.M.); the George Washington University Biostatistics Center, Washington, DC (M.M.R., E.A.T.); and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (U.M.R.)
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Mesterton J, Brommels M, Ladfors L, Lindgren P, Amer-Wåhlin I. Inter-hospital variations in health outcomes in childbirth care in Sweden: a register-based study. Int J Qual Health Care 2018; 31:276-282. [DOI: 10.1093/intqhc/mzy153] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 05/24/2018] [Indexed: 12/18/2022] Open
Affiliation(s)
- Johan Mesterton
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
- Ivbar Institute, Stockholm, Sweden
| | - Mats Brommels
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
| | - Lars Ladfors
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Peter Lindgren
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
| | - Isis Amer-Wåhlin
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
- Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
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Geary RS, Knight HE, Carroll FE, Gurol‐Urganci I, Morris E, Cromwell DA, van der Meulen JH. A step-wise approach to developing indicators to compare the performance of maternity units using hospital administrative data. BJOG 2018; 125:857-865. [PMID: 29105913 PMCID: PMC6001534 DOI: 10.1111/1471-0528.15013] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2017] [Indexed: 11/30/2022]
Abstract
Hospital administrative data are attractive for comparing performance of maternity units because of their often large sample sizes, lack of selection bias and the relatively low costs of accessing these data compared with conducting primary data collection. However, using administrative data to develop indicators can also present challenges including varying data quality, the limited detail on clinical risk factors and a lack of structural and user experience measures. This review illustrates how to develop performance indicators for maternity units using hospital administrative data, including methods to address the challenges that administrative data pose. TWEETABLE ABSTRACT How to develop maternity indicators from administrative data.
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Affiliation(s)
- RS Geary
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
- Royal College of Obstetricians and GynaecologistsLindsay Stewart Centre for Audit and Clinical InformaticsLondonUK
| | - HE Knight
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
- Royal College of Obstetricians and GynaecologistsLindsay Stewart Centre for Audit and Clinical InformaticsLondonUK
| | - FE Carroll
- Royal College of Obstetricians and GynaecologistsLindsay Stewart Centre for Audit and Clinical InformaticsLondonUK
| | - I Gurol‐Urganci
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
- Royal College of Obstetricians and GynaecologistsLindsay Stewart Centre for Audit and Clinical InformaticsLondonUK
| | - E Morris
- Royal College of Obstetricians and GynaecologistsLindsay Stewart Centre for Audit and Clinical InformaticsLondonUK
- Norfolk and Norwich University HospitalNorwichUK
| | - DA Cromwell
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
- Royal College of Surgeons of EnglandClinical Effectiveness UnitLondonUK
| | - JH van der Meulen
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
- Royal College of Obstetricians and GynaecologistsLindsay Stewart Centre for Audit and Clinical InformaticsLondonUK
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Pasko DN, McGee P, Grobman WA, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Leveno KJ, Caritis SN, Prasad M, Saade G, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Variation in the Nulliparous, Term, Singleton, Vertex Cesarean Delivery Rate. Obstet Gynecol 2018; 131:1039-1048. [PMID: 29742665 PMCID: PMC6033063 DOI: 10.1097/aog.0000000000002636] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To estimate the contributions of patient and health care provider-hospital characteristics to the variation in the frequency of nulliparous, term, singleton, vertex cesarean delivery in a multi-institutional U.S. cohort. METHODS We performed a secondary analysis of the multicenter Assessment of Perinatal Excellence cohort of 115,502 mother and neonatal pairs who were delivered at 25 hospitals between March 2008 and February 2011. Women met inclusion criteria if they were nulliparous and delivered a singleton in vertex presentation at term. Hospital ranks for nulliparous, term, singleton, vertex cesarean delivery frequency were determined after risk adjustment. The fraction of variation in nulliparous, term, singleton, vertex cesarean delivery frequency attributable to patient and health care provider-hospital characteristics was assessed using hierarchical logistic regression. RESULTS Of the 115,502 deliveries in the initial cohort, 38,275 nulliparous, term, singleton, vertex deliveries met inclusion criteria. The median hospital nulliparous, term, singleton, vertex cesarean delivery frequency was 25.3% with a range from 15.0% to 35.2%. The majority of hospitals (16/25) changed rank quintiles after risk adjustment; overall the changes in rank were not statistically significant (P=.53). Patient characteristics accounted for 24% of the nulliparous, term, singleton, vertex cesarean delivery variation. The analyzed health care provider-hospital characteristics were not significantly associated with cesarean delivery frequency. CONCLUSION Although patient characteristics accounted for some of the variation in nulliparous, term, singleton, vertex cesarean delivery frequency and accounting for case mix had implications for hospital cesarean delivery rankings, the majority of the variation was not explained by the characteristics evaluated. These findings emphasize the importance of continued efforts to understand aspects of obstetric care, including case mix, that contribute to cesarean delivery variation.
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Affiliation(s)
- Daniel N Pasko
- Departments of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama; Northwestern University, Chicago, Illinois; MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio; Columbia University, New York, New York; the University of Utah Health Sciences Center, Salt Lake City, Utah; the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; the University of Texas Southwestern Medical Center, Dallas, Texas; the University of Pittsburgh, Pittsburgh, Pennsylvania; The Ohio State University, Columbus, Ohio; the University of Texas Medical Branch, Galveston, Texas; Wayne State University, Detroit, Michigan; Brown University, Providence, Rhode Island; the University of Texas Health Science Center at Houston, McGovern Medical School-Children's Memorial Hermann Hospital, Houston, Texas; Oregon Health & Science University, Portland, Oregon; the George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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Grobman WA, Bailit J, Sandoval G, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita ATN, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. The Association of Decision-to-Incision Time for Cesarean Delivery with Maternal and Neonatal Outcomes. Am J Perinatol 2018; 35:247-253. [PMID: 28915515 PMCID: PMC5801156 DOI: 10.1055/s-0037-1606641] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVE The objective of this study was to estimate whether the decision-to-incision (DTI) time for cesarean delivery (CD) is associated with differences in maternal and neonatal outcomes. METHODS This analysis is of data from women at 25 U.S. medical centers with a term, singleton, cephalic nonanomalous gestation and no prior CD, who underwent an intrapartum CD. Perinatal and maternal outcomes associated with DTI intervals of ≤ 15, 16 to 30, and > 30 minutes were compared. RESULTS Among 3,482 eligible women, median DTI times were 46 and 27 minutes for arrest and fetal indications for CD, respectively (p < 0.01). Women with a fetal indication whose DTI interval was > 30 minutes had similar odds to the referent group (DTI of 16-30 minutes) for the adverse neonatal and maternal composites (odds ratio [OR]: 0.83, 95% confidence interval [CI]: 0.40-1.71 and OR: 0.89, 95% CI: 0.63-1.27). For arrest disorders, the odds of the adverse neonatal composite were lower among women with a DTI of > 30 minutes (OR: 0.25, 95% CI: 0.08-0.77), and the adverse maternal composite was no different (OR: 1.15, 95% CI: 0.81-1.63). CONCLUSION In this analysis, DTI times longer than 30 minutes were not associated with worse maternal or neonatal outcomes.
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Affiliation(s)
- William A Grobman
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois
| | - Jennifer Bailit
- Department of Obstetrics and Gynecology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Grecio Sandoval
- Biostatistics Center, George Washington University, Washington, District of Columbia
| | - Uma M Reddy
- Department of Obstetrics and Gynecology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michael W Varner
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - John M Thorp
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steve N Caritis
- Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Alan T N Tita
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - George R Saade
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Yoram Sorokin
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Sean C Blackwell
- Department of Obstetrics and Gynecology, Children's Memorial Hermann Hospital, University of Texas Health Science Center at Houston, Houston, Texas
| | - Jorge E Tolosa
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon
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Galinsky R, Lear CA, Dean JM, Wassink G, Dhillon SK, Fraser M, Davidson JO, Bennet L, Gunn AJ. Complex interactions between hypoxia-ischemia and inflammation in preterm brain injury. Dev Med Child Neurol 2018; 60:126-133. [PMID: 29194585 DOI: 10.1111/dmcn.13629] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/17/2017] [Indexed: 12/12/2022]
Abstract
UNLABELLED Children surviving preterm birth have a high risk of disability, particularly cognitive and learning problems. There is extensive clinical and experimental evidence that disability is now primarily related to dysmaturation of white and gray matter, defined by failure of oligodendrocyte maturation and neuronal dendritic arborization, rather than cell death alone. The etiology of this dysmaturation is multifactorial, with contributions from hypoxia-ischemia, infection/inflammation and barotrauma. Intriguingly, these factors can interact to both increase and decrease damage. In this review we summarize preclinical and clinical evidence that all of these factors trigger secondary or chronic inflammation and gliosis. Thus, we hypothesize that these shared pathological features play a key role in a final common pathway that leads to the impaired neural maturation and connectivity and cognitive/motor impairments that are commonly observed in infants born preterm. This raises the possibility that secondary or chronic inflammation may be a viable therapeutic target for delayed interventions to improve neurodevelopmental outcomes after preterm birth. WHAT THIS PAPER ADDS Hypoxia-ischemia, infection/inflammation, and barotrauma/volutrauma all contribute to preterm brain injury. Multiple different triggers of preterm brain injury are associated with central nervous system dysmaturation. Secondary brain inflammation may be a viable target to improve neurodevelopment after preterm birth.
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Affiliation(s)
- Robert Galinsky
- The Department of Physiology, University of Auckland, Auckland, New Zealand.,The Ritchie Centre, Hudson Institute of Medical Research, Clayton, Victoria, Australia
| | - Christopher A Lear
- The Department of Physiology, University of Auckland, Auckland, New Zealand
| | - Justin M Dean
- The Department of Physiology, University of Auckland, Auckland, New Zealand
| | - Guido Wassink
- The Department of Physiology, University of Auckland, Auckland, New Zealand
| | | | - Mhoyra Fraser
- The Department of Physiology, University of Auckland, Auckland, New Zealand
| | - Joanne O Davidson
- The Department of Physiology, University of Auckland, Auckland, New Zealand
| | - Laura Bennet
- The Department of Physiology, University of Auckland, Auckland, New Zealand
| | - Alistair J Gunn
- The Department of Physiology, University of Auckland, Auckland, New Zealand
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