5 results on '"Sindhu K. Srinivas"'
Search Results
2. Health Resource Utilization of Labor Induction Versus Expectant Management
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William A. Grobman, Grecio Sandoval, Uma M. Reddy, Alan T.N. Tita, Robert M. Silver, Gail Mallett, Kim Hill, Madeline Murguia Rice, Yasser Y. El-Sayed, Ronald J. Wapner, Dwight J. Rouse, George R. Saade, John M. Thorp, Suneet P. Chauhan, Jay D. Iams, Edward K. Chien, Brian M. Casey, Ronald S. Gibbs, Sindhu K. Srinivas, Geeta K. Swamy, Hyagriv N. Simhan, George A. Macones, A. Peaceman, B. Plunkett, K. Paycheck, M. Dinsmoor, S. Harris, J. Sheppard, J. Biggio, L. Harper, S. Longo, C. Servay, M. Varner, A. Sowles, K. Coleman, D. Atkinson, J. Stratford, S. Dellermann, C. Meadows, S. Esplin, C. Martin, K. Peterson, S. Stradling, C. Willson, D. Lyell, A. Girsen, R. Knapp, C. Gyamfi, S. Bousleiman, A. Perez-Delboy, M. Talucci, V. Carmona, L. Plante, C. Tocci, B. Leopanto, M. Hoffman, L. Dill-Grant, K. Palomares, S. Otarola, D. Skupski, R. Chan, D. Allard, T. Gelsomino, J. Rousseau, L. Beati, J. Milano, E. Werner, A. Salazar, M. Costantine, G. Chiossi, L. Pacheco, A. Saad, M. Munn, S. Jain, S. Clark, K. Clark, K. Boggess, S. Timlin, K. Eichelberger, A. Moore, C. Beamon, H. Byers, F. Ortiz, L. Garcia, B. Sibai, A. Bartholomew, C. Buhimschi, M. Landon, F. Johnson, L. Webb, D. McKenna, K. Fennig, K. Snow, M. Habli, M. McClellan, C. Lindeman, W. Dalton, D. Hackney, H. Cozart, A. Mayle, B. Mercer, L. Moseley, J. Gerald, L. Fay-Randall, M. Garcia, A. Sias, J. Price, K. Hale, J. Phipers, K. Heyborne, J. Craig, S. Parry, H. Sehdev, T. Bishop, J. Ferrara, M. Bickus, S. Caritis, E. Thom, L. Doherty, and J. de Voest
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Adult ,medicine.medical_specialty ,Randomization ,medicine.medical_treatment ,Ambulatory Visit ,Gestational Age ,Prenatal care ,Patient Readmission ,Article ,Ultrasonography, Prenatal ,law.invention ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Randomized controlled trial ,Nursing ,Pregnancy ,law ,Health care ,Ambulatory Care ,Peripartum Period ,Humans ,Medicine ,Labor, Induced ,030212 general & internal medicine ,Watchful Waiting ,Expectant management ,Hematologic Tests ,030219 obstetrics & reproductive medicine ,Obstetrics ,business.industry ,Infant, Newborn ,Obstetrics and Gynecology ,Prenatal Care ,Health resource ,Length of Stay ,Induction of labor ,Anti-Bacterial Agents ,Labor induction ,Fluid Therapy ,Health Resources ,Female ,business - Abstract
BACKGROUND: Although induction of labor (IOL) of low-risk nulliparous women at 39 weeks reduces the risk of cesarean delivery compared with expectant management, concern regarding more frequent use of labor induction remains given that this intervention historically has been thought to incur greater resource utilization. OBJECTIVE: To determine whether planned elective labor induction at 39 weeks among low-risk nulliparous women, compared with expectant management, was associated with differences in health care resource utilization from the time of randomization through 8 weeks postpartum. STUDY DESIGN: This is a planned secondary analysis of a multi-center randomized trial in which low-risk nulliparous women were assigned to IOL at 39 weeks or expectant management. We assessed resource utilization post-randomization in three time periods: antepartum (AP), delivery admission, and discharge through 8 weeks postpartum (PP). RESULTS: Of 6096 women with data available, those in the IOL group (n = 3059) were significantly less likely in the AP period after randomization to have at least one ambulatory visit for routine prenatal care (32.4% vs. 68.4%), unanticipated care (0.5% vs. 2.6%), or urgent care (16.2% vs. 44.3%), or at least one antepartum hospitalization (0.8% vs. 2.2%, p0.05 for all). CONCLUSIONS: Women randomized to IOL had longer durations in labor and delivery, but significantly fewer AP visits, tests, and treatments, and shorter maternal and neonatal hospital durations post-delivery. These results demonstrate that the health outcome advantages associated with IOL are gained without incurring uniformly greater health care resource use. TRIAL REGISTRATION: ClinicalTrials.gov number NCT01990612
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- 2021
3. Effect of Immediate Versus Delayed Pushing on Rates of Spontaneous Vaginal Delivery Among Nulliparous Women Receiving Neuraxial Analgesia: A Randomized Clinical Trial
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A.M. Mathur, Alison G. Cahill, W.T. Gregory, D.L. Weinstein, Jingxia Liu, Alan T.N. Tita, Aaron B. Caughey, George A. Macones, Methodius G. Tuuli, Sindhu K. Srinivas, H.E. Richter, and Candice Woolfolk
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Spontaneous vaginal delivery ,medicine.medical_specialty ,Randomized controlled trial ,law ,Obstetrics ,business.industry ,medicine ,business ,law.invention - Published
- 2019
4. A Validated Calculator to Estimate Risk of Cesarean After an Induction of Labor With an Unfavorable Cervix
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Samuel Parry, Katheryne Downes, Sindhu K. Srinivas, Mary D. Sammel, Lisa D. Levine, and Michal A. Elovitz
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Adult ,medicine.medical_specialty ,Bishop score ,Cervix Uteri ,Logistic regression ,Risk Assessment ,Decision Support Techniques ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Randomized controlled trial ,Pregnancy ,law ,Humans ,Medicine ,030212 general & internal medicine ,Labor, Induced ,Cervix ,030219 obstetrics & reproductive medicine ,Cesarean Section ,business.industry ,Obstetrics ,Obstetrics and Gynecology ,Nomogram ,Confidence interval ,Nomograms ,Logistic Models ,medicine.anatomical_structure ,Cohort ,Inclusion and exclusion criteria ,Female ,Labor Stage, First ,business - Abstract
Background Induction of labor occurs in >20% of pregnancies, which equates to approximately 1 million women undergoing an induction in the United States annually. Regardless of how common inductions are, our ability to predict induction success is limited. Although multiple risk factors for a failed induction have been identified, risk factors alone are not enough to quantify an actual risk of cesarean for an individual woman undergoing a cesarean. Objective The objective of this study was to derive and validate a prediction model for cesarean after induction with an unfavorable cervix and to create a Web-based calculator to assist in patient counseling. Study Design Derivation and validation of a prediction model for cesarean delivery after induction was performed as part of a planned secondary analysis of a large randomized trial. A predictive model for cesarean delivery was derived using multivariable logistic regression from a large randomized trial on induction methods (n = 491) that took place from 2013 through 2015 at an academic institution. Full-term (≥37 weeks) women carrying a singleton gestation with intact membranes and an unfavorable cervix (Bishop score ≤6 and dilation ≤2 cm) undergoing an induction were included in this trial. Both nulliparous and multiparous women were included. Women with a prior cesarean were excluded. Refinement of the prediction model was performed using an observational cohort of women from the same institution who underwent an induction (n = 364) during the trial period. An external validation was performed utilizing a publicly available database (Consortium for Safe Labor) that includes information for >200,000 deliveries from 19 hospitals across the United States from 2002 through 2008. After applying the same inclusion and exclusion criteria utilized in the derivation cohort, a total of 8466 women remained for analysis. The discriminative power of each model was assessed using a bootstrap, bias-corrected area under the curve. Results The cesarean delivery rates in the derivation and external validation groups were: 27.7% (n = 136/491) and 26.4% (n = 2235/8466). In multivariable modeling, nulliparity, gestation age ≥40 weeks, body mass index at delivery, modified Bishop score, and height were significantly associated with cesarean. A nomogram and calculator were created and found to have an area under the curve in the external validation cohort of 0.73 (95% confidence interval, 0.72–0.74). Conclusion A nomogram and user-friendly Web-based calculator that incorporates 5 variables known at the start of induction has been developed and validated. It can be found at: http://www.uphs.upenn.edu/obgyn/labor-induction-calculator/ . This calculator can be used to augment patient counseling for women undergoing an induction with an unfavorable cervix.
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- 2018
5. Association Between Physicians’ Experience After Training and Maternal Obstetrical Outcomes
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Sean Nicholson, Jeph Herrin, David A. Asch, Sindhu K. Srinivas, and Andrew J. Epstein
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education.field_of_study ,medicine.medical_specialty ,business.industry ,Population ,Outcome measures ,Retrospective cohort study ,Confidence interval ,Acute care ,Emergency medicine ,medicine ,education ,business ,Maternal complication ,Cohort study - Abstract
Objective To assess the association between obstetricians’ years of experience after training and the maternal complications of their patients during their first 40 years of post-residency practice. Design Retrospective cohort analysis. Setting Obstetrical discharges from acute care hospitals in Florida and New York between academic years 1992 and 2009. Population 6 704 311 deliveries performed by 5175 obstetricians. Main outcome measure Three composite measures of maternal complication rates per physician year from vaginal and cesarean births separately and combined, adjusted for secular trends. Results Obstetricians’ maternal complication rates declined during the first three decades after completion of residency. The improvement was largest in the first decade and diminished thereafter. For all deliveries, the change was −0.21 (95% confidence interval −0.23 to −0.19) percentage points per year in the first decade, −0.11 (−0.13 to −0.09) percentage points per year in the second decade, and −0.05 (−0.08 to −0.01) percentage points in the third decade (P Conclusions Among obstetricians practicing in Florida and New York, those with more years of experience had fewer maternal complications. This association persisted over the first three decades of practice but diminished in magnitude.
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- 2014
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