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231 results on '"Bao, Haikun"'

14. Pre-Eclampsia, Birth Weight, and Autism Spectrum Disorders

Author

Mann, Joshua R., McDermott, Suzanne, Bao, Haikun, Hardin, James, and Gregg, Anthony

Abstract

Autism spectrum disorders (ASD) are primarily inherited, but perinatal or other environmental factors may also be important. In an analysis of 87,677 births from 1996 through 2002, insured by the South Carolina Medicaid program, birth weight was significantly inversely associated with the odds of ASD (OR = 0.78, p = 0.001 for each additional kilogram). Maternal pre-eclampsia/eclampsia was significantly associated with greater odds of ASD (OR = 1.85, p less than 0.0001 without controlling for birth weight; OR = 1.69, p = 0.0005, when controlling for birth weight). We conclude that reduced birth weight partially mediates the association between pre-eclampsia/eclampsia and ASD. Additional research is needed to investigate the potential mechanism(s) by which pre-eclampsia/eclampsia may influence ASD risk.

Published
2010
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20. Administrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery

Author

Mori, Makoto, primary, Nasir, Khurram, additional, Bao, Haikun, additional, Jimenez, Andreina, additional, Legore, Shani S., additional, Wang, Yongfei, additional, Grady, Jacqueline, additional, Lama, Sonam D, additional, Brandi, Nina, additional, Lin, Zhenqiu, additional, Kurlansky, Paul, additional, Geirsson, Arnar, additional, Bernheim, Susannah M, additional, Krumholz, Harlan M, additional, and Suter, Lisa G., additional

Published
2021
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21. An instrument for assessing the quality of informed consent documents for elective procedures: development and testing

Author

Spatz, Erica S, primary, Suter, Lisa G, additional, George, Elizabeth, additional, Perez, Mallory, additional, Curry, Leslie, additional, Desai, Vrunda, additional, Bao, Haikun, additional, Geary, Lori L, additional, Herrin, Jeph, additional, Lin, Zhenqiu, additional, Bernheim, Susannah M, additional, and Krumholz, Harlan M, additional

Published
2020
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29. Outcomes and costs of remote patient monitoring among patients with implanted cardiac defibrillators: An economic model based on the PREDICT RM database

Author

Hummel, James P., primary, Leipold, Robert J., additional, Amorosi, Stacey L., additional, Bao, Haikun, additional, Deger, Kristen A., additional, Jones, Paul W., additional, Kansal, Anuraag R., additional, Ott, Lesli S., additional, Stern, Sean, additional, Stein, Kenneth, additional, Curtis, Jeptha P., additional, and Akar, Joseph G., additional

Published
2019
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31. USE AND OUTCOMES OF DUAL CHAMBER AND CARDIAC RESYNCHRONIZATION THERAPY DEFIBRILLATORS AMONG OLDER PATIENTS UNDERGOING ICD IMPLANTATION WITH A VENTRICULAR PACING INDICATION: AN ANALYSIS OF THE NATIONAL CARDIOVASCULAR DATA ICD REGISTRY

Author

Borne, Ryan T., primary, Bao, Haikun, additional, Curtis, Jeptha, additional, Masoudi, Frederick, additional, Zipse, Matthew, additional, Sandhu, Amneet, additional, Hsu, Jonathan, additional, and Peterson, Pamela, additional

Published
2019
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33. Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates

Author

Benchetrit, Liliya, primary, Zimmerman, Chloe, additional, Bao, Haikun, additional, Dharmarajan, Kumar, additional, Altaf, Faseeha, additional, Herrin, Jeph, additional, Lin, Zhenqiu, additional, Krumholz, Harlan M., additional, Drye, Elizabeth E., additional, Lipska, Kasia J., additional, and Spatz, Erica S., additional

Published
2019
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34. Administrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery.

Author

Makoto Mori, Nasir, Khurram, Haikun Bao, Jimenez, Andreina, Legore, Shani S., Yongfei Wang, Grady, Jacqueline, Lama, Sonam D., Brandi, Nina, Zhenqiu Lin, Kurlansky, Paul, Geirsson, Arnar, Bernheim, Susannah M., Krumholz, Harlan M., Suter, Lisa G., Mori, Makoto, Bao, Haikun, Wang, Yongfei, and Lin, Zhenqiu

Subjects
HOSPITALS, RESEARCH, CORONARY artery bypass, RESEARCH methodology, PATIENT readmissions, MEDICAL cooperation, EVALUATION research, HOSPITAL mortality, COMPARATIVE studies, MEDICARE
Abstract

Background: Coronary artery bypass graft (CABG) surgery is a focus of bundled and alternate payment models that capture outcomes up to 90 days postsurgery. While clinical registry risk models perform well, measures encompassing mortality beyond 30 days do not currently exist. We aimed to develop a risk-adjusted hospital-level 90-day all-cause mortality measure intended for assessing hospital performance in payment models of CABG surgery using administrative data.Methods: Building upon Centers for Medicare and Medicaid Services hospital-level 30-day all-cause CABG mortality measure specifications, we extended the mortality timeframe to 90 days after surgery and developed a new hierarchical logistic regression model to calculate hospital risk-standardized 90-day all-cause mortality rates for patients hospitalized for isolated CABG. The model was derived from Medicare claims data for a 3-year cohort between July 2014 to June 2017. The data set was randomly split into 50:50 development and validation samples. The model performance was evaluated with C statistics, overfitting indices, and calibration plot. The empirical validity of the measure result at the hospital level was evaluated against the Society of Thoracic Surgeons composite star rating.Results: Among 137 819 CABG procedures performed in 1183 hospitals, the unadjusted mortality rate within 30 and 90 days were 3.1% and 4.7%, respectively. The final model included 27 variables. Hospital-level 90-day risk-standardized mortality rates ranged between 2.04% and 11.26%, with a median of 4.67%. C statistics in the development and validation samples were 0.766 and 0.772, respectively. We identified a strong positive correlation between 30- and 90-day risk-standardized mortality rates, with a regression slope of 1.09. Risk-standardized mortality rates also showed a stepwise trend of lower 90-day mortality with higher Society of Thoracic Surgeons composite star ratings.Conclusions: We present a measure of hospital-level 90-day risk-standardized mortality rates following isolated CABG. This measure complements Centers for Medicare and Medicaid Services' existing 30-day CABG mortality measure by providing greater insight into the postacute recovery period. It offers a balancing measure to ensure efforts to reduce costs associated with CABG recovery and rehabilitation do not result in unintended consequences. [ABSTRACT FROM AUTHOR]

Published
2021
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35. Home Health Care After Skilled Nursing Facility Discharge Following Heart Failure Hospitalization.

Author

Weerahandi, Himali, Bao, Haikun, Herrin, Jeph, Dharmarajan, Kumar, Ross, Joseph S., Jones, Simon, and Horwitz, Leora I.

Subjects
*HOME health care use, *HOSPITAL admission & discharge, *HEART failure patients, *NURSING home patients, *PATIENT readmissions, *MEDICARE beneficiaries, *FEE for service (Medical fees), *NURSING care facilities, *HEART failure, *HOME care services, *HOSPITAL care, *LONGITUDINAL method, *HEALTH outcome assessment, *DISCHARGE planning, *PROPORTIONAL hazards models, *RETROSPECTIVE studies, *DESCRIPTIVE statistics
Abstract

BACKGROUND/OBJECTIVE: Heart failure (HF) readmission rates have plateaued despite scrutiny of hospital discharge practices. Many HF patients are discharged to skilled nursing facility (SNF) after hospitalization before returning home. Home healthcare (HHC) services received during the additional transition from SNF to home may affect readmission risk. Here, we examined whether receipt of HHC affects readmission risk during the transition from SNF to home following HF hospitalization. DESIGN: Retrospective cohort study. SETTING: Fee‐for‐service Medicare data, 2012 to 2015. PARTICIPANTS: Beneficiaries, aged 65 years and older, hospitalized with HF who were subsequently discharged to SNF and then discharged home. MEASUREMENTS: The primary outcome was unplanned readmission within 30 days of discharge to home from SNF. We compared time to readmission between those with and without HHC services using a Cox model. RESULTS: Of 67 585 HF hospitalizations discharged to SNFs and subsequently discharged home, 13 257 (19.6%) were discharged with HHC, and 54 328 (80.4%) were discharged without HHC. Patients discharged home from SNFs with HHC had lower 30‐day readmission rates than patients discharged without HHC (22.8% vs 24.5%; P <.0001) and a longer time to readmission. In an adjusted model, the hazard for readmission was 0.91 (0.86‐0.95) with receipt of HHC. CONCLUSIONS: Recipients of HHC were less likely to be readmitted within 30 days vs those discharged home without HHC. This is unexpected, as patients discharged with HHC likely have more functional impairments. Since patients requiring a SNF stay after hospital discharge may have additional needs, they may particularly benefit from restorative therapy through HHC; however, only approximately 20% received such services. J Am Geriatr Soc 68:96–102, 2019 [ABSTRACT FROM AUTHOR]

Published
2020
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40. ADMISSION TYPES AMONG PATIENTS WITH HEART FAILURE CARED FOR BY ACCOUNTABLE CARE ORGANIZATIONS: VARIATION BY PERFORMANCE ON A MEASURE OF RISK STANDARDIZED ACUTE ADMISSION RATES

Author

Benchetrit, Liliya, primary, Zimmerman, Chloe O., additional, Bao, Haikun, additional, Dharmarajan, Kumar, additional, Atlaf, Faseeha, additional, Herrin, Jeph, additional, Lin, Zhenqiu, additional, Krumholz, Harlan, additional, Drye, Elizabeth, additional, Lipska, Kasia, additional, and Spatz, Erica, additional

Published
2017
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46. Developing a risk model for in-hospital adverse events following implantable cardioverter-defibrillator implantation: a report from the NCDR (National Cardiovascular Data Registry)

Author

Dodson, John A., Reynolds, Matthew R., Bao, Haikun, Al-Khatib, Sana M., Peterson, Eric D., Kremers, Mark S., Mirro, Michael J., and Curtis, Jeptha P.

Subjects
Aged, 80 and over, Male, Research Report, Databases, Factual, Middle Aged, Risk Assessment, Article, United States, Defibrillators, Implantable, Hospitalization, Cardiovascular Diseases, Risk Factors, Humans, Female, Registries, Aged
Abstract

To better inform patients and physicians of the expected risk of adverse events and to assist hospitals' efforts to improve the outcomes of patients undergoing implantable cardioverter-defibrillator (ICD) implantation, we developed and validated a risk model using data from the NCDR (National Cardiovascular Data Registry) ICD Registry.ICD prolong life in selected patients, but ICD implantation carries the risk of periprocedural complications.We analyzed data from 240,632 ICD implantation procedures between April 1, 2010, and December 31, 2011 in the registry. The study group was divided into a derivation (70%) and a validation (30%) cohort. Multivariable logistic regression was used to identify factors associated with in-hospital adverse events (complications or mortality). A parsimonious risk score was developed on the basis of beta estimates derived from the logistic model. Hierarchical models were then used to calculate risk-standardized complication rates to account for differences in case mix and procedural volume.Overall, 4,388 patients (1.8%) experienced at least 1 in-hospital complication or death. Thirteen factors were independently associated with an increased risk of adverse outcomes. Model performance was similar in the derivation and validation cohorts (C-statistics = 0.724 and 0.719, respectively). The risk score characterized patients into low- and-high risk subgroups for adverse events (≤10 points, 0.3%; ≥30 points, 4.2%). The risk-standardized complication rates varied significantly across hospitals (median: 1.77, interquartile range 1.54, 2.14, 5th/95th percentiles: 1.16/3.15).We developed a simple model that predicts risk for in-hospital adverse events among patients undergoing ICD placement. This can be used for shared decision making and to benchmark hospital performance.

Published
2013

48. Cardiac Resynchronization Therapy in Women Versus Men

Author

Zusterzeel, Robbert, primary, Spatz, Erica S., additional, Curtis, Jeptha P., additional, Sanders, William E., additional, Selzman, Kimberly A., additional, Piña, Ileana L., additional, Bao, Haikun, additional, Ponirakis, Angelo, additional, Varosy, Paul D., additional, Masoudi, Frederick A., additional, Caños, Daniel A., additional, and Strauss, David G., additional

Published
2015
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