Impact of Dementia on Incidence and Severity of Postoperative Pulmonary Complications Following Hip Fracture Surgery Among Older Patients.
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2023-11
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Postoperative pulmonary complications (PPCs) are the leading cause of death following hip fracture surgery. Dementia has been identified as a PPC risk factor that complicates the clinical course. By leveraging electronic health records, this retrospective observational study evaluated the impact of dementia on the incidence and severity of PPCs, hospital length of stay, and postoperative 30-day mortality among 875 older patients (≥65 years) who underwent hip fracture surgery between October 1, 2015 and December 31, 2018 at a health system in the southeastern United States. Inverse probability of treatment weighting using propensity scores was utilized to balance confounders between patients with and without dementia to isolate the impact of dementia on PPCs. Regression analyses revealed that dementia did not have a statistically significant impact on the incidence and severity of PPCs or postoperative 30-day mortality. However, dementia significantly extended the hospital length of stay by an average of 1.37 days.
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Tsumura, Hideyo, Eleanor S McConnell, Tingzhong Michelle Xue, Sijia Wei, Chiyoung Lee and Wei Pan (2023). Impact of Dementia on Incidence and Severity of Postoperative Pulmonary Complications Following Hip Fracture Surgery Among Older Patients. Clinical nursing research, 32(8). pp. 1145–1156. 10.1177/10547738231194098 Retrieved from https://hdl.handle.net/10161/31306.
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Hideyo Tsumura
Dr. Hideyo Tsumura is an Assistant Professor at Duke University School of Nursing and a practicing certified registered nurse anesthetist. She completed her nurse anesthesia education at the University of Tennessee Health and Science Center in 2011. In 2022, she earned her Ph.D. from Duke University and received postdoctoral training at the University of Michigan through the National Clinician Scholars Program. Her research focuses on disparities in anesthesia care and improving patient outcomes.
Wei Pan
Dr. Wei Pan is a Professor and Director of Health Statistics and Data Science at the Duke University School of Nursing. He also has a secondary appointment with the Department of Population Health Sciences at the Duke University School of Medicine. He received his Ph.D. in Measurement & Quantitative Methods from Michigan State University and M.S. in Statistics from Fuzhou University, China. His research interests are causal inference, advanced statistical modeling, data analytics, meta-analysis, and psychometrics; and their applications in the social, behavioral, and health sciences. He has been involved as a Principal Investigator, Co-Investigator, and Principal Biostatistician in many research projects funded by federal agencies, such as NIH, NSF, and the like. He has published numerous refereed journal articles on both methodological and applied research. He was awarded the Outstanding Ph.D. Faculty Award by the Duke University School of Nursing. He was an Invited Expert Observer in the Reference Group on Health Statistics of the World Health Organization. He is a Science Board Member of the American Public Health Association.
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