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Kumar N, Akosman I, Mortenson R, Xu G, Kumar A, Mostafa E, Rivlin J, De La Garza Ramos R, Krystal J, Eleswarapu A, Yassari R, Fourman MS. Disparities in postoperative complications and perioperative events based on insurance status following elective spine surgery: A systematic review and meta-analysis. NORTH AMERICAN SPINE SOCIETY JOURNAL 2024; 17:100315. [PMID: 38533185 PMCID: PMC10964016 DOI: 10.1016/j.xnsj.2024.100315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 01/13/2024] [Accepted: 02/12/2024] [Indexed: 03/28/2024]
Abstract
Background Increasing evidence demonstrates disparities among patients with differing insurance statuses in the field of spine surgery. However, no pooled analyses have performed a robust review characterizing differences in postoperative outcomes among patients with varying insurance types. Methods A comprehensive literature search of the PUBMED, MEDLINE(R), ERIC, and EMBASE was performed for studies comparing postoperative outcomes in patients with private insurance versus government insurance. Pooled incidence rates and odds ratios were calculated for each outcome and meta-analyses were conducted for 3 perioperative events and 2 types of complications. In addition to pooled analysis, sub-analyses were performed for each outcome in specific government payer statuses. Results Thirty-eight studies (5,018,165 total patients) were included. Compared with patients with private insurance, patients with government insurance experienced greater risk of 90-day re-admission (OR 1.84, p<.0001), non-routine discharge (OR 4.40, p<.0001), extended LOS (OR 1.82, p<.0001), any postoperative complication (OR 1.61, p<.0001), and any medical complication (OR 1.93, p<.0001). These differences persisted across outcomes in sub-analyses comparing Medicare or Medicaid to private insurance. Similarly, across all examined outcomes, Medicare patients had a higher risk of experiencing an adverse event compared with non-Medicare patients. Compared with Medicaid patients, Medicare patients were only more likely to experience non-routine discharge (OR 2.68, p=.0007). Conclusions Patients with government insurance experience greater likelihood of morbidity across several perioperative outcomes. Additionally, Medicare patients fare worse than non-Medicare patients across outcomes, potentially due to age-based discrimination. Based on these results, it is clear that directed measures should be taken to ensure that underinsured patients receive equal access to resources and quality care.
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Affiliation(s)
- Neerav Kumar
- Weill Cornell School of Medicine, New York, NY,
USA
| | | | | | - Grace Xu
- Princeton University, Princeton, NJ, USA
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Wieslander CK, Grimes CL, Balk EM, Hobson DTG, Ringel NE, Sanses TVD, Singh R, Richardson ML, Lipetskaia L, Gupta A, White AB, Orejuela F, Meriwether K, Antosh DD. Health Care Disparities in Patients Undergoing Hysterectomy for Benign Indications: A Systematic Review. Obstet Gynecol 2023; 142:1044-1054. [PMID: 37826848 DOI: 10.1097/aog.0000000000005389] [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: 01/23/2023] [Accepted: 03/30/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVE To explore how markers of health care disparity are associated with access to care and outcomes among patients seeking and undergoing hysterectomy for benign indications. DATA SOURCES PubMed, EMBASE, and ClinicalTrials.gov were searched through January 23, 2022. METHODS OF STUDY SELECTION The population of interest included patients in the United States who sought or underwent hysterectomy by any approach for benign indications. Health care disparity markers included race, ethnicity, geographic location, insurance status, and others. Outcomes included access to surgery, patient level outcomes, and surgical outcomes. Eligible studies reported multivariable regression analyses that described the independent association between at least one health care disparity risk marker and an outcome. We evaluated direction and strengths of association within studies and consistency across studies. TABULATION, INTEGRATION, AND RESULTS Of 6,499 abstracts screened, 39 studies with a total of 46 multivariable analyses were included. Having a Black racial identity was consistently associated with decreased access to minimally invasive, laparoscopic, robotic, and vaginal hysterectomy. Being of Hispanic ethnicity and having Asian or Pacific Islander racial identities were associated with decreased access to laparoscopic and vaginal hysterectomy. Black patients were the only racial or ethnic group with an increased association with hysterectomy complications. Medicare insurance was associated with decreased access to laparoscopic hysterectomy, and both Medicaid and Medicare insurance were associated with increased likelihood of hysterectomy complications. Living in the South or Midwest or having less than a college degree education was associated with likelihood of prior hysterectomy. CONCLUSION Studies suggest that various health care disparity markers are associated with poorer access to less invasive hysterectomy procedures and with poorer outcomes for patients who are undergoing hysterectomy for benign indications. Further research is needed to understand and identify the causes of these disparities, and immediate changes to our health care system are needed to improve access and opportunities for patients facing health care disparities. SYSTEMATIC REVIEW REGISTRATION PROSPERO, CRD42021234511.
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Affiliation(s)
- Cecilia K Wieslander
- Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, California; the Division of Urogynecology & Reconstructive Pelvic Surgery, Departments of Obstetrics and Gynecology and Urology, New York Medical College, Valhalla, New York; the Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island; the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics & Gynecology, Wayne State University School of Medicine, Detroit, Michigan; the Division of Urogynecology & Reconstructive Pelvic Surgery, Department of Obstetrics and Gynecology, Yale School of Medicine, New Haven, Connecticut; the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics & Gynecology, Howard University College of Medicine, Washington, DC; the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics & Gynecology, University of Florida Health, Jacksonville, Florida; Occom Health, Newton, Massachusetts; the Division of Urogynecology & Reconstructive Pelvic Surgery, Cooper Health University, Cooper Medical School at Rowan University, Camden, New Jersey; the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics & Gynecology, University of Louisville Health, Louisville, Kentucky; the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics & Gynecology, University of Texas at Austin Dell Medical School, Austin, and the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics & Gynecology, Baylor College of Medicine, the Division of Urogynecology, Department of Obstetrics & Gynecology, Houston Methodist Hospital, Houston, Texas; and the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics & Gynecology, University of New Mexico, Albuquerque, New Mexico
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Howard R, Hendren S, Patel M, Gunaseelan V, Wixson M, Waljee J, Englesbe M, Bicket MC. Racial and Ethnic Differences in Elective Versus Emergency Surgery for Colorectal Cancer. Ann Surg 2023; 278:e51-e57. [PMID: 35950753 PMCID: PMC11062257 DOI: 10.1097/sla.0000000000005667] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVE To evaluate differences in presentation and outcomes of surgery for colorectal cancer. BACKGROUND Although racial and socioeconomic disparities in colorectal cancer outcomes are well documented, disparities in access affecting disease presentation are less clear. METHODS We conducted a statewide retrospective study of patients who underwent resection for colorectal cancer between January 1, 2015, and April 30, 2021. The primary outcome was undergoing emergency surgery. Secondary outcomes included preoperative evaluation and postoperative outcomes. Covariates of interest included race/ethnicity, social deprivation index, and insurance type. RESULTS A total of 4869 patients underwent surgery for colorectal cancer, of whom 1122 (23.0%) underwent emergency surgery. Overall, 28.1% of Black non-Hispanic patients and 22.5% of White non-Hispanic patients underwent emergency surgery. On multivariable logistic regression, Black non-Hispanic race was independently associated with a 5.8 (95% CI, 0.3-11.3) percentage point increased risk of emergency surgery compared with White non-Hispanic race. Patients who underwent emergency surgery were significantly less likely to have preoperative carcinoembryonic antigen measurement, staging for rectal cancer, and wound/ostomy consultation. Patients who underwent emergency surgery had a higher incidence of 30-day mortality (5.5% vs 1.0%, P <0.001), positive surgical margins (11.1% vs 4.9%, P <0.001), complications (29.2% vs 16.0%, P <0.001), readmissions (12.5% vs 9.6%, P =0.005), and reoperations (12.2% vs 8.2%, P <0.001). CONCLUSIONS Among patients with colorectal cancer, Black non-Hispanic patients were more likely to undergo emergency surgery than White non-Hispanic patients, suggesting they may face barriers to timely screening and evaluation. Undergoing emergency surgery was associated with incomplete oncologic evaluation, increased incidence of postoperative complications including mortality, and increased surgical margin positivity. These results suggest that racial and ethnic differences in the diagnosis and treatment of colorectal cancer impact near-term and long-term outcomes.
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Affiliation(s)
- Ryan Howard
- Department of Surgery, Michigan Medicine, Ann Arbor, MI
| | - Samantha Hendren
- Department of Surgery, Michigan Medicine, Ann Arbor, MI
- Michigan Surgical Quality Collaborative, Ann Arbor, MI
| | - Minal Patel
- School of Public Health, University of Michigan, Ann Arbor, MI
| | | | - Matthew Wixson
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI
| | | | - Michael Englesbe
- Department of Surgery, Michigan Medicine, Ann Arbor, MI
- Michigan Surgical Quality Collaborative, Ann Arbor, MI
| | - Mark C Bicket
- School of Public Health, University of Michigan, Ann Arbor, MI
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI
- Opioid Prescriging Engagement Network, Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, MI
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Lussiez A, Eton R, Anderson M, Valbuena V, Campbell D, Englesbe M, Howard R. Heterogeneity in Surgical Quality Improvement in Michigan. Ann Surg 2023; 277:612-618. [PMID: 35129495 DOI: 10.1097/sla.0000000000005282] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to evaluate changes in 30-day postoperative outcomes and individual hospital variation in outcomes from 2012 to 2019 in a collaborative quality improvement network. SUMMARY BACKGROUND DATA Collaborative quality improvement efforts have been shown to improve postoperative outcomes overall; however, heterogeneity in improvement between participating hospitals remains unclear. Understanding the distribution of individual hospital-level changes is necessary to inform resource allocation and policy design. METHODS We performed a retrospective cohort study of 51 hospitals in the Michigan Surgical Quality Collaborative (MSQC) from 2012 to 2019. Risk-and reliability-adjusted hospital rates of 30-day mortality, complications, serious complications, emergency department (ED) visits, readmissions, and reoperations were calculated for each year and compared between the last 2 years and the first 2 years of the study period. RESULTS There was a significant decrease in the rates of all 5 adverse outcomes across MSQC hospitals from 2012 to 2019. Of the 51 individual hospitals, 31 (61%) hospitals achieved a decrease in mortality (range -1.3 percentage points to +0.6 percentage points), 40 (78%) achieved a decrease in complications (range -8.5 percentage points to +2.9 percentage points), 26 (51%) achieved a decrease in serious complications (range -3.2 percentage points to +3.0 percentage points), 29 (57%) achieved a decrease in ED visits (range 5.0 percentage points to +2.2 percentage points), 46 (90%) achieved a decrease in readmissions (range -3.1 percentage points to +0.4 percentage points) and 39 (76%) achieved a decrease in reoperations (range 3.3 percentage points to +1.0 percentage points). CONCLUSIONS Despite overall improvement in surgical outcomes across hospitals participating in a quality improvement collaborative, there was substantial variation in improvement between hospitals, highlighting opportunities to better understand hospital-level barriers and facilitators to surgical quality improvement.
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Affiliation(s)
- Alisha Lussiez
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI
| | - Ryan Eton
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI
| | - Maia Anderson
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI
| | - Valeria Valbuena
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI
- National Clinician Scholars Program, University of Michigan, Ann Arbor, MI
| | - Darrell Campbell
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Michigan Surgical Quality Collaborative, Ann Arbor, MI
| | - Michael Englesbe
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Michigan Surgical Quality Collaborative, Ann Arbor, MI
| | - Ryan Howard
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI
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Ellsworth BL, Sinco B, Matusko N, Pitt SC, Hughes DT, Gauger PG, Englesbe M, Underwood HJ. Examining National Guideline Changes Association With Hemithyroidectomy Rates by Surgeon Volume. J Surg Res 2023; 283:858-866. [PMID: 36915013 DOI: 10.1016/j.jss.2022.11.037] [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: 06/14/2022] [Revised: 10/26/2022] [Accepted: 11/11/2022] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The 2015 American Thyroid Association (ATA) guidelines established that hemithyroidectomy (HT) is an appropriate treatment for patients with low-risk thyroid cancer. HT rates increased since the ATA guidelines were released; however, the relationship between surgeon volume and the initial extent of surgery has not been established. METHODS A statewide database was used to identify patients with thyroid cancer who underwent initial thyroidectomy from 2013 to 2020. High-volume thyroid surgeons were defined as those who performed >25 thyroid procedures per year. A mixed-effect logistic model was used to compare low- and high-volume surgeons' initial extent of surgery pre-2015 and post-2015 ATA guidelines. Descriptive statistics were used to describe other surgical outcomes. RESULTS The analysis included 3199 patients with thyroid cancer who underwent initial thyroidectomy. Twenty-four surgeons (6%) were considered high-volume; they performed 48% (n = 1349) of the operations. After the 2015 ATA guidelines were released, the rate of HT increased significantly for low- (23% to 28%, P = 0.042) but not high-volume (19% to 23%, P = 0.149) surgeons. Low-volume surgeons had significantly higher rates of readmission (P = 0.008), re-operation (P = 0.030), complications (P < 0.001), and emergency room visits (P = 0.002) throughout the entire study period. CONCLUSIONS The publication of the 2015 ATA guidelines was associated with a significant increase in HT rates, primarily in low-volume thyroid surgeons. While low-volume surgeons began performing more HTs, they continued to have higher rates of readmission, reoperations, complications, and emergency room visits than high-volume surgeons.
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Affiliation(s)
| | - Brandy Sinco
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan; Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Niki Matusko
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan; Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Susan C Pitt
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan; Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - David T Hughes
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
| | - Paul G Gauger
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
| | - Michael Englesbe
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan; Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Hunter J Underwood
- University of Michigan School of Medicine, Ann Arbor, Michigan; Department of Surgery, Michigan Medicine, Ann Arbor, Michigan.
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Bruno M, Legge F, Gentile C, Carone V, Stabile G, Di Leo F, Ludovisi M, Di Florio C, Guido M. Risk Assessment Model for Complications in Minimally Invasive Hysterectomy: A Pilot Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:ijerph20010234. [PMID: 36612556 PMCID: PMC9819802 DOI: 10.3390/ijerph20010234] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 12/14/2022] [Accepted: 12/16/2022] [Indexed: 06/01/2023]
Abstract
Objective: To estimate the rate of intra-operative and postoperative complications, and to define the risk of 30-day major postoperative complications (Clavien-Dindo > 2) according to the presence of one of 10 different variables of minimally invasive (MI) hysterectomy; and then to create a risk assessment model easily applicable in clinical practice. Methods: A single center single arm retrolective study. Data of consecutive patients who have undergone MI hysterectomy for gynaecologic disorders between May 2018 and April 2021 were analyzed. Perioperative surgical outcomes, occurrence of intra- and postoperative complications, and readmissions within 30 days from surgery were registered. Univariate and multivariable analyses were performed to determine the factors associated with major postoperative complications. Results: Over the study period, 445 patients were included in the study. The majority of patients developed a minor event, while major complications (grade III) were required in 14 patients. None of the patients showed a grade IV or V complication. Univariate analysis was performed on patients who had developed intra- or postoperative complications from those who did not experience complications. Body mass index (BMI) (p-value 0.045) and surgeon’s experience (p-value 0.015) were found to be associated with a different surgery time. Regarding major postoperative complications, a statistically significant association was found for the variables: BMI (p-value 0.006), previous abdominal surgery (p-value 0.015), and surgeon’s experience (p-value 0.035) in the univariate analysis. Also in the multivariate analysis, the risk of major postoperative complications was higher in these three different variables. BMI, previous surgery, and surgeon’s experience were inserted in a reproducible risk assessment model in order to stratify the risk of major postoperative complications. Conclusions: We proposed a risk assessment model including factors not previously considered in the literature: the standardization of the surgical technique, the surgeon’s experience, the best MI approach (laparoscopy or robot-assisted), and previous abdominal surgery are crucial tools to consider. Further prospective studies with a larger population sample are needed to validate these preliminary evaluations for patients undergoing MI hysterectomy.
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Affiliation(s)
- Matteo Bruno
- Obstetrics and Gynaecology Unit, San Salvatore Hospital, 67100 L’Aquila, Italy
| | - Francesco Legge
- Gynecologic Oncology Unit, Department of Obstetrics and Gynecology “F. Miulli” General Regional Hospital, Acquaviva delle Fonti, 70021 Bari, Italy
| | - Cosimo Gentile
- Gynecologic Oncology Unit, Department of Obstetrics and Gynecology “F. Miulli” General Regional Hospital, Acquaviva delle Fonti, 70021 Bari, Italy
| | - Vito Carone
- Gynecologic Oncology Unit, Department of Obstetrics and Gynecology “F. Miulli” General Regional Hospital, Acquaviva delle Fonti, 70021 Bari, Italy
| | - Guglielmo Stabile
- Institute for Maternal and Child Health-IRCCS “Burlo Garofolo”, Department of Obstetrics and Gynaecology, 34137 Trieste, Italy
| | - Federico Di Leo
- Obstetrics and Gynaecology Unit, San Salvatore Hospital, 67100 L’Aquila, Italy
| | - Manuela Ludovisi
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy
| | - Christian Di Florio
- Obstetrics and Gynaecology Unit, San Salvatore Hospital, 67100 L’Aquila, Italy
| | - Maurizio Guido
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy
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Howard R, Brown CS, Lai YL, Gunaseelan V, Chua KP, Brummett C, Englesbe M, Waljee J, Bicket MC. The Association of Postoperative Opioid Prescriptions with Patient Outcomes. Ann Surg 2022; 276:e1076-e1082. [PMID: 34091508 PMCID: PMC8787466 DOI: 10.1097/sla.0000000000004965] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To compare outcomes after surgery between patients who were not prescribed opioids and patients who were prescribed opioids. SUMMARY OF BACKGROUND DATA Postoperative opioid prescriptions carry significant risks. Understanding outcomes among patients who receive no opioids after surgery may inform efforts to reduce these risks. METHODS We performed a retrospective study of adult patients who underwent surgery between January 1, 2019 and October 31, 2019. The primary outcome was the composite incidence of an emergency department visit, readmission, or reoperation within 30 days of surgery. Secondary outcomes were postoperative pain, satisfaction, quality of life, and regret collected via postoperative survey. A multilevel, mixed-effects logistic regression was performed to evaluate differences between groups. RESULTS In a cohort of 22,345 patients, mean age (standard deviation) was 52.1 (16.5) years and 13,269 (59.4%) patients were female. About 3175 (14.2%) patients were not prescribed opioids, of whom 422 (13.3%) met the composite adverse event endpoint compared to 2255 (11.8%) of patients not prescribed opioids ( P = 0.015). Patients not prescribed opioids had a similar probability of adverse events {11.7% [95% confidence interval (CI) 10.2%-13.2%] vs 11.9% (95% CI 10.6%-13.3%]}. Among 12,872 survey respondents, patients who were not prescribed an opioid had a similar rate of high satisfaction [81.7% (95% CI 77.3%-86.1%) vs 81.7% (95% CI 77.7%- 85.7%)] and no regret [(93.0% (95% CI 90.8%-95.2%) vs 92.6% (95% CI 90.4%-94.7%)]. CONCLUSIONS Patients who were not prescribed opioids after surgery had similar clinical and patient-reported outcomes as patients who were prescribed opioids. This suggests that minimizing opioids as part of routine postoperative care is unlikely to adversely affect patients.
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Affiliation(s)
- Ryan Howard
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Craig S Brown
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Yen-Ling Lai
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Vidhya Gunaseelan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan
| | - Kao-Ping Chua
- Department of Pediatrics, Michigan Medicine, Ann Arbor, Michigan
| | - Chad Brummett
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan
| | - Michael Englesbe
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Michigan Opioid Prescribing and Engagement Network, Institute for Healthcare Policy and innovation, Ann Arbor, Michigan
| | - Jennifer Waljee
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Michigan Opioid Prescribing and Engagement Network, Institute for Healthcare Policy and innovation, Ann Arbor, Michigan
| | - Mark C Bicket
- Michigan Opioid Prescribing and Engagement Network, Institute for Healthcare Policy and innovation, Ann Arbor, Michigan
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan
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Madhvani K, Garcia SF, Fernandez-Felix BM, Zamora J, Carpenter T, Khan KS. Predicting major complications in patients undergoing laparoscopic and open hysterectomy for benign indications. CMAJ 2022; 194:E1306-E1317. [PMID: 36191941 PMCID: PMC9529570 DOI: 10.1503/cmaj.220914] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/04/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Hysterectomy, the most common gynecological operation, requires surgeons to counsel women about their operative risks. We aimed to develop and validate multivariable logistic regression models to predict major complications of laparoscopic or abdominal hysterectomy for benign conditions. METHODS We obtained routinely collected health administrative data from the English National Health Service (NHS) from 2011 to 2018. We defined major complications based on core outcomes for postoperative complications including ureteric, gastrointestinal and vascular injury, and wound complications. We specified 11 predictors a priori. We used internal-external cross-validation to evaluate discrimination and calibration across 7 NHS regions in the development cohort. We validated the final models using data from an additional NHS region. RESULTS We found that major complications occurred in 4.4% (3037/68 599) of laparoscopic and 4.9% (6201/125 971) of abdominal hysterectomies. Our models showed consistent discrimination in the development cohort (laparoscopic, C-statistic 0.61, 95% confidence interval [CI] 0.60 to 0.62; abdominal, C-statistic 0.67, 95% CI 0.64 to 0.70) and similar or better discrimination in the validation cohort (laparoscopic, C-statistic 0.67, 95% CI 0.65 to 0.69; abdominal, C-statistic 0.67, 95% CI 0.65 to 0.69). Adhesions were most predictive of complications in both models (laparoscopic, odds ratio [OR] 1.92, 95% CI 1.73 to 2.13; abdominal, OR 2.46, 95% CI 2.27 to 2.66). Other factors predictive of complications included adenomyosis in the laparoscopic model, and Asian ethnicity and diabetes in the abdominal model. Protective factors included age and diagnoses of menstrual disorders or benign adnexal mass in both models and diagnosis of fibroids in the abdominal model. INTERPRETATION Personalized risk estimates from these models, which showed moderate discrimination, can inform clinical decision-making for people with benign conditions who may require hysterectomy.
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Affiliation(s)
- Krupa Madhvani
- Barts and the London School of Medicine and Dentistry (Madhvani), Queen Mary University of London, London, UK; University Hospitals Dorset (Carpenter), NHS Foundation Trust, UK; Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS) (Fernandez Garcia, Fernandez-Felix, Zamora); CIBER Epidemiology and Public Health (Fernandez-Felix, Zamora, Khan), Madrid, Spain; WHO Collaborating Centre for Global Women's Health (Zamora), Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Department of Preventative Medicine and Public Health (Khan), Faculty of Medicine, University of Granada, Spain
| | - Silvia Fernandez Garcia
- Barts and the London School of Medicine and Dentistry (Madhvani), Queen Mary University of London, London, UK; University Hospitals Dorset (Carpenter), NHS Foundation Trust, UK; Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS) (Fernandez Garcia, Fernandez-Felix, Zamora); CIBER Epidemiology and Public Health (Fernandez-Felix, Zamora, Khan), Madrid, Spain; WHO Collaborating Centre for Global Women's Health (Zamora), Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Department of Preventative Medicine and Public Health (Khan), Faculty of Medicine, University of Granada, Spain
| | - Borja M Fernandez-Felix
- Barts and the London School of Medicine and Dentistry (Madhvani), Queen Mary University of London, London, UK; University Hospitals Dorset (Carpenter), NHS Foundation Trust, UK; Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS) (Fernandez Garcia, Fernandez-Felix, Zamora); CIBER Epidemiology and Public Health (Fernandez-Felix, Zamora, Khan), Madrid, Spain; WHO Collaborating Centre for Global Women's Health (Zamora), Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Department of Preventative Medicine and Public Health (Khan), Faculty of Medicine, University of Granada, Spain
| | - Javier Zamora
- Barts and the London School of Medicine and Dentistry (Madhvani), Queen Mary University of London, London, UK; University Hospitals Dorset (Carpenter), NHS Foundation Trust, UK; Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS) (Fernandez Garcia, Fernandez-Felix, Zamora); CIBER Epidemiology and Public Health (Fernandez-Felix, Zamora, Khan), Madrid, Spain; WHO Collaborating Centre for Global Women's Health (Zamora), Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Department of Preventative Medicine and Public Health (Khan), Faculty of Medicine, University of Granada, Spain
| | - Tyrone Carpenter
- Barts and the London School of Medicine and Dentistry (Madhvani), Queen Mary University of London, London, UK; University Hospitals Dorset (Carpenter), NHS Foundation Trust, UK; Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS) (Fernandez Garcia, Fernandez-Felix, Zamora); CIBER Epidemiology and Public Health (Fernandez-Felix, Zamora, Khan), Madrid, Spain; WHO Collaborating Centre for Global Women's Health (Zamora), Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Department of Preventative Medicine and Public Health (Khan), Faculty of Medicine, University of Granada, Spain
| | - Khalid S Khan
- Barts and the London School of Medicine and Dentistry (Madhvani), Queen Mary University of London, London, UK; University Hospitals Dorset (Carpenter), NHS Foundation Trust, UK; Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS) (Fernandez Garcia, Fernandez-Felix, Zamora); CIBER Epidemiology and Public Health (Fernandez-Felix, Zamora, Khan), Madrid, Spain; WHO Collaborating Centre for Global Women's Health (Zamora), Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Department of Preventative Medicine and Public Health (Khan), Faculty of Medicine, University of Granada, Spain
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Simko S, Dallas K, Molina AL, Siedhoff MT, Wright KN, Anger JT, Truong MD. Rates of Complications and Reoperation after Myomectomy-the Impact of Surgical Approach: A Statewide Population-based Cohort Study from 2005-2018. J Minim Invasive Gynecol 2022; 29:1157-1164. [PMID: 35781056 DOI: 10.1016/j.jmig.2022.06.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/23/2022] [Accepted: 06/25/2022] [Indexed: 12/30/2022]
Abstract
STUDY OBJECTIVE To assess rates of and factors associated with complications and reoperation after myomectomy. DESIGN Population-based cohort study. SETTING All non-Veterans Affairs facilities in the state of California from January 1, 2005, to December 31, 2018. PARTICIPANTS Women undergoing abdominal or laparoscopic myomectomy for myoma disease were identified from the Office of Statewide Health Planning and Development datasets using appropriate International Classification of Diseases, Ninth and Tenth Revision and Current Procedural Terminology codes. INTERVENTIONS Demographics, surgery facility type, facility surgical volume, and surgical approach were identified. Primary outcomes included complications occurring within 60 days of surgery and reoperations for myomas. Patients were followed up for over an average of 7.3 years. Univariate and multivariable associations were explored between the above factors and rates of complications and reoperation. All odds ratios (ORs) are adjusted ORs. MEASUREMENTS AND MAIN RESULTS Of the 66 012 patients undergoing myomectomy, 5265 had at least one complication (8.0%). Advanced age, black, Asian race, MediCal and Medicare payor status, academic facility, and medical comorbidities were associated with increased odds of a complication. Minimally invasive myomectomy (MIM) was associated with decreased complications compared with abdominal myomectomy (AM) (OR, 0.29; 95% confidence interval [CI], 0.25-0.33; p <.001). Overall, 17 377 patients (26.3%) underwent reoperation. Medicare and MediCal payor status and medical comorbidities were associated with increased odds of a repeat surgery. Reoperation rates were higher in the MIM group over the entire study period (OR, 2.33; 95% CI, 1.95-2.79; p <.001). However, the odds of reoperation after MIM decreased each year (OR, 0.93; 95% CI 0.92-0.95; p <.001), with the odds of reoperation after AM surpassing MIM in 2015. CONCLUSION This study identifies outcome disparities in the surgical management of myomas and describes important differences in the rates of complications and reoperations, which can be used to counsel patients on surgical approach. These findings suggest that MIM can be considered a lasting and safe approach in properly selected patients.
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Affiliation(s)
- Sarah Simko
- Department of Obstetrics and Gynecology, Adventist Health White Memorial Medical Center (Dr. Simko), University of California San Diego, Los Angeles, California.
| | - Kai Dallas
- Division of Urology, Department of Surgery, City of Hope Medical Center (Dr. Dallas), University of California San Diego, Los Angeles, California
| | - Andrea L Molina
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center (Drs. Molina, Siedhoff, Wright, and Truong), University of California San Diego, Los Angeles, California
| | - Matthew T Siedhoff
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center (Drs. Molina, Siedhoff, Wright, and Truong), University of California San Diego, Los Angeles, California
| | - Kelly N Wright
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center (Drs. Molina, Siedhoff, Wright, and Truong), University of California San Diego, Los Angeles, California
| | - Jennifer T Anger
- Division of Urology, Department of Surgery, University of California San Diego (Dr. Anger), Los Angeles, California
| | - Mireille D Truong
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center (Drs. Molina, Siedhoff, Wright, and Truong), University of California San Diego, Los Angeles, California
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US Nationwide Insight Into All-cause 30-day Readmissions following Inpatient Endoscopic Retrograde Cholangiopancreatography. J Clin Gastroenterol 2022; 57:515-523. [PMID: 35537131 DOI: 10.1097/mcg.0000000000001709] [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] [Received: 10/01/2021] [Accepted: 03/16/2022] [Indexed: 12/10/2022]
Abstract
BACKGROUND AND AIMS Endoscopic retrograde cholangiopancreatography (ERCP) is associated with a high risk for morbidity, mortality, and hospital readmission. Data regarding those risks in the United States is scarce. We assessed post-ERCP 30-day readmission rates, their etiologies, and impact on the health care system using national data. METHODS Using the National Readmission Database 2016, we identified patients who underwent inpatient ERCP from January 2016 to December 2016 using ICD-10-CM procedure codes. The primary endpoint was all-cause 30-day readmission rate. Etiologies of readmission were identified by tallying primary diagnosis. Multivariable logistic regression with complex survey design was used to identify independent risk factors associated with readmission. RESULTS A total of 130,145 patients underwent ERCP, 16,278 (12.5%) were readmitted within 30 days, with an associated cost of 268 million dollars. Nearly 40% of readmissions occurred within 7 days, and 47.9% were related to gastrointestinal etiologies. Male gender, increased comorbidities, cirrhosis, Medicare insurance, and pancreatitis or pancreatitis-related indications for ERCP were readmission risk factors. Performance of cholecystectomy on index hospitalization decreased odds of readmission by 50% (adjusted odds ratio: 0.48, 95% confidence interval: 0.45-0.52,P<0.0001). While academic and nonacademic centers had similar readmission rates, high ERCP volume centers had higher rates compared with low-volume centers (adjusted odds ratio:1.10,P=0.008). CONCLUSION All-cause 30-day readmission rates after inpatient ERCPs are high, mostly occur shortly postdischarge, and impose a heavy health care system burden. Large, multicenter prospective studies assessing the impact of center procedure volume on complications and readmission rates are needed.
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Schmidt PC, Kamdar NS, Erekson E, Swenson CW, Uppal S, Morgan DM. Development of a Preoperative Clinical Risk Assessment Tool for Postoperative Complications After Hysterectomy. J Minim Invasive Gynecol 2022; 29:401-408.e1. [PMID: 34687927 PMCID: PMC8917981 DOI: 10.1016/j.jmig.2021.10.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/14/2021] [Accepted: 10/15/2021] [Indexed: 11/15/2022]
Abstract
STUDY OBJECTIVE To develop a preoperative risk assessment tool that quantifies the risk of postoperative complications within 30 days of hysterectomy. DESIGN Retrospective analysis. SETTING Michigan Surgical Quality Collaborative hospitals. PATIENTS Women who underwent hysterectomy for gynecologic indications. INTERVENTIONS Development of a nomogram to create a clinical risk assessment tool. MEASUREMENTS AND MAIN RESULTS Postoperative complications within 30 days were the primary outcome. Bivariate analysis was performed comparing women who had a complication and those who did not. The patient registry was randomly divided. A logistic regression model developed and validated from the Collaborative database was externally validated with hysterectomy cases from the National Surgical Quality Improvement Program, and a nomogram was developed to create a clinical risk assessment tool. Of the 41,147 included women, the overall postoperative complication rate was 3.98% (n = 1638). Preoperative factors associated with postoperative complications were sepsis (odds ratio [OR] 7.98; confidence interval [CI], 1.98-32.20), abdominal approach (OR 2.27; 95% CI, 1.70-3.05), dependent functional status (OR 2.20; 95% CI, 1.34-3.62), bleeding disorder (OR 2.10; 95% CI, 1.37-3.21), diabetes with HbA1c ≥9% (OR 1.93; 95% CI, 1.16-3.24), gynecologic cancer (OR 1.86; 95% CI, 1.49-2.31), blood transfusion (OR 1.84; 95% CI, 1.15-2.96), American Society of Anesthesiologists Physical Status Classification System class ≥3 (OR 1.46; 95% CI, 1.24-1.73), government insurance (OR 1.3; 95% CI, 1.40-1.90), and body mass index ≥40 (OR 1.25; 95% CI, 1.04-1.50). Model discrimination was consistent in the derivation, internal validation, and external validation cohorts (C-statistics 0.68, 0.69, 0.68, respectively). CONCLUSION We validated a preoperative clinical risk assessment tool to predict postoperative complications within 30 days of hysterectomy. Modifiable risk factors identified were preoperative blood transfusion, poor glycemic control, and open abdominal surgery.
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Affiliation(s)
- Payton C. Schmidt
- Department of Obstetrics and Gynecology, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI 48109 USA,Corresponding author: Payton C. Schmidt, MD, Department of Obstetrics and Gynecology, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI 48109 USA; Phone: 1-734-390-2704; Fax: 734-647-9727,
| | - Neil S. Kamdar
- Institute for Healthcare Policy and Innovation, University of Michigan, 2800 Plymouth Rd. Ann Abor, MI 48109 USA
| | - Elisabeth Erekson
- Department of Obstetrics and Gynecology, Dartmouth-Hitchcock, 1 Medical Center Dr., Lebanon, NH 03766 USA
| | - Carolyn W. Swenson
- Department of Obstetrics and Gynecology, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI 48109 USA
| | - Shitanshu Uppal
- Department of Obstetrics and Gynecology, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI 48109 USA
| | - Daniel M. Morgan
- Department of Obstetrics and Gynecology, University of Michigan, 1500 E. Medical Center Dr., Ann Arbor, MI 48109 USA
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Pepin K, Cook F, Maghsoudlou P, Cohen SL. Risk-prediction Model for Patients Undergoing Laparoscopic Hysterectomy. J Minim Invasive Gynecol 2021; 28:1751-1758.e1. [PMID: 33713836 DOI: 10.1016/j.jmig.2021.03.001] [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: 11/09/2020] [Revised: 02/28/2021] [Accepted: 03/04/2021] [Indexed: 10/22/2022]
Abstract
STUDY OBJECTIVE Develop a model for predicting adverse outcomes at the time of laparoscopic hysterectomy (LH) for benign indications. DESIGN Retrospective cohort study. SETTING Large academic center. PATIENTS All patients undergoing LH for benign indications at our institution between 2009 and 2017. INTERVENTIONS LH (including robot-assisted and laparoscopically assisted vaginal hysterectomy) was performed per standard technique. Data about the patient, surgeon, perioperative adverse outcomes (intraoperative complications, readmission, reoperation, operative time >4 hours, and postoperative medical complications or length of stay >2 days), and uterine weight were collected retrospectively. Pathologic uterine weight was used as a surrogate for predicted preoperative uterine weight. The sample was randomly split, using a random sequence generator, into 2 cohorts, one for deriving the model and the other to validate the model. MEASUREMENTS AND MAIN RESULTS A total of 3441 patients were included. The rate of composite adverse outcomes was 14.1%. The final logistic regression risk-prediction model identified 6 variables predictive of an adverse outcome at the time of LH: race, history of laparotomy, history of laparoscopy, predicted preoperative uterine weight, body mass index, and surgeon annual case volume. Specifically included were race (97% increased odds of an adverse outcome for black women [95% confidence interval (CI), 34%-110%] and 34% increased odds of an adverse outcome for women of other races [95% CI, -11% to 104%] when compared with white women), history of laparotomy (69% increased odds of an adverse outcome [95% CI, 26%-128%]), history of laparoscopy (65% increased odds of an adverse outcome [95% CI, 21%-124%]), and predicted preoperative uterine weight (2.9% increased odds of an adverse outcome for each 100-g increase in predicted weight [95% CI, 2%-4%]). Body mass index and surgeon annual case volume also had a statistically significant nonlinear relationship with the risk of an adverse outcome. The c-statistic values for the derivation and validation cohorts were 0.74 and 0.72, respectively. The model is best calibrated for patients at lower risk (<20%). CONCLUSION The LH risk-prediction model is a potentially powerful tool for predicting adverse outcomes in patients planning hysterectomy.
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Affiliation(s)
- Kristen Pepin
- Department of Minimally Invasive Gynecologic Surgery, Brigham and Women's Hospital (Drs. Pepin and Cohen, and Ms. Maghsoudlou); Department of Minimally Invasive Gynecologic Surgery, Weill Cornell Medicine, New York, New York (Dr. Pepin).
| | - Francis Cook
- Department of Epidemiology, Harvard School of Public Health (Dr. Cook), Boston, Massachusetts
| | - Parmida Maghsoudlou
- Department of Minimally Invasive Gynecologic Surgery, Brigham and Women's Hospital (Drs. Pepin and Cohen, and Ms. Maghsoudlou)
| | - Sarah L Cohen
- Department of Minimally Invasive Gynecologic Surgery, Brigham and Women's Hospital (Drs. Pepin and Cohen, and Ms. Maghsoudlou); Department of Minimally Invasive Gynecologic Surgery, Mayo Clinic, Rochester, Minnesota (Dr. Cohen)
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Abstract
IMPORTANCE Surgery is a teachable moment, and smoking cessation interventions that coincide with an episode of surgical care are especially effective. Implementing these interventions at a large scale requires understanding the prevalence and characteristics of smoking among surgical patients. OBJECTIVES To describe the prevalence of smoking in a population of patients undergoing common surgical procedures and to identify any clinical or demographic characteristics associated with smoking. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included all adult patients (aged ≥18 years) in a statewide registry who underwent general and vascular surgical procedures from 2012 to 2019 at 70 hospitals in Michigan. Data analysis was conducted from August to October 2020. EXPOSURES Undergoing a surgical procedure in any of the following categories: appendectomy, cholecystectomy, colon procedures, gastric or esophageal procedures, hepatopancreatobiliary procedures, hernia repair, small-bowel procedures, hysterectomy, vascular procedures, thyroidectomy, and other unspecific abdominal procedures. MAIN OUTCOMES AND MEASURES The prevalence of smoking prior to surgery, defined as cigarette use in the year prior to surgery, obtained from medical record review. Multivariable logistic regression was performed to analyze smoking prevalence based on insurance type and year of surgery while adjusting for demographic and clinical factors, including age, sex, race/ethnicity (determined from the medical record), insurance type, geographic region, comorbidities (ie, hypertension, diabetes, congestive heart failure, chronic obstructive pulmonary disease, chronic steroid use, and obstructive sleep apnea), American Society of Anesthesiologists classification, admission status, surgical priority, procedure type, and year of surgery. RESULTS From 2012 to 2019, 328 578 patients underwent surgery and were included in analysis. Mean (SD) age was 54.0 (17.0) years, and 197 501 patients (60.1%) were women. The overall prevalence of smoking was 24.1% (79 152 patients). Prevalence varied regionally from 21.5% (95% CI, 21.0%-21.9%; 6686 of 31 172 patients) in southeast Michigan to 28.0% (95% CI, 27.1%-28.9%; 2696 of 9614 patients) in northeast Michigan. When adjusting for clinical and demographic factors, there were greater odds of smoking among patients with Medicaid (odds ratio [OR], 2.75; 95% CI, 2.69-2.82) and patients without insurance (OR, 2.21; 95% CI, 2.10-2.33) compared with patients with private insurance. Among procedure categories, patients undergoing vascular surgery had greater odds of smoking (OR, 3.24; 95% CI, 3.11-3.38) than those undergoing cholecystectomy. Compared with 2012, the adjusted odds of smoking decreased significantly each year (eg, 2019: OR, 0.78; 95% CI, 0.74-0.81). In 2019, the adjusted prevalence of smoking was 22.3% (95% CI, 22.0%-22.7%) among all patients, 43.0% (95% CI, 42.4%-43.6%) among patients with Medicaid, and 36.3% (95% CI, 35.2%-37.4%) among patients without insurance. CONCLUSIONS AND RELEVANCE In a statewide population of surgical patients, nearly one-quarter of patients smoked cigarettes, which is higher than the national average. The prevalence of smoking was especially high among patients without insurance and among those receiving Medicaid. Given the established association between undergoing a major surgical procedure and health behavior change, targeted smoking cessation interventions at the time of surgery may be an effective strategy to improve population health, especially among at-risk patient groups.
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Affiliation(s)
- Ryan Howard
- Department of Surgery, University of Michigan, Ann Arbor
- Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor
| | - Kushal Singh
- Michigan Surgical Quality Collaborative, Ann Arbor
| | - Michael Englesbe
- Department of Surgery, University of Michigan, Ann Arbor
- Michigan Surgical Quality Collaborative, Ann Arbor
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Sisodia RC, Dewdney SB, Fader AN, Wethington SL, Melamed A, Von Gruenigen VE, Zivanovic O, Carter J, Cohn DE, Huh W, Wenzel L, Doll K, Cella D, Dowdy SC. Patient reported outcomes measures in gynecologic oncology: A primer for clinical use, part I. Gynecol Oncol 2021; 158:194-200. [PMID: 32580886 DOI: 10.1016/j.ygyno.2020.04.696] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 04/18/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Rachel C Sisodia
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, United States of America.
| | - Summer B Dewdney
- Division of Gynecologic Oncology, Rush University Medical Center, Chicago, IL, United States of America
| | - Amanda N Fader
- Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, MD, United States of America
| | - Stephanie L Wethington
- Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, MD, United States of America
| | - Alexander Melamed
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States of America
| | - Vivian E Von Gruenigen
- Department of Obstetrics and Gynecology, University Hospitals of Cleveland, United States of America
| | - Oliver Zivanovic
- Memorial Sloan Kettering Cancer Center, 300 East 66th Street, 8th Floor, New York, NY, 10065, United States of America
| | - Jeanne Carter
- Memorial Sloan Kettering Cancer Center, 300 East 66th Street, 8th Floor, New York, NY, 10065, United States of America
| | - David E Cohn
- Department of Obstetrics and Gynecology, Ohio State University College of Medicine, Columbus, OH 43210, United States of America
| | - Warner Huh
- Department of Obstetrics and Gynecology, University and Alabama, Birmingham, AL, United States of America
| | - Lari Wenzel
- Universtiy of California, Irvine, United States of America
| | - Kemi Doll
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States of America
| | - David Cella
- Department of Medical Social Sciences and Robert H Lurie Comprehensive Cancer Center, Northwestern University, United States of America
| | - Sean C Dowdy
- Division of Gynecologic Oncology, Mayo Clinic, Rochester, MN 55905, United States of America
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Capmas P, Suarthana E, Larouche M. Conversion rate of laparoscopic or robotic to open sacrocolpopexy: are there associated factors and complications? Int Urogynecol J 2020; 32:2249-2256. [PMID: 33104825 DOI: 10.1007/s00192-020-04570-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 10/14/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To evaluate the conversion rate of laparoscopic or robotic to open sacrocolpopexy and to identify associated factors in a large population-based database. METHODS We used Health Care Cost and Utilization Project-National Inpatient Sample (HCUP-NIS) databases 2005-2014. We extracted data on apical suspension and synthetic mesh with laparoscopy or robot in adult women using International Classification of Diseases, ninth edition, Clinical Modification (ICD-9-CM) codes. We evaluated the rate of conversion and used logistic regression to study the association with risk factors. RESULTS We identified 3295 women with laparoscopic or robotic sacrocolpopexies. There were 2777 robotic procedures with 37 conversion (1.33%) and 518 laparoscopic procedures with 37 conversions (7.14%), with an overall conversion rate of 2.2%. Median age was 62 years [interquartile range (IQR) = 55-69]. Concomitant hysterectomy was significantly more frequent in the robotic than laparascopic group (41.7% versus 13.9%, p < 0.01) and was not associated with conversion. Factors associated with lower conversion included a robotic approach (adjusted odd ratio (aOR) 0.32 [95% CI 0.19-0.54]) and private insurance (aOR 0.53 [95% CI 0.32-0.86]). Factors associated with higher conversion were obesity (aOR 3.27 [95% CI 1.72-6.19]) and lysis of adhesions (aOR 3.32 [95% CI 1.89-5.85]). Accidental organ puncture was significantly associated with conversion (14.9% versus 3.8%; p < 0.01). CONCLUSION In this American database, the rate of conversion of laparoscopic or robotic to open sacrocolpopexy was low. The majority (84%) of minimally invasive sacrocolpopexies used a robotic approach, which was associated with a lower risk of conversion. Obesity and lysis of adhesions were associated with a higher risk of conversion.
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Affiliation(s)
- Perrine Capmas
- Department of Obstetrics and Gynecology, McGill University, Montreal, QC, Canada. .,Inserm, Centre of Research in Epidemiology and Population Health (CESP), U1018, and Faculty of Medicine, University Paris Sud, 94276, Le Kremlin Bicêtre, France.
| | - Eva Suarthana
- Department of Obstetrics and Gynecology, McGill University, Montreal, QC, Canada
| | - Maryse Larouche
- Department of Obstetrics and Gynecology, McGill University, Montreal, QC, Canada
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Pepin KJ, Cook EF, Cohen SL. Risk of complication at the time of laparoscopic hysterectomy: a prediction model built from the National Surgical Quality Improvement Program database. Am J Obstet Gynecol 2020; 223:555.e1-555.e7. [PMID: 32247844 DOI: 10.1016/j.ajog.2020.03.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 03/20/2020] [Accepted: 03/24/2020] [Indexed: 01/04/2023]
Abstract
BACKGROUND Although laparoscopic hysterectomy is well established as a favorable mode of hysterectomy owing to decreased perioperative complications, there is still room for improvement in quality of care. Previous studies have described laparoscopic hysterectomy risk, but there is currently no tool for predicting risk of complication at the time of laparoscopic hysterectomy. OBJECTIVE This study aimed to create a prediction model for complications at the time of laparoscopic hysterectomy for benign conditions. STUDY DESIGN This is a retrospective cohort study that included patients who underwent laparoscopic hysterectomy for benign indications between 2014 and 2017 in US hospitals contributing to the American College of Surgeons - National Surgical Quality Improvement Program database. Data about patient baseline characteristics, perioperative complications (intraoperative complications, readmission, reoperation, need for transfusion, operative time greater than 4 hours, or postoperative medical complication), and uterine weight at the time of pathologic examination were collected retrospectively. Postoperative uterine weight was used as a proxy for preoperative uterine weight estimate. The sample was randomly divided into 2 patient populations, one for deriving the model and the other to validate the model. RESULTS A total of 33,123 women met the inclusion criteria. The rate of composite complication was 14.1%. Complication rates were similar in the derivation and validation cohorts (14.1% [2306 of 14,051] vs 13.9% [2289 of 14,107], P=.7207). The logistic regression risk prediction tool for hysterectomy complication identified 7 variables predictive of complication: history of laparotomy (21% increased odds of complication), age (2% increased odds of complication per year of life), body mass index (0.2% increased odds of complication per each unit increase in body mass index), parity (7% increased odds of complication per delivery), race (when compared with white women, black women had 34% increased odds and women of other races had 18% increased odds of complication), and American Society of Anesthesiologists score (when compared with American Society of Anesthesiologists 1, American Society of Anesthesiologists 2 had 31% increased odds, American Society of Anesthesiologists 3 had 62% increased odds, and American Society of Anesthesiologists 4 had 172% increased odds of complication). Predicted preoperative uterine weight also had a statistically significant nonlinear relationship with odds of complication. The c-statistics for the derivation and validation cohorts were 0.62 and 0.62, respectively. The model is well calibrated for women at all levels of risk. CONCLUSION The laparoscopic hysterectomy complication predictor model is a tool for predicting complications in patients planning to undergo hysterectomy.
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Use of the MMPI-2 personality profile in predicting 30-day ED-visits and readmissions following primary bariatric surgery. Surg Endosc 2020; 35:4725-4737. [DOI: 10.1007/s00464-020-07944-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Accepted: 08/25/2020] [Indexed: 01/09/2023]
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Abstract
The discovery of bacteria in the female urinary bladder has fundamentally changed current dogma regarding the urinary tract and related urinary disorders. Previous research characterized many of the bacterial components of the female urinary tract, but the viral fraction of this community is largely unknown. Viruses within the human microbiota far outnumber bacterial cells, with the most abundant viruses being those that infect bacteria (bacteriophages). Similar to observations within the microbiota of the gut and oral cavity, preliminary surveys of the urinary tract and bladder microbiota indicate a rich diversity of uncharacterized bacteriophage (phage) species. Phages are vital members of the microbiota, having critical roles in shaping bacterial metabolism and community structure. Although phages have been discovered in the urinary tract, such as phages that infect Escherichia coli, sampling them is challenging owing to low biomass, possible contamination when using non-invasive methods and the invasiveness of methods that reduce the potential for contamination. Phages could influence bladder health, but an understanding of the association between phage communities, bacterial populations and bladder health is in its infancy. However, evidence suggests that phages can defend the host against pathogenic bacteria and, therefore, modulation of the microbiome using phages has therapeutic potential for lower urinary tract symptoms. Furthermore, as natural predators of bacteria, phages have garnered renewed interest for their use as antimicrobial agents, for instance, in the treatment of urinary tract infections.
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Pfister A, Perrone NJ, Farnan L, Gerstel A, Bensen JT, Clark LH. The Effect of Insurance Status on Surgical Outcomes in Gynecologic Cancer Patients. J Gynecol Surg 2019. [DOI: 10.1089/gyn.2018.0084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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