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Clinker C, Smith KM, Ishikawa H, Joyce C, Tashjian RZ, Chalmers PN. Three-month Delay in Rotator Cuff Repair: 2-year Follow-up. J Am Acad Orthop Surg Glob Res Rev 2024; 8:01979360-202401000-00009. [PMID: 38252563 PMCID: PMC10805414 DOI: 10.5435/jaaosglobal-d-23-00283] [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: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024]
Abstract
INTRODUCTION This study examined 2-year outcomes of patients who underwent delayed rotator cuff repair (RCR) compared with those who underwent RCR without delay. METHODS In this prospective comparative study, two groups were formed: (1) patients planning RCR during a 6-week elective surgery ban and (2) patients undergoing RCR at least 6 weeks after the ban. The Simple Shoulder Test, American Shoulder and Elbow Surgeon score, and visual analog scale for pain were collected preoperatively and at 2 years postoperatively. Magnetic resonance imaging assessed healing 6 months postoperatively. RESULTS With a 93.3% 2-year follow-up (13/15 delay group, 15/15 control), there was an 87-day difference in presentation to surgery (P = 0.001), with no significant preoperative demographic or tear characteristic differences between groups. Intraoperatively, there were no differences between groups in repair characteristics. Preoperative versus postoperative differences in American Shoulder and Elbow Surgeon score (P < 0.001), visual analog scale (P < 0.001), and Simple Shoulder Test scores (P < 0.001) were significant but not between groups (P = 0.650, 0.586, 0.525). On MRI, 58% in the delay group and 85% in the control group had healed (P = 0.202). DISCUSSION Although a 3-month delay showed no statistically significant effect on outcomes, the delay group had an approximately 27% higher failure rate. Thus, although a 3-month period of nonsurgical treatment before RCR may be reasonable, larger studies are warranted for definitive conclusions.
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Affiliation(s)
- Christopher Clinker
- From the Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT (Mr. Clinker, Dr. Ishikawa, Dr. Joyce, Dr. Tashjian, Dr. Chalmers); Department of Orthopaedic Surgery, University of California San Diego, San Diego, CA (Dr. Smith)
| | - Karch M. Smith
- From the Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT (Mr. Clinker, Dr. Ishikawa, Dr. Joyce, Dr. Tashjian, Dr. Chalmers); Department of Orthopaedic Surgery, University of California San Diego, San Diego, CA (Dr. Smith)
| | - Hiroaki Ishikawa
- From the Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT (Mr. Clinker, Dr. Ishikawa, Dr. Joyce, Dr. Tashjian, Dr. Chalmers); Department of Orthopaedic Surgery, University of California San Diego, San Diego, CA (Dr. Smith)
| | - Christopher Joyce
- From the Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT (Mr. Clinker, Dr. Ishikawa, Dr. Joyce, Dr. Tashjian, Dr. Chalmers); Department of Orthopaedic Surgery, University of California San Diego, San Diego, CA (Dr. Smith)
| | - Robert Z. Tashjian
- From the Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT (Mr. Clinker, Dr. Ishikawa, Dr. Joyce, Dr. Tashjian, Dr. Chalmers); Department of Orthopaedic Surgery, University of California San Diego, San Diego, CA (Dr. Smith)
| | - Peter N. Chalmers
- From the Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT (Mr. Clinker, Dr. Ishikawa, Dr. Joyce, Dr. Tashjian, Dr. Chalmers); Department of Orthopaedic Surgery, University of California San Diego, San Diego, CA (Dr. Smith)
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Gordon AM, Sheth BK, Horn AR, Magruder ML, Conway CA, Erez O. The Careful Return of Sports Medicine Procedures in the United States During COVID-19: Comparison of Utilization, Patient Demographics, and Complications. J Patient Saf 2023; 19:193-201. [PMID: 36729609 PMCID: PMC10044586 DOI: 10.1097/pts.0000000000001100] [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] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Sports medicine procedures encompass some of the highest-volume elective surgeries performed annually. Elective surgery was suspended because of the severe acute respiratory syndrome coronavirus 2 (COVID-19) pandemic; therefore, the purpose was to compare temporal trends in procedural volume, patient demographics, and postoperative complications of elective sports medicine procedures in 2019 and 2020. METHODS Using a multicenter, nationwide sample, a retrospective query of the 2019 to 2020 American College of Surgeon's National Surgery Quality Improvement Program database was conducted for all patients undergoing common elective sports medicine procedures. Temporal trends in utilization, demographics, and 30-day complications were compared pre-COVID (2019 and 2020Q1) with post-COVID (2020Q2-Q4). Linear regression was used to evaluate changes in procedural volume over time. A significance threshold of P < 0.05 was used. RESULTS A total of 48,803 patients underwent elective surgery in 2019 (n = 27,883) and 2020 (n = 20,920), a 25.0% decline. Procedural utilization declined by 42.5% in 2020Q2 and never returned to prepandemic baseline in 2020Q3-Q4. The percentage decline in case volume from 2019 to 2020Q2 was greatest for meniscectomy (47.6%), rotator cuff repair (42.7%), labral repair (41.6%), biceps tenodesis (41.3%), and anterior cruciate ligament reconstruction (38.5%). Total complication rates were similar in 2019 (1.31%) versus 2020 (1.51%; P = 0.072). The 30-day readmission (0.74% versus 0.67%; P = 0.374), reoperation (0.35% versus 0.35%; P = 0.963), and mortality (0.01% versus 0.01%; P = 0.657) rates were similar between calendar years. CONCLUSIONS Sports medicine procedures declined during the second quarter of 2020. Despite pandemic restrictions, patients who did undergo surgery did not experience increased complications. The present study may be used by surgeons, hospitals, and subspecialty societies to support the careful utilization of elective surgery during COVID-19. LEVEL OF EVIDENCE III, prognostic study.
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Beydoun HA, Beydoun MA, Alemu BT, Weiss J, Hossain S, Gautam RS, Zonderman AB. Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults ≥50 Years during the Pandemic: 2006-2020 Health and Retirement Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12059. [PMID: 36231360 PMCID: PMC9566439 DOI: 10.3390/ijerph191912059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/16/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND The coronavirus disease 19 (COVID-19) was declared a global pandemic on 11 March 2020. To date, a limited number of studies have examined the impact of this pandemic on healthcare-seeking behaviors of older populations. This longitudinal study examined personal characteristics linked to COVID-19 outcomes as predictors of self-reported delayed healthcare services attributed to this pandemic, among U.S. adults, ≥50 years of age. METHODS Secondary analyses were performed using cross-sectional data (1413 participants) and longitudinal data (2881 participants) from Health and Retirement Study (HRS) (2006-2018) linked to the 2020 HRS COVID-19 Project (57% female, mean age: 68 years). Demographic, socioeconomic, lifestyle and health characteristics were evaluated in relation to delayed overall, surgical and non-surgical healthcare services ("Since March 2020, was there any time when you needed medical or dental care, but delayed getting it, or did not get it at all?" and "What type of care did you delay") using logistic regression and Ensemble machine learning for cross-sectional data as well as mixed-effects logistic modeling for longitudinal data. RESULTS Nearly 32.7% delayed healthcare services, 5.8% delayed surgical services and 31.4% delayed non-surgical services. Being female, having a college degree or higher and 1-unit increase in depression score were key predictors of delayed healthcare services. In fully adjusted logistic models, a history of 1 or 2 cardiovascular and/or metabolic conditions (vs. none) was associated with 60-70% greater odds of delays in non-surgical services, with distinct findings for histories of hypertension, cardiovascular disease, diabetes and stroke. Ensemble machine learning predicted surgical better than overall and non-surgical healthcare delays. CONCLUSION Among older adults, sex, education and depressive symptoms are key predictors of delayed healthcare services attributed to the COVID-19 pandemic. Delays in surgical and non-surgical healthcare services may have distinct predictors, with non-surgical delays more frequently observed among individuals with a history of 1 or 2 cardiovascular and/or metabolic conditions.
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Affiliation(s)
- Hind A. Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA 22060, USA
| | - May A. Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD 21225, USA
| | - Brook T. Alemu
- Health Sciences Program, School of Health Sciences, Western Carolina University, Cullowhee, NC 28723, USA
| | - Jordan Weiss
- Department of Demography, University of California Berkeley, Berkeley, CA 94720, USA
| | - Sharmin Hossain
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD 21225, USA
| | - Rana S. Gautam
- Department of Sociology and Human Services, University of North Georgia, Dahlonega, GA 30597, USA
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD 21225, USA
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Elective operations delay and emergency department visits and inpatient admissions during COVID-19. SURGERY IN PRACTICE AND SCIENCE 2022; 10:100111. [PMCID: PMC9272689 DOI: 10.1016/j.sipas.2022.100111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/26/2022] [Accepted: 07/10/2022] [Indexed: 11/19/2022] Open
Abstract
Introduction At the beginning of the COVID-19 pandemic, many hospitals postponed elective operations for a 12-week period in early 2020. During this time, there was concern that the delay would lead to worse health outcomes. The objective of this study is to analyze the effect of delaying operations during this period on ED (Emergency Department) visits and/or urgent IP (Inpatient) admissions. Methods Electronic Health Record (EHR) data on canceled elective operations between 3/17/20 to 6/8/20 was extracted and a descriptive analysis was performed looking at patient demographics, delay time (days), procedure type, and procedure on rescheduled, completed elective operations with and without a related ED visit and/or IP admission during the delay period. Results Only 4 out of 197 (2.0%) operations among 4 patients out of 186 patients (2.0%) had an ED visit or IP admission diagnosis related to the postponed operation. When comparing the two groups, the 4 patients were older and had a longer median delay time compared to the 186 patients without an ED visit or IP admission. Conclusion Postponement of certain elective operations may be done with minimal risk to the patient during times of crisis. However, this minimal risk may be due to the study site's selection of elective operations to postpone. For example, none of the elective operations canceled or postponed were cardiovascular operations, which have worse health outcomes when delayed.
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