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1.
Ann Plast Surg ; 92(6S Suppl 4): S413-S418, 2024 Jun 01.
Article in English | MEDLINE | ID: mdl-38857006

ABSTRACT

BACKGROUND: Hourly flap checks are the most common means of flap monitoring during the first 24 hours following autologous breast reconstruction (ABR). This practice often requires intensive care unit (ICU) admission, which is a key driver of health care costs and decreased patient satisfaction. This study addresses these issues by demonstrating decreased cost and length of admission associated with a 4-hour interval between flap checks during the first 24 hours following ABR. METHODS: This is a retrospective review of ABR surgeries performed by multiple surgeons from 2017 to 2020. Two cohorts were identified, one that underwent flap checks every hour in the ICU (Q1 cohort) and the other that underwent flap checks every 4 hours on the hospital floor (Q4 cohort). Our primary outcome measures were length of stay (LOS), flap takebacks, flap loss, and encounter cost. RESULTS: Rates of flap takeback and loss did not differ between cohorts (P = 0.18, P = 0.21). The Q4 cohort's average LOS was shorter than the Q1 cohort (P = 0.002). The Q4 cohort's average cost was also $25,554.80 less than the Q1 cohort (P < 0.001). This association persisted after controlling for LOS, operating room takeback, timing and laterality of reconstruction, and flap configuration (hazard ratio = 0.65, P = 0.0007). CONCLUSION: This study demonstrates the benefits of lengthened flap check intervals during the first 24 hours following ABR. These intervals decrease the cost of ABR while also maintaining safety, making ABR a more accessible option for breast reconstruction patients.


Subject(s)
Length of Stay , Mammaplasty , Surgical Flaps , Humans , Mammaplasty/methods , Mammaplasty/economics , Female , Retrospective Studies , Middle Aged , Time Factors , Length of Stay/statistics & numerical data , Adult , Postoperative Care/methods , Monitoring, Physiologic/methods , Transplantation, Autologous
2.
J Clin Rheumatol ; 28(2): e359-e362, 2022 03 01.
Article in English | MEDLINE | ID: mdl-33657591

ABSTRACT

BACKGROUND/OBJECTIVE: The objective of this study was to identify patient and disease characteristics associated with the symptomatic severity of knee osteoarthritis (OA) at the time of initial knee OA diagnosis by an orthopedist. METHODS: This medical records review included patients initially diagnosed with knee OA during 2016 to 2017 by a single orthopedic surgeon in a university-based tertiary care setting. All variables were assessed at first OA diagnosis. Main outcomes were subscales of the Knee Injury and Osteoarthritis Outcome Score-Pain, other Symptoms, knee-related quality of life, and function in daily living. Multivariable regression analyses examined the following predictors of main outcomes: sex, race, age, insurance type, body mass index, Charlson comorbidity index, and radiographic OA severity (Kellgren-Lawrence grade). RESULTS: Of the 559 patients included in the study, most were African American (52.1%), female (71.7%), and had severe radiographic OA (Kellgren-Lawrence grade, 4; 68.7%). Female sex, African American racial/ethnic group, Medicaid insurance, younger age, and severe radiographic OA were independently statistically significantly associated with worse symptoms, pain, and function (p < 0.05 for all). Body mass index and Charlson comorbidity index were not statistically significant predictors of any outcome. CONCLUSIONS: This study identified disparities in the perception of knee OA problems at initial orthopedist diagnosis based on sex, age, race, insurance, and radiographic OA severity. Because most of these variables are also associated with more rapid progression of OA, identifying their biopsychosocial underpinnings may help determine which interventions are most likely to redress these disparities and delay progression to end-stage knee OA.


Subject(s)
Osteoarthritis, Knee , Black or African American , Female , Humans , Knee Joint/diagnostic imaging , Osteoarthritis, Knee/complications , Osteoarthritis, Knee/diagnosis , Osteoarthritis, Knee/epidemiology , Quality of Life , Referral and Consultation , Severity of Illness Index
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