Lakra Akshay, Kyaw Nyi-Rein, Puleo James M, Kuna Michael C, Tram Michael, Zimmerman Joseph P
Department of Orthopedic Surgery, Albany Medical Center, Albany, NY, USA.
Clin Orthop Relat Res. 2025 Apr 10. doi: 10.1097/CORR.0000000000003461.
Frailty has been associated with a greater risk of complications and higher treatment costs for various medical conditions and surgical procedures. The Modified Frailty Index, which analyzes five or six medical comorbidities, helps grade the severity of a patient's frailty. Patients with frailty, as recognized by this index, are more likely to face adverse medical and surgical events after total shoulder arthroplasty (TSA). However, these modified indices often do not consider less common medical conditions that contribute to frailty. As such, we believe that patients may be more readily misdiagnosed as not having frailty. A more comprehensive frailty score that more accurately recognizes frailty in a wider patient population is necessary.
QUESTION/PURPOSES: After analyzing for any possible differences due to confounding variables such as age, gender, socioeconomic variables, and insurance provider, we asked: (1) Was frailty, defined as a score of ≥ 5 on the Hospital Frailty Risk Score (HFRS), associated with a higher risk of reoperation or readmission within 30 days of primary TSA? (2) Was frailty associated with an increased risk of major medical or surgical complications after TSA? (3) Was frailty associated with higher hospital costs (assessed by insurance charge-to-cost ratio per admission) and length of stay for patients after TSA?
This study examined the Nationwide Readmissions Database, which includes patients from 28 states, representing 60% of all US residents and 60% of all US hospitalizations. We identified adult patients who were discharged after both anatomic and reverse TSA for primary osteoarthritis between January and November of 2017 to 2019 (patients who underwent TSA in December of each year were excluded). The HFRS was calculated for each patient based on 109 differently weighted ICD-10 Clinical Modification codes as validated in previous studies. Patients with an HFRS of ≥ 5 were considered as having frailty. Of the 107,774 patients who underwent TSA and were recorded in this database, 15% (16,210) were classified as patients with frailty. Patients over age 65 years comprised a larger portion of patients with frailty than patients without frailty (81% [13,130 of 16,210] of patients with frailty versus 74% [67,757 of 91,564] of patients without frailty; p < 0.01). Women comprised a larger portion of patients with frailty than patients without frailty (62% [10,050 of 16,210] women with frailty versus 53% [48,528 of 91,564] women without frailty; p < 0.01). Patients paying with Medicare comprised a larger portion of patients with frailty than patients without frailty (80% [12,968 of 16,210] Medicare payers with frailty versus 72% [65,926 of 91,564] Medicare payers without frailty; p < 0.01). We used the Student t-test to compare demographics and complication risk. After analysis of these confounders and controlling for them, we used multivariate logistic regression to analyze 30-day readmissions and negative binomial regression to analyze length of stay and hospital costs (as estimated by insurance charge-to-cost ratios per patient admission). Length of stay was expressed as an incidence rate ratio (IRR) because it was recorded and analyzed as a continuous variable. The Student t-test was used to compare demographics and risk of major surgical and medical complications of similar severity.
After controlling for confounding variables such as age, gender, socioeconomic status, and insurance provider, we found that frailty was associated with increased odds of reoperation within 30 days (OR 1.61 [95% CI 1.22 to 2.09]; p < 0.001) and increased 30-day readmissions (OR 1.79 [95% CI 1.63 to 1.97]; p < 0.001). We also found that frailty was associated with higher 30-day major surgical complication risk (0.4% [70 of 16,210] versus 0.3% [266 of 91,564]; p < 0.01) and 30-day major medical complication risk (2.6% [421 of 16,210] versus 1.1% [1007 of 91,564]; p < 0.01). We also found that frailty was associated with greater hospitalization costs (IRR 1.09 [95% CI 1.09 to 1.10]; p < 0.001) and longer lengths of hospital stay (IRR 1.46 [95% CI 1.44 to 1.47]; p < 0.001).
Frailty, as measured by the HFRS, is associated with increased postoperative events and estimated hospitalizations costs after TSA. The HFRS is derived from routinely collected administrative data and could help clinicians quickly identify patients at risk of complications without increased cost. Once patients with frailty are identified, clinicians may be able to provide additional counseling regarding patients' increased risk for postoperative complications and costs. An automatically calculated, robust scoring tool such as the HFRS can also aid clinicians in operative decision-making, as patients with severe frailty may be advised against undergoing TSA if the procedure is not absolutely necessary.
Level III, therapeutic study.
衰弱与各种医疗状况和外科手术的并发症风险增加及治疗成本升高相关。改良衰弱指数通过分析五或六种合并症来帮助对患者的衰弱严重程度进行分级。经该指数认定为衰弱的患者在全肩关节置换术(TSA)后更易面临不良医疗和手术事件。然而,这些改良指数往往未考虑导致衰弱的不太常见的医疗状况。因此,我们认为患者可能更容易被误诊为不存在衰弱。需要一个更全面的衰弱评分来更准确地在更广泛的患者群体中识别衰弱。
问题/目的:在分析年龄、性别、社会经济变量和保险提供商等混杂变量可能造成的差异后,我们提出以下问题:(1)以医院衰弱风险评分(HFRS)≥5分为定义的衰弱是否与初次TSA后30天内再次手术或再次入院的较高风险相关?(2)衰弱是否与TSA后重大医疗或手术并发症风险增加相关?(3)衰弱是否与TSA后患者的较高住院成本(通过每次入院的保险收费与成本比率评估)和住院时间相关?
本研究考察了全国再入院数据库,该数据库包含来自28个州的患者,占美国所有居民的60%以及所有美国住院病例的60%。我们确定了2017年1月至至2019年11月期间因原发性骨关节炎接受解剖型和反向TSA后出院的成年患者(每年12月接受TSA的患者被排除)。根据先前研究验证的109个加权不同的ICD - 10临床修正编码为每位患者计算HFRS。HFRS≥5分的患者被视为衰弱患者。在该数据库中记录的107,774例接受TSA的患者中,15%(16,210例)被归类为衰弱患者。65岁以上的患者在衰弱患者中所占比例高于非衰弱患者(衰弱患者中的81%[16,210例中的13,130例]对比非衰弱患者中的74%[91,564例中的67,757例];p<0.01)。女性在衰弱患者中所占比例高于非衰弱患者(衰弱女性患者中的62%[16,210例中的10,050例]对比非衰弱女性患者中的53%[91,564例中的48,528例];p<0.01)。使用医疗保险支付费用的患者在衰弱患者中所占比例高于非衰弱患者(衰弱的医疗保险支付者中的80%[16,210例中的12,968例]对比非衰弱的医疗保险支付者中的72%[91,564例中的65,926例];p<0.01)。我们使用学生t检验来比较人口统计学特征和并发症风险。在分析并控制这些混杂因素后,我们使用多变量逻辑回归分析30天再入院情况,并使用负二项回归分析住院时间和住院成本(通过每位患者入院的保险收费与成本比率估算)。住院时间以发病率比(IRR)表示,因为它作为连续变量进行记录和分析。使用学生t检验来比较人口统计学特征以及严重程度相似的重大手术和医疗并发症风险。
在控制年龄、性别、社会经济地位和保险提供商等混杂变量后,我们发现衰弱与30天内再次手术几率增加(OR 1.61[95%CI 1.22至至2.09];p<0.001)以及30天再入院率增加(OR 1.79[95%CI 1.63至至1.97];p<0.001)相关。我们还发现衰弱与30天重大手术并发症风险较高(0.4%[16,210例中的70例]对比0.3%[91,564例中的266例];p<0.01)以及30天重大医疗并发症风险较高(2.6%[16,210例中的421例]对比1.1%[91,564例中的1007例];p<0.01)相关。我们还发现衰弱与更高的住院成本(IRR 1.09[95%CI 1.09至至1.10];p<0.001)和更长的住院时间(IRR 1.46[95%CI 1.44至至1.47];p<0.001)相关。
通过HFRS衡量的衰弱与TSA术后事件增加及估计住院成本相关。HFRS源自常规收集的管理数据,可帮助临床医生在不增加成本的情况下快速识别有并发症风险的患者。一旦识别出衰弱患者,临床医生或许能够就患者术后并发症风险和成本增加提供额外咨询。像HFRS这样自动计算的、强大的评分工具也可帮助临床医生进行手术决策,因为如果手术并非绝对必要,对于严重衰弱的患者可能建议不进行TSA。
三级,治疗性研究。