| Literature DB >> 32923557 |
Christian Gronbeck1, Antonio Cusano2, Justin M Cardenas3, Melvyn A Harrington3, Mohamad J Halawi3.
Abstract
BACKGROUND: This study explored recent time trends in length of stay (LOS), 30-day outcomes, and risk factors for adverse events (AEs) pertaining to total hip arthroplasty in the Hispanic and Latino population.Entities:
Keywords: Hip arthroplasty; Hispanic and Latino; Outcomes; Risk factors
Year: 2020 PMID: 32923557 PMCID: PMC7475048 DOI: 10.1016/j.artd.2020.07.035
Source DB: PubMed Journal: Arthroplast Today ISSN: 2352-3441
Time trends in baseline and perioperative characteristics of the study cohort.
| Variable | 2011-2013 | 2014-2015 | 2016-2017 | |
|---|---|---|---|---|
| N = 4107 | 973 | 1352 | 1782 | – |
| Demographic characteristics | ||||
| Age (y) | 61.0 ± 13.2 | 59.8 ± 12.9 | 59.5 ± 13.0 | |
| Sex | ||||
| Female | 532 (54.7%) | 688 (50.9%) | 902 (50.6%) | |
| Male | 441 (45.3%) | 664 (49.1%) | 880 (49.4%) | |
| Body mass index (kg/m2) | 30.5 ± 6.0 | 30.8 ± 5.8 | 31.0 ± 6.0 | |
| Current smoker | 144 (14.8%) | 174 (12.9%) | 235 (13.2%) | .423 |
| Chronic steroid use | 51 (5.2%) | 83 (6.1%) | 84 (4.7%) | .238 |
| ASA classification | 2.4 ± 0.6 | 2.4 ± 0.6 | 2.4 ± 0.6 | .1993 |
| Functional status | .139 | |||
| Independent | 922 (95.8%) | 1308 (97.6%) | 1729 (97.2%) | |
| Partially or completely dependent | 40 (4.2%) | 32 (2.4%) | 49 (2.8%) | |
| Preoperative living environment | .108 | |||
| Admitted directly from home | 971 (99.8%) | 1348 (99.7%) | 1776 (99.7%) | |
| Admitted from a facility | 2 (0.2%) | 4 (0.3%) | 5 (0.3%) | |
| Comorbidity characteristics | ||||
| Diabetes | 163 (16.8%) | 237 (17.5%) | 296 (16.6%) | .592 |
| Hypertension | 535 (55.0%) | 740 (54.7%) | 887 (49.8%) | |
| Chronic obstructive pulmonary disease | 29 (3.0%) | 40 (3.0%) | 42 (2.4%) | .373 |
| Chronic heart failure | 3 (0.3%) | 4 (0.3%) | 1 (0.1%) | .313 |
| Anemia | 268 (28.6%) | 284 (22.0%) | 314 (18.5%) | |
| Metastatic cancer | 1 (0.1%) | 3 (0.2%) | 2 (0.1%) | .938 |
| Bleeding disorder | 20 (2.1%) | 26 (1.9%) | 28 (1.6%) | .489 |
| Dyspnea | 32 (3.3%) | 33 (2.4%) | 50 (2.8%) | |
| Ascites | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | – |
| Chronic kidney disease | 21 (2.3%) | 38 (3.0%) | 41 (2.5%) | .789 |
| Perioperative characteristics | ||||
| Diagnosis | ||||
| Primary osteoarthritis | 835 (85.8%) | 1183 (87.5%) | 1558 (87.4%) | |
| Inflammatory arthritis | 20 (2.1%) | 12 (0.9%) | 22 (1.2%) | |
| Post-traumatic arthritis | 6 (0.6%) | 10 (0.7%) | 26 (1.5%) | |
| Childhood dysplasia | 19 (2.0%) | 17 (1.3%) | 34 (1.9%) | |
| Osteonecrosis | 93 (9.6%) | 130 (9.6%) | 142 (8.0%) | |
| Bilateral procedure | 3 (0.3%) | 7 (0.5%) | 18 (1.0%) | .355 |
| Procedure length (min) > 100 | 424 (43.6%) | 577 (42.7%) | 717 (40.2%) |
Values are presented as the mean and standard deviation (continuous variables) or as the frequency and percentage (nominal variables). For nominal variables, overall P–values are obtained from the chi-squared test. For continuous variables, overall P values are obtained from an overall F-test of one-way analysis of variance (ANOVA). For simplicity, data are presented in time-period cohorts; however, all analyses were performed across each individual year. Significant values are in bold and defined as P < .05.
Time trends in 30-d measures of the study cohort.
| Outcome | 2011-2013 | 2014-2015 | 2016-2017 | |
|---|---|---|---|---|
| Mortality | 1 (0.1%) | 1 (0.1%) | 3 (0.2%) | .672 |
| Readmission | 24 (3.2%) | 60 (4.5%) | 49 (2.8%) | .415 |
| Reoperation | 12 (1.2%) | 30 (2.2%) | 24 (1.3%) | .620 |
| Inpatient stay (>2 d) | 658 (67.6%) | 646 (47.9%) | 526 (29.5%) | |
| Any complication | 23 (2.4%) | 42 (3.1%) | 33 (1.9%) | .103 |
| Any surgical complication | 13 (1.3%) | 34 (2.5%) | 24 (1.4%) | .628 |
| Wound infection | 7 (0.7%) | 17 (1.3%) | 11 (0.6%) | .622 |
| Reintubation | 2 (0.2%) | 1 (0.1%) | 1 (0.1%) | .226 |
| Ventilator >48 h | 1 (0.1%) | 0 (0.0%) | 0 (0.0%) | .216 |
| Pulmonary embolism | 4 (0.4%) | 8 (0.6%) | 8 (0.5%) | .728 |
| Deep vein thrombosis | 3 (0.3%) | 11 (0.8%) | 7 (0.4%) | .703 |
| Any medical complication | 11 (1.1%) | 11 (0.8%) | 12 (0.7%) | .064 |
| Sepsis or septic shock | 6 (0.6%) | 4 (0.3%) | 3 (0.2%) | |
| Cardiac arrest | 0 (0.0%) | 5 (0.1%) | 6 (0.1%) | .913 |
| Myocardial infarction | 3 (0.3%) | 2 (0.2%) | 1 (0.1%) | |
| Stroke | 0 (0.0%) | 0 (0.0%) | 4 (0.2%) | .098 |
| Acute renal insufficiency | 0 (0.0%) | 2 (0.2%) | 1 (0.1%) | .893 |
| Pneumonia | 3 (0.3%) | 3 (0.2%) | 4 (0.2%) | .414 |
| Urinary tract infection | 0 (0.0%) | 0 (0.0%) | 4 (0.2%) | .098 |
Values are presented as the frequency and percentage (nominal variables). Overall P values are determined from a univariate mixed-effect logistic regression, which included an ordinal time variable for admission year. For simplicity, data are presented in time-period cohorts; however, all analyses were performed across each individual year. Significant values are in bold and defined as P < .05.
Figure 1Multivariate logistic regression analysis for development of a 30-d postoperative event. A multivariate logistic regression was used to yield odds ratios for development of a postsurgical event, defined as any combination of a medical complication, surgical complication, mortality, readmission, or reoperation. Patient factors previously demonstrating (P < .05) or approaching significance (P < .10) between the patient groups (Table 1) were controlled for in the regression analysis. Continuous variables (age, BMI, ASA score) were converted to nominal variables based on Youden’s index so as to maximize the discriminative capacity of the cutoff value. BMI, body mass index.