OBJECTIVE To characterize the relationship between stress and future risk of sepsis. We also evaluated the role of depression in this relationship. METHODS We used population-based data on 30,183 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, characterizing stress using the Perceived Stress Scale (PSS) and depressive symptoms using the Center for Epidemiologic Studies Depression Scale (CES-D). We identified incident sepsis events as hospitalizations for a serious infection with the presence of ≥2 SIRS criteria. We assessed associations between PSS and incidence of sepsis over one- and ten-years of follow-up, adjusting for demographics and chronic medical conditions and assessing the role of health behaviors and CES-D in these relationships. RESULTS During 2003–2012, 1,500 participants experienced an episode of sepsis. Mean PSS and CES-D scores were 3.2±2.9 and 1.2±2.1. PSS was associated with increased one-year adjusted incidence of sepsis (HR 1.21 per PSS standard deviation; 95% CI: 1.06–1.38); multivariable adjustment for health behaviors and CES-D did not change this association (1.20; 1.20; 1.03–1.39). PSS was also associated with increased 10-year adjusted incidence of sepsis (HR 1.07 per PSS standard deviation; 95% CI: 1.02–1.13). Multivariable adjustment showed that health behaviors did not affect this long-term association whereas addition of CES-D reduced the association between PSS and sepsis during 10-year follow-up (HR 1.04; 0.98–1.11). CONCLUSIONS Increased stress was associated higher one-year adjusted incidence of sepsis, even after accounting for depressive symptoms. The association between stress and ten-year adjusted incidence of sepsis was also significant, but this association was reduced when adjusting for depressive symptoms. Reduction of stress may limit short-term sepsis risk.
Aims Traditionally, acetabular component insertion during total hip arthroplasty (THA) is visually assisted in the posterior approach and fluoroscopically assisted in the anterior approach. The present study examined the accuracy of a new surgeon during anterior (NSA) and posterior (NSP) THA using robotic arm-assisted technology compared to two experienced surgeons using traditional methods. Methods Prospectively collected data was reviewed for 120 patients at two institutions. Data were collected on the first 30 anterior approach and the first 30 posterior approach surgeries performed by a newly graduated arthroplasty surgeon (all using robotic arm-assisted technology) and was compared to standard THA by an experienced anterior (SSA) and posterior surgeon (SSP). Acetabular component inclination, version, and leg length were calculated postoperatively and differences calculated based on postoperative film measurement. Results Demographic data were similar between groups with the exception of BMI being lower in the NSA group (27.98 vs 25.2; p = 0.005). Operating time and total time in operating room (TTOR) was lower in the SSA (p < 0.001) and TTOR was higher in the NSP group (p = 0.014). Planned versus postoperative leg length discrepancy were similar among both anterior and posterior surgeries (p > 0.104). Planned versus postoperative abduction and anteversion were similar among the NSA and SSA (p > 0.425), whereas planned versus postoperative abduction and anteversion were lower in the NSP (p < 0.001). Outliers > 10 mm from planned leg length were present in one case of the SSP and NSP, with none in the anterior groups. There were no outliers > 10° in anterior or posterior for abduction in all surgeons. The SSP had six outliers > 10° in anteversion while the NSP had none (p = 0.004); the SSA had no outliers for anteversion while the NSA had one (p = 0.500). Conclusion Robotic arm-assisted technology allowed a newly trained surgeon to produce similarly accurate results and outcomes as experienced surgeons in anterior and posterior hip arthroplasty. Cite this article: Bone Jt Open 2021;2(6):365–370.
Background: Obesity is routinely cited as a negative predictive factor for outcomes after total knee arthroplasty (TKA), but the direct mechanism responsible for this relationship has not been described. One possible explanation is a propensity for component malalignment in obese patients that is attributable to difficulty with surgical exposure. Methods: This study evaluated the effect of obesity on TKA component alignment in 251 primary TKAs during a 12-month period at a single center in 2009. Postoperative component alignment was retrospectively measured and compared between patients defined as obese (body mass index [BMI] ≥30 kg/m 2) and patients defined as nonobese (BMI <30 kg/m 2). Alignment was determined by measuring the coronal tibiofemoral angle, coronal femoral component angle, coronal tibial component angle, sagittal femoral component angle, and sagittal tibial component angle in all of the study patients. Results: Statistical analysis failed to demonstrate a statistically significant relationship between obesity and component alignment in any of the measured parameters. Conclusion: The results of this study support that obesity does not negatively affect TKA component alignment; another factor must be associated with the worse outcomes in obese patients undergoing TKA.
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