Does early surgery prevent Postoperative ICU admission after surgery for the fracture of the hip. Nested case control study of 911 patients.

INTRODUCTION: Since most hip fractures are treated surgically, it is imperative to find an optimum fracture-to-surgery time to decrease the potential complications and enhance postoperative outcomes. In comparison to the vast plethora of literature available on surgical delay and its implications on mortality, very little, if any, research is available on the impact of delayed surgery on postoperative ICU admission. The primary objective of our study is to examine the factors influencing post-surgical ICU admission in order to work on preventive strategies to reduce the potential associated morbidity. MATERIAL AND METHODS: Investigators did a nested case control study in a university hospital. A case was defined as a patient who had postoperative ICU admission while controls were patients who did not have postoperative ICU admission after hip fracture surgery. The primary outcome variable was postoperative ICU admission. The exposure variable was defined as the time to surgery which was categorized into two categories; early and late; the early surgery included patients who were operated within ≤ 48 h and the late included patients who had their surgery >48 h. Information on potential confounders including age, type of the procedure and comorbidities were also obtained. Result reported in-line with STROCSS criteria. RESULTS: A total cohort of 1084 hip fracture surgeries were performed from January 2010 to December 2018. After screening for eligibility criteria, 911 patients were eligible for the final simple logistic regression analysis (48 cases and 863 controls). Our exposure variable i.e. time from admission to surgery showed no difference between cases and controls. The odds of being treated with Hemiarthroplasty among cases admitted in ICU was 2.42 times as compared to controls (aOR = 2.42; 95% C.I. 1.21-4.86). CONCLUSION: Our study did not find an association between surgical delay and post-operative ICU admission after accounting for other covariates and potential confounders.

Charlson comorbidity index predicts postoperative complications in surgically treated hip fracture patients in a tertiary care hospital: Retrospective cohort of 1045 patients.

INTRODUCTION: Hip fractures are of major concern due to the aging population worldwide. Surgery on this vulnerable population carries high risk. Charlson comorbidity index (CCI), has been reported to predict the mortality in these patients. Investigators in this study aimed at studying the prediction effect of CCI on hip fracture surgery complications after controlling other patents' and procedures' related factors. METHODOLOGY: We conducted a retrospective cohort of 1045 patients with hip fractures who were treated surgically at our tertiary care and level 1 trauma Center between 2010 and 2018. Primary exposure was CCI and primary outcome was in-hospital and 30 days postoperative complications (major and minor). Cox proportional algorithm analysis was done at univariate and multivariable levels to report Crude Relative Risk (RR) and Adjusted Relative Risk (aRR), respectively. Results were reported in line with STROBE criteria. RESULTS: Exposed group included 867 (83%) of patients with 340 (39%) males. Postoperative complications occurred in 449 (43%) of the patients in exposed group with (62) 6% patients admitted in ICU postoperatively. At multivariable model, CCI was significantly associated with postoperative complications; patients with moderate-severe systemic diseases were 1.45 times (95% CI: 1.05-1.99) at risk of developing postoperative complications as compared to patients with low CCI scores after controlling for other variables in the model. Other significant factors included ASA status and postoperative ICU admission. CONCLUSION: CCI can be a good predictor independent variable of postoperative complications after hip fracture surgery. These patients need extra care and counseling to reach an informed decision keeping in mind the benefits versus risks of surgery. We recommend multi-center studies for corroboration.

Do new trainees pose a threat to postoperative complications after hip fracture surgeries? Retrospective cohort of 1045 patients over a decade at a university hospital.

INTRODUCTION: Induction of new residents and surgical trainees in most institutes occurs once a year. Fresh residents with no experience, may pose a threat to the surgical procedure outcome and there can be a potential increase in patients' morbidity and mortality as a result of this turnover. Literature is inconclusive about this effect. Our aim was to study the "new residents' induction effect" on postoperative complications after hip fracture surgeries. METHODOLOGY: This is non funded non commercialized study from a university hospital. Investigators studied a retrospective cohort of 1045 adult hip fracture patients who were operated at our tertiary care and level 1 trauma centre of a metropolitan city between 2008 and 2018. We defined primary exposure as the time period of new resident's induction (January-March) with the primary outcome in-hospital and 30days postoperative complications. Cox proportional hazard algorithm analysis was done at univariate and multivariable levels reporting Crude Relative Risk (RR) and Adjusted Relative Risk (aRR), respectively. Results were reported in line with STROBE criteria. RESULTS: There were 274 (26%) patients in exposed group out of whom 109 (40%) developed postoperative complications. Interestingly, patients who had their surgeries during the induction period of new residents had 8% less risk of developing postoperative complications. However, result was statistically insignificant at both univariate and multivariable levels with RR; 95% C.I of 0.9 (0.78-1.22) and aRR; 95% C.I of 0.9 (0.78-1.22) after adjusting for the all other independent variables. CONCLUSION: The association of new residents' induction on postoperative hip fracture surgery complications, although protective, was insignificant after controlling for the potential confounding effect of patients' background and demographic characteristics. We recommend further multi-centre high powered studies to analyze this.

Seasonal influence on postoperative hip fracture complications: Retrospective cohort of more than 1000 patients from a tertiary-care university hospital.

BACKGROUND: Hip fractures account for one of the most debilitating conditions affecting the general population amongst the developed and developing nations. Investigators aimed to study the influence of the ongoing season i.e. whether patients operated upon in summer or winter, on post-operative complications occurring within 30 days of surgical procedure for hip fractures at a tertiary care hospital and level 1 trauma center. MATERIALS AND METHODS: Investigators conducted a non-funded, non-commercialized retrospective cohort of 1045 patients with hip fractures managed surgically. Primary exposure was surgical procedures undertaken during the summer months (April-September). Our primary outcome was determining post-operative complication rates from January 2010 to December 2018 and evaluating impact of the season through univariate and multivariable regression analyses using Cox Proportional Hazard Algorithm with STATA V15. The work has been reported in line with the STROCSS criteria. RESULTS: Age, ASA status, type of procedure, mechanism of injury and Charlson Comorbidity Index (CCI) were identified as significant associated factors with postoperative complications after hip fracture surgery. Although overall results revealed a rising rate of complications during the summer season with a relative risk (RR; 95% CI) of 1.1(0.89-1.32), univariate and multivariable analysis did not show any significant correlations. CONCLUSIONS: The results of this study did not demonstrate a significant seasonal variability in the rate of postoperative complications for hip fracture patients operated upon during the hot months of summer. More research is required to analyze postoperative complications in order to optimize patients' outcomes.