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

Achilles tendon rupture primary repair technique: A comparative retrospective study between graft versus no-graft

Introduction

Achilles tendon rupture is one of the most common musculoskeletal injuries and accounts to 20 % of all large tendon ruptures The surgical choice of a procedure might play a role in the incidence of postoperative complications. This study aimed to estimate and compare the incidence of complications occurring within a 30-day window following primary surgical repair of the Achilles tendon with or without a graft.

Methods

A retrospective cohort study was conducted using the ACS NSQIP database from 2005 to 2021. Patients were divided into 2 cohorts (primary surgical repair with and without graft).

Results

A total of 7010 patients were included in the analysis. Among the graft group, 10.9 % reported any complication which was double the percentage of complications in the no graft group. Only 3.8 % of the no graft patients had reported systemic complications compared to 8.3 % in the graft group. Chronic steroid use was found to be an effect modifier in the incidence of any complications after primary surgical repair when comparing graft versus no graft (P-value 0.016).

Conclusion

Surgical repairwith tendon graft develops more complications than repairing without graft. Therefore, it is imperative for physicians to strive for an early diagnosis, as any delay in treatment significantly raises the likelihood of complications.

Levels of evidence

III, Retrospective Cohort Study.

Association between admission albumin levels and 30-day readmission after hip fracture surgery in geriatric patients: a propensity score-matched study

PURPOSE

This study aimed to evaluate the correlation admission albumin levels and 30-day readmission after hip fracture surgery in geriatric patients.

METHODS

In this retrospective cohort study, 1270 geriatric patients admitted for hip fractures to a level I trauma center were included. Patients were stratified by clinical thresholds and albumin level quartiles. The association between admission albumin levels and 30-day readmission risk was assessed using multivariate logistic regression and propensity score-matched analyses. The predictive accuracy of albumin levels for readmission was evaluated by ROC curves. The dose-response relationship between albumin levels and readmission risk was examined.

RESULTS

The incidence of 30-day readmission was significantly higher among hypoalbuminemia patients than those with normal albumin levels (OR = 2.090, 95%CI:1.296-3.370, p = 0.003). Furthermore, propensity score-matched analyses demonstrated that patients in the Q2(35.0-37.9 g/L) (OR 0.621, 95%CI 0.370-1.041, p = 0.070), Q3(38.0-40.9 g/L) (OR 0.378, 95%CI 0.199-0.717, p < 0.001) and Q4 (≥ 41 g/L) (OR 0.465, 95%CI 0.211-0.859, p = 0.047) quartiles had a significantly lower risk of 30-day readmission compared to those in the Q1(< 35 g/L) quartile. These associations remained significant after propensity score matching (PSM) and subgroup analyses. Dose-response relationships between albumin levels and 30-day readmission were observed.

CONCLUSIONS

Lower admission albumin levels were independently associated with higher 30-day readmission rates in elderly hip fracture patients. Our findings indicate that serum albumin may assist perioperative risk assessment, and prompt correction of hypoalbuminemia and malnutrition could reduce short-term readmissions after hip fracture surgery in this high-risk population.

Seasonality Affects Elderly Hip Fracture Mortality Risk During the COVID-19 Pandemic

Background

The incidence of geriatric hip fractures, respiratory infections (e.g., coronavirus disease 2019 (COVID-19), influenza), and mortality is higher during the fall and winter. The purpose of this study is to assess whether the addition of seasonality to a validated geriatric inpatient mortality risk tool will improve the predictive capacity and risk stratification for geriatric hip fracture patients. We hypothesize that seasonality will improve the predictive capacity.

Methodology

Between October 2014 and August 2021, 2,421 patients >55-year-old treated for hip fracture were analyzed for demographics, date of presentation, COVID-19 status (for patients after February 2020), and mortality. Patients were grouped by season based on their admission dates into the following four cohorts: fall (September-November), winter (December-February), spring (March-May), and summer (June-August). Patients presenting during the fall/winter and spring/summer were compared. The baseline Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) tool for hip fractures (STTGMAHIP_FX_SCORE) and the seasonality iteration (STTGMA_SEASON) were also compared. Sub-analysis was conducted on 687 patients between February 2020 and August 2021 amid the COVID-19 pandemic. The baseline score (STTGMAHIP_FX_SCORE) and the COVID-19 iteration (STTGMACOVID_ORIGINAL_2020) were modified to include seasonality (STTGMA_COVID/SEASON). Patients were stratified by risk score and compared. The predictive ability of the models was compared using DeLong’s test.

Results

For the overall cohort, patients who presented during the fall/winter had a higher rate of inpatient mortality (2.87% vs. 1.25%, p < 0.01). STTGMA_SEASON improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE but not significantly (0.773 vs. 0.672, p = 0.105) On sub-analysis, regression weighting showed a coefficient of 0.643, with fall and winter having a greater absolute effect size (fall = 2.572, winter = 1.929, spring = 1.286, summer = 0.643). STTGMA_COVID/SEASON improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE (0.882 vs. 0.581, p < 0.01) and STTGMACOVID_ORIGINAL_2020 (0.882 vs. 0.805, p = 0.04). The highest risk quartile contained 89.5% of patients who expired during their index inpatient hospitalization (p < 0.01) and 68.2% of patients who died within 30 days of discharge (p < 0.01).

Conclusions

Seasonality may play a role in both the incidence and impact of COVID-19 and additional respiratory infections. Including seasonality improves the predictive capacity and risk stratification of the STTGMA tool during the COVID-19 pandemic. This allows for effective triage and closer surveillance of high-risk geriatric hip fracture patients by better accounting for the increased respiratory infection incidence and the associated mortality risk seen during fall and winter.