Mortality among hip fracture patients infected with COVID-19 perioperatively

Postoperative pneumonia after femoral fracture surgery: an in-depth retrospective analysis

BACKGROUND

Femoral fractures significantly contribute to disability, predominantly in the elderly. Despite this, data on postoperative pneumonia following femoral fracture surgeries remains sparse. Our study sought to explore the incidence and impact of postoperative pneumonia on outcomes following such surgeries.

METHODS

A retrospective study analyzed femoral fracture patients hospitalized from 2016 to 2022. We scrutinized postoperative outcomes, including pneumonia, hospital stay duration, intensive care unit (ICU) admissions, and in-hospital mortality. We established stringent diagnostic criteria for postoperative pneumonia, incorporating both clinical signs and radiological evidence, excluding patients with prior infections or those discharged within 24 h post-surgery. Statistical analyses involved Chi-square and t-tests, linear regression, and logestic regression using SPSS.

RESULTS

Out of 636 patients, 10.8% were diagnosed with postoperative pneumonia. The average age was 79.55 ± 8.57 years, with a male prevalence of 47.8%. Common comorbidities were hypertension (78.3%), diabetes (60.9%), and cardiovascular diseases (40.6%). Surgical interventions were categorized as intramedullary nailing (40.6%), partial hip replacement (37.7%), and dynamic hip screw (21.7%). Postoperative pneumonia was associated with older age (AOR = 1.053, 95% CI 1.020 to 1.087, p = 0.002), ICU admission (AOR = 2.283, 95% CI 1.256 to 4.148, p = 0.007), and longer length of hospital stay (AOR = 1.079, 95% CI 1.030 to 1.130, p = 0.001). The presence of pneumonia was associated with a 2.621-day increase in hospitalization after adjusting for other variables (p < 0.001, 95% CI: 1.454 to 3.789).

CONCLUSION

This study accentuates the clinical significance of postoperative pneumonia in femoral fracture patients, with a noted incidence of 10.8%. A notable association with older age, prolonged hospital stays, and ICU admissions was observed, underscoring the necessity of addressing this complication to improve patient outcomes and healthcare resource allocation.

Effects of COVID-19 Status on Hip Fracture Surgical Outcomes: An ACS NSQIP Study

BACKGROUND

Studies have indicated that patients infected with the SARS-CoV-2 virus fare worse clinically after a traumatic injury, especially those who are older and have other comorbidities.

OBJECTIVE

This study aims to understand the effects of Corona Virus Disease 19 (COVID-19) diagnosis on patients undergoing surgery for hip fractures.

METHODS

This is a retrospective review of the 2021 American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) Targeted Hip Fracture database for patients who underwent surgery. Two cohorts were formed based on patients' preoperative COVID-19 status, as tested within 14 days prior to the operation. Several clinical factors were compared.

RESULTS

The COVID-positive cohort consisted of 184 patients, all of whom had a laboratory-confirmed or clinically suspected SARS-CoV-2 infection, while the COVID-negative cohort consisted of 12,211 patients with no infection. A lower proportion of COVID-positive patients had an emergent operation compared to the COVID-negative cohort (58.70% vs. 73.09%, p < .001). Preoperatively, the COVID-positive cohort showed higher rates of coagulopathy/bleeding disorders (22.83% vs. 14.12%), congestive heart failure (16.30% vs. 9.84%), diabetes mellitus (28.26% vs. 19.24%), and dementia (42.39% vs. 28.07%), with p ≤ .005 for all. Postoperatively, a higher proportion of COVID-positive patients died (9.78% vs. 5.40%) or had pneumonia (8.70% vs. 3.65%), hospital readmission within 30 days (10.87% vs. 6.76%), and pressure sores (8.15% vs. 4.55%), with p ≤ .033 for all.

CONCLUSION

The diagnosis of COVID-19 in hip fracture patients was associated with higher rates of postoperative complications, including mortality, when compared to COVID-negative patients, indicating the severity of the viral infection.

Risk prediction models of mortality after hip fracture surgery in older individuals: a systematic review

OBJECTIVE

This study aimed to critically assess existing risk prediction models for postoperative mortality in older individuals with hip fractures, with the objective of offering substantive insights for their clinical application.

DESIGN

A comprehensive search was conducted across prominent databases, including PubMed, Embase, Cochrane Library, SinoMed, CNKI, VIP, and Wanfang, spanning original articles in both Chinese and English up until 1 December 2023. Two researchers independently extracted pertinent research characteristics, such as predictors, model performance metrics, and modeling methodologies. Additionally, the bias risk and applicability of the incorporated risk prediction models were systematically evaluated using the Prediction Model Risk of Bias Assessment Tool (PROBAST).

RESULTS

Within the purview of this investigation, a total of 21 studies were identified, constituting 21 original risk prediction models. The discriminatory capacity of the included risk prediction models, as denoted by the minimum and maximum areas under the subject operating characteristic curve, ranged from 0.710 to 0.964. Noteworthy predictors, recurrent across various models, included age, sex, comorbidities, and nutritional status. However, among the models assessed through the PROBAST framework, only one was deemed to exhibit a low risk of bias. Beyond this assessment, the principal limitations observed in risk prediction models pertain to deficiencies in data analysis, encompassing insufficient sample size and suboptimal handling of missing data.

CONCLUSION

Subsequent research endeavors should adopt more stringent experimental designs and employ advanced statistical methodologies in the construction of risk prediction models. Moreover, large-scale external validation studies are warranted to rigorously assess the generalizability and clinical utility of existing models, thereby enhancing their relevance as valuable clinical references.

Endocrine Disorders and COVID-19

The multifaceted interaction between coronavirus disease 2019 (COVID-19) and the endocrine system has been a major area of scientific research over the past two years. While common endocrine/metabolic disorders such as obesity and diabetes have been recognized among significant risk factors for COVID-19 severity, several endocrine organs were identified to be targeted by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). New-onset endocrine disorders related to COVID-19 were reported while long-term effects, if any, are yet to be determined. Meanwhile, the "stay home" measures during the pandemic caused interruption in the care of patients with pre-existing endocrine disorders and may have impeded the diagnosis and treatment of new ones. This review aims to outline this complex interaction between COVID-19 and endocrine disorders by synthesizing the current scientific knowledge obtained from clinical and pathophysiological studies, and to emphasize considerations for future research.

Traumatic Proximal Femoral Fractures during COVID-19 Pandemic in the US: An ACS NSQIP® Analysis

In order to determine the impact of COVID-19 on the treatment and outcomes in patients with proximal femoral fracture’s (PFF), we analyzed a national US sample. This is a retrospective review of American College of Surgery’s (ACS) National Surgical Quality Improvement Program (NSQIP) for patients with proximal femoral fractures. A total of 26,830 and 26,300 patients sustaining PFF and undergoing surgical treatment were sampled during 2019 and 2020, respectively. On multivariable logistic regression, patients were less likely to have ‘presence of non-healing wound’ (p < 0.001), functional status ‘independent’ (p = 0.012), undergo surgical procedures of ‘hemiarthroplasty’(p = 0.002) and ‘ORIF IT, Peritroch, Subtroch with plates and screws’ (p < 0.001) and to be ‘alive at 30-days post-op’ (p = 0.001) in 2020 as compared to 2019. Patients were more likely to have a case status ‘emergent’, ‘loss of ≥10% body weight’, discharge destination of ‘home’ (p < 0.001 for each) or ‘leaving against medical advice’ (p = 0.026), postoperative ‘acute renal failure (ARF)’ (p = 0.011), ‘myocardial infarction (MI)’ (p = 0.006), ‘pulmonary embolism (PE)’ (p = 0.047), and ‘deep venous thrombosis (DVT)’ (p = 0.049) in 2020 as compared to 2019. Patients sustaining PFF and undergoing surgical treatment during pandemic year 2020 differed significantly in preoperative characteristics and 30-day postoperative complications when compared to patients from the previous year.