Incidence and predictive risk factors of postoperative sepsis in orthopedic trauma patients

Complete Blood Count and Monocyte Distribution Width-Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

BACKGROUND

Sepsis is an organ dysfunction caused by a dysregulated host response to infection. Early detection is fundamental to improving the patient outcome. Laboratory medicine can play a crucial role by providing biomarkers whose alteration can be detected before the onset of clinical signs and symptoms. In particular, the relevance of monocyte distribution width (MDW) as a sepsis biomarker has emerged in the previous decade. However, despite encouraging results, MDW has poor sensitivity and positive predictive value when compared to other biomarkers.

OBJECTIVE

This study aims to investigate the use of machine learning (ML) to overcome the limitations mentioned earlier by combining different parameters and therefore improving sepsis detection. However, making ML models function in clinical practice may be problematic, as their performance may suffer when deployed in contexts other than the research environment. In fact, even widely used commercially available models have been demonstrated to generalize poorly in out-of-distribution scenarios.

METHODS

In this multicentric study, we developed ML models whose intended use is the early detection of sepsis on the basis of MDW and complete blood count parameters. In total, data from 6 patient cohorts (encompassing 5344 patients) collected at 5 different Italian hospitals were used to train and externally validate ML models. The models were trained on a patient cohort encompassing patients enrolled at the emergency department, and it was externally validated on 5 different cohorts encompassing patients enrolled at both the emergency department and the intensive care unit. The cohorts were selected to exhibit a variety of data distribution shifts compared to the training set, including label, covariate, and missing data shifts, enabling a conservative validation of the developed models. To improve generalizability and robustness to different types of distribution shifts, the developed ML models combine traditional methodologies with advanced techniques inspired by controllable artificial intelligence (AI), namely cautious classification, which gives the ML models the ability to abstain from making predictions, and explainable AI, which provides health operators with useful information about the models' functioning.

RESULTS

The developed models achieved good performance on the internal validation (area under the receiver operating characteristic curve between 0.91 and 0.98), as well as consistent generalization performance across the external validation datasets (area under the receiver operating characteristic curve between 0.75 and 0.95), outperforming baseline biomarkers and state-of-the-art ML models for sepsis detection. Controllable AI techniques were further able to improve performance and were used to derive an interpretable set of diagnostic rules.

CONCLUSIONS

Our findings demonstrate how controllable AI approaches based on complete blood count and MDW may be used for the early detection of sepsis while also demonstrating how the proposed methodology can be used to develop ML models that are more resistant to different types of data distribution shifts.

Identifying predictors of nosocomial pneumonia in trauma patients admitted to a level-1 trauma center

BACKGROUND

Nosocomial pneumonia is common in trauma patients and associated with an adverse prognosis. We recently externally validated and recalibrated an existing formula to predict nosocomial pneumonia risk. Identifying more potential predictors could aid in a more accurate prediction of nosocomial pneumonia risk in level-1 trauma patients. This study aims to identify predictors of nosocomial pneumonia in level-1 trauma patients available in the emergency department or shortly after, and examine their added predictive value to an existing prediction model by Croce.

METHODS

This retrospective cohort study included all consecutive trauma patients (≥ 16 years) admitted for > 24 h to our level-1 trauma center in 2017. Excluded were patients with active infection upon admission, transfer from another hospital, or in-hospital mortality < 48 h. Multiple imputations were used for missing values. Multivariable logistic regression analysis and Ridge penalization were performed to assess the association of predictors with nosocomial pneumonia and evaluate predictor stability. The predictive performance in addition to the existing prediction model was evaluated as well.

RESULTS

The study included 809 patients [median age 51 (IQR 32-68) years, 66.9% male, median ISS 10 (5-17), median GCS score 15 (14-15)]. Pneumonia incidence was 10.6% (n = 86). Age (OR 1.03 per year), ISS (OR 1.10 per point), GCS score (OR 0.91 per point), pulmonary contusion (OR 2.77), male sex (OR 1.36), hypertension (OR 1.86), diabetes (OR 1.20), number of rib fractures (OR 1.05 per fractured rib), and thoracic spine fracture (OR 1.51) were found to be predictors of nosocomial pneumonia. All variables showed added predictive value in addition to the existing model.

CONCLUSION

Patient history, injury severity, thoracic trauma, and traumatic brain injury are essential components of nosocomial pneumonia prediction and add to the predictive value of an existing model. Our results further build a basis for more accurate prediction.

LEVEL OF EVIDENCE

Level III, prognostic/epidemiological.

Is there an optimal perioperative risk assessment tool for older adult ankle fractures?

OBJECTIVE

To measure the predictive value of three perioperative risk assessment tools (National Surgical Quality Improvement Program-NSQIP, Modified 5-factor Frailty Index-mFI-5, and Score for Trauma Triage in Geriatric and Middle Aged-STTGMA) in predicting postoperative complications in older adult ankle fractures.

MATERIALS AND METHODS

This is a retrospective study of surgically treated isolated older adult ankle fractures at an academic center between 2007 and 2022. Exclusion criteria included age < 55 years, presence of pathologic fractures, and having multiple orthopaedic injuries. Patient sociodemographic information, injury characteristics, clinical outcomes, and complications were obtained. Data was entered into the NSQIP, mFI-5, and STTGMA calculators. Descriptive statistics and univariable logistic regression models were calculated for each outcome of interest. Area under the receiver operative curves (AUC) were determined as a measure of tool discrimination.

RESULTS

382 patients met inclusion criteria. The average age was 67 years, 33% were male, and 87% ambulated without assistive devices prior to injury. 23.6% of all patients had a complication: 12.8% had at least one minor complication, 15.7% had at least one major complication, and 2.4% had surgical complications. Mortality within 1 year of initial injury was 2.9%. NSQIP was the best predictor of any complication (AUC 0.74) compared to the mFI-5 (AUC 0.68), and STTGMA (AUC 0.72).

CONCLUSIONS

NSQIP performed better than mFI-5, STTGMA, and CCI for postoperative complications and mortality, but none of the perioperative risk assessment tools performed exceptionally well in the context of isolated older adult ankle fractures.

Predictors of sepsis in trauma patients: a National Trauma Data Bank analysis

Background

Trauma remains a global health issue being one of the leading causes of death worldwide. Sepsis and infections are common complications contributing to mortality, emphasizing the need to understand factors leading to such complications following trauma.

Aim

This study aimed to identify risk factors associated with post-trauma sepsis using data from the National Trauma Data Bank (NTDB).

Methods

Using the 2017 National Trauma Data Bank (NTDB), this is a retrospective case-control study that looked at pre-hospital and in-hospital patient data. Trauma patients aged over 15 years presenting to the emergency department (ED) and admitted to a tertiary care center were included. The primary outcome assessed was the development of sepsis post-trauma. Logistic regression analysis was used to identify risk factors, considering patient demographics, injury characteristics, and clinical variables.

Results

Among 997,970 trauma patients in the 2017 NTDB, 296,974 were excluded, leaving 700,996 patients for analysis, with 2,297 developing sepsis. Patients who developed sepsis were older than those who did not develop sepsis (mean age 57.57 vs. 53.42 years, p-value<0.001) and predominantly white males. Risk factors associated with sepsis development included: respiratory intubation with mechanical ventilation (OR = 11.99; 95% CI = 10.66-13.48), blood transfusion administration (OR = 2.03; 95% CI = 1.83-2.25), Injury Severity Score (ISS) ≥ 16 (OR = 1.69; 95% CI = 1.51-1.89), chronic obstructive pulmonary disease (COPD) (OR = 1.65; 95% CI = 1.44-1.89), diabetes mellitus (DM) (OR = 1.41; 95% CI = 1.26-1.58), male sex (OR = 1.42; 95% CI = 1.28-1.57), hypertension (HTN) (OR = 1.30; 95% CI = 1.16-1.45), anticoagulation therapy (OR = 1.21; 95% CI = 1.05-1.39), older age (OR = 1.02; 95% CI = 1.01-1.02), and current smoking status (OR = 1.18; 95% CI = 1.06-1.32).

Conclusion

This study identified key risk factors for post-trauma sepsis. Recognition of preexisting conditions and injury severity is crucial in trauma patient management to mitigate septic complications. Early identification of at-risk patients could facilitate timely interventions and potentially reduce mortality rates in trauma care settings.

Antimicrobials in Orthopedic Infections: Overview of Clinical Perspective and Microbial Resistance

Orthopedic infections are challenging pathologies that impose a heavy burden on patients and the healthcare system. Antimicrobial therapy is a critical component of the successful management of orthopedic infections, but its effectiveness depends on patient-, surgery-, drug-, and hospital-related factors. The dramatic increase in the emergence of multidrug-resistant microbial strains necessitates new clinical approaches in order to prevent or limit this phenomenon and to ensure a favorable therapeutic outcome. The present paper reviews the currently available antimicrobial strategies in the management of orthopedic infections, highlighting their clinical use related to the occurrence of microbial resistance. Some approaches for reducing antibiotic resistance emergence in orthopedics are also presented. The use of antibiotics tailored to the microorganism's sensitivity profile, patient factors, and pharmacokinetic profile in terms of monotherapy or combinations, the understanding of microbial pathogenicity and resistance patterns, strict control measures in healthcare facilities, the development of new antimicrobial therapies (drugs, devices, technologies), and patient education for improving compliance and tolerance are some of the most important tools for overcoming microbial resistance.

Liver Disease Increases the Risk of Postoperative Complications in Patients Undergoing Aseptic Revision Total Hip and Knee Arthroplasty

Background

Due to the multiorgan effects of liver disease, surgical patients with liver disease have an increased risk of perioperative complications. With revision total hip and knee arthroplasty surgeries increasing, it is important to determine the effects of liver disease in this patient population. The purpose of this study was to evaluate the impact of underlying liver disease on postoperative outcomes following revision total joint arthroplasty (TJA).

Methods

The National Surgical Quality Improvement Program database was used to identify patients undergoing aseptic revision TJA from 2006-2019 and group them based on liver disease. The presence of liver disease was assessed by calculating the Model for End-Stage Liver Disease-Sodium score. Patients with a Model for End-Stage Liver Disease-Sodium score of > 10 were classified as having underlying liver disease. In this analysis, differences in demographics, comorbidities, and postoperative complications were assessed.

Results

Of 7102 patients undergoing revision total hip arthroplasty, 11.6% of the patients had liver disease. Of 8378 patients undergoing revision total knee arthroplasty, 8.4% of the patients had liver disease. Following adjustment on multivariable regression analysis, patients with liver disease undergoing revision total hip arthroplasty or revision total knee arthroplasty had an increased risk of major complications, wound complications, septic complications, bleeding requiring transfusion, extended length of stay, and readmission compared to those without liver disease.

Conclusions

Patients with liver disease have an increased risk of complications following revision TJA. A multidisciplinary team approach should be employed for preoperative optimization and postoperative management of these vulnerable patients to improve outcomes and decrease the incidence and severity of complications.

Level of evidence

This is retrospective cohort study and is level 3 evidence.

NSQIP data collection up to 30 postoperative days is sufficient to capture some complications in orthopedic surgeries

PURPOSE

The primary aim of this study is to determine if the 30-day follow-up period used by the National Surgical Quality Improvement Program (NSIQP) is an appropriate timeframe to capture complications after orthopedic surgeries.

METHODS

The 2019 NSQIP data were used. The independent variables were complication type. The dependent variable was days to complication. A Shapiro-Wilk test was used to determine if the data were normally distributed.

RESULTS

271,397 orthopedic cases were included. Myocardial infarction, pneumonia, ventilator over 48 h, progressive renal insufficiency, acute renal failure, stroke, and cardiac arrest had positive skewness and positive kurtosis. Deep incisional surgical site infection (SSI), organ/space SSI, wound disruption, unplanned reoperation one, unplanned reoperation two, readmission two, and readmission three had negative kurtosis and negative skewness. Complications with positive kurtosis and positive skewness are more likely to be confined to the 30-day postoperative period, whereas complications with negative skewness and negative kurtosis may be underreported within the 30-day follow-up.

CONCLUSIONS

These findings are useful in their ability to inform future orthopedic research using NSQIP which continues to generate new data for surgeons to consider for their postoperative care and complication management.

Trauma diagnostic-related target proteins and their detection techniques

Trauma is a significant health issue that not only leads to immediate death in many cases but also causes severe complications, such as sepsis, thrombosis, haemorrhage, acute respiratory distress syndrome and traumatic brain injury, among trauma patients. Target protein identification technology is a vital technique in the field of biomedical research, enabling the study of biomolecular interactions, drug discovery and disease treatment. It plays a crucial role in identifying key protein targets associated with specific diseases or biological processes, facilitating further research, drug design and the development of treatment strategies. The application of target protein technology in biomarker detection enables the timely identification of newly emerging infections and complications in trauma patients, facilitating expeditious medical interventions and leading to reduced post-trauma mortality rates and improved patient prognoses. This review provides an overview of the current applications of target protein identification technology in trauma-related complications and provides a brief overview of the current target protein identification technology, with the aim of reducing post-trauma mortality, improving diagnostic efficiency and prognostic outcomes for patients.

Improving Statewide Post-Operative Sepsis Performance Measurement Using Hospital Risk Adjustment Within a Surgical Collaborative

Background: The Georgia Quality Improvement Program (GQIP) surgical collaborative participating hospitals have shown consistently poor performance in the post-operative sepsis category of National Surgical Quality Improvement Program data as compared with national benchmarks. We aimed to compare crude versus risk-adjusted post-operative sepsis rankings to determine high and low performers amongst GQIP hospitals. Patients and Methods: The cohort included intra-abdominal general surgery patients across 10 collaborative hospitals from 2015 to 2020. The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) sepsis definition was used among all hospitals for case abstraction and NSQIP data were utilized to train and validate a multivariable risk-adjustment model with post-operative sepsis as the outcome. This model was used to rank GQIP hospitals by risk-adjusted post-operative sepsis rates. Rankings between crude and risk-adjusted post-operative sepsis rankings were compared ordinally and for changes in tertile. Results: The study included 20,314 patients with 595 cases of post-operative sepsis. Crude 30-day post-operative sepsis risk among hospitals ranged from 0.81 to 5.11. When applying the risk-adjustment model which included: age, American Society of Anesthesiology class, case complexity, pre-operative pneumonia/urinary tract infection/surgical site infection, admission status, and wound class, nine of 10 hospitals were re-ranked and four hospitals changed performance tertiles. Conclusions: Inter-collaborative risk-adjusted post-operative sepsis rankings are important to present. These metrics benchmark collaborating hospitals, which facilitates best practice exchange from high to low performers.

Diabetes mellitus as a risk factor for postoperative complications following arthroscopic rotator cuff repair

Background

Patients with diabetes mellitus who undergo arthroscopic rotator cuff repair (aRCR) have an increased risk of postoperative complications when compared to nondiabetics. To further investigate these complications, we used a large national database to determine the 30-day postoperative complications associated with insulin-dependent and non-insulin-dependent diabetics following aRCR.

Methods

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients who underwent aRCR between 2015 and 2020. The study population was categorized into cohorts based on diabetes mellitus status: non-insulin-dependent diabetes mellitus (NIDDM), insulin-dependent diabetes mellitus (IDDM), and no diabetes. Multivariate analysis, adjusted for confounding demographics and comorbidities, was used to determine independently associated complications.

Results

There were 39,877 cases of aRCR in NQSIP included in this study. Diabetics comprised 6575 (16.7%) of these cases, with 4758 being NIDDM (11.9%) and 1817 being IDDM (4.6%). Bivariate logistic regression found both NIDDM and IDDM cohorts to be significantly associated with higher body mass index, ASA class ≥3, hypertension, chronic obstructive pulmonary disease, bleeding disorders, and preoperative wounds or infection (P < .001). NIDDM was an independently associated risk factor for sepsis (odds ratio [OR], 2.77; 95% confidence interval [CI]: 1.01-7.58; P = .047). IDDM was an independently associated risk factor for pneumonia (OR, 2.49; 95% CI: 1.13-5.48; P = .023), readmission (OR, 1.617; 95% CI: 1.19-2.33; P = .003), myocardial infarction (OR, 0.50; 95% CI: 0.12-1.00; P = .048), and on a ventilator >48 hours (OR, 5.63; 95% CI: 1.40-22.62; P = .015).

Conclusion

NIDDM is an independent risk factor for sepsis, while IDDM is an independent risk factor for pneumonia, readmission, myocardial infarction, and remaining on a ventilator for greater than 48 hours following aRCR.

Orthopaedic Surgery Complications at a Tertiary Care Hospital in a Low- and Middle-Income Country: A National Surgical Quality Improvement Project Analysis

BACKGROUND

Through a comparison of orthopaedic surgical procedures performed at a tertiary care hospital in Pakistan with other participating hospitals of National Surgical Quality Improvement Project (NSQIP), we aim to identify the areas of orthopaedic surgical care at our center that need improvement and also those which are at par with international standards.

METHODS

The study analyses orthopaedic surgeries at a tertiary care hospital in Pakistan using NSQIP registry to compare complication rates with other American College of Surgeons-NSQIP participant hospitals. Two reviewers collect data in different days every 8 days to reduce bias, and the results are reported in odds ratios using quarterly reports. This study included 584 eligible orthopaedic cases performed in 2021. Yearly institutional reports with odds ratios were also used to identify areas needing improvement and to implement changes to improve orthopaedic surgical outcomes at said institute.

RESULTS

The quarterly reports suggest a relatively higher OR for certain indicators such as cardiac events, surgical site infection, mortality, and morbidity throughout. The renal failure rate was very high in the third and fourth quarters with odds ratios of 4.57 and 10.31, respectively. However, the official NSQIP annual institutional report for 2021 identified sepsis, surgical site infections, and cardiac complications as areas 'needing improvement'. It also indicated that the hospital performed exemplarily when it came to venous thromboembolism (VTE). As for the rest of the indicators, the hospital fell in the 'as expected' category of the NSQIP standards.

CONCLUSION

This initial report helps the hospital's orthopaedic department in recognizing areas for improvement and making system-level changes to improve patient outcomes. The implementation of these interventions has yielded favorable outcomes, as evidenced by the findings in the NSQIP yearly report for 2022. Reinforcements and measures are needed to be taken to reduce the adverse events even further and to improve the patient outcomes and quality.

Timing of Complications Following Surgery for Distal Femur Fractures in Older Adults

Introduction

The purpose of this study was to identify the timing and nature of complications associated with distal femur fracture surgery in patients aged 65 and older using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database.

Methods

The ACS NSQIP database was queried for adults aged 65 and older who received surgical treatment for a distal femur fracture between 01 January 2015 and 31 December 2021. Cox regression models and risk tables adjusted for baseline clinical characteristics were created for 14 complications (Superficial Surgical Site Infection (SSI), Deep SSI, Organ/Space SSI, Pneumonia, Pulmonary Embolism (PE), Deep Venous Thrombosis (DVT), Urinary Tract Infection (UTI), Stroke/Cerebrovascular accident (CVA), Myocardial Infarction (MI), Renal Failure, Cardiac Arrest (CA), Re-operation, Sepsis, and Death within 30 days of surgery). Model summaries were used to identify significant variables with a Bonferroni correction applied.

Results

A total of 3956 adults met inclusion criteria and were included in analysis. The most common complications were UTI (5.2%), death (4.1%), and pneumonia (3.4%). Complications typically occurred within 14 days after surgery, except for SSI, which occurred between post-op days 11 and 24.

Conclusions

Distal femur fractures are a substantial source of morbidity and mortality in the older adult population. Our findings underscore the need for comprehensive preoperative risk assessment and patient management strategies to mitigate the impact of identified risk factors in this vulnerable population.

Postoperative sepsis and septic shock after hip fracture surgery

INTRODUCTION

There is a paucity of research in the rates for sepsis and septic shock in the hip fracture population specifically, despite marked clinical and prognostic differences between these conditions. The purpose of this study was to determine the incidence, risk factors, and mortality rates for sepsis and septic shock as well as evaluate potential infectious causes in the surgical hip fracture population.

METHODS

The ACS-NSQIP (2015-2019) was queried for patients who underwent hip fracture surgery. A backward elimination multivariate regression model was used to identify risk factors for sepsis and septic shock. Multivariate regression that controlled for preoperative variables and comorbidities was used to calculate the odds of 30-day mortality.

RESULTS

Of 86,438 patients included, 871 (1.0%) developed sepsis and 490 (0.6%) developed septic shock. Risk factors for both postoperative sepsis and septic shock were male gender, DM, COPD, dependent functional status, ASA class ≥3, anemia, and hypoalbuminemia. Unique risk factors for septic shock were CHF and ventilator dependence. The 30-day mortality rate was 4.8% in aseptic patients, 16.2% in patients with sepsis, and 40.8% in patients who developed septic shock (p < 0.001). Patients with sepsis (OR 2.87 [95% CI 2.37-3.48], p < 0.001) and septic shock (OR 11.27 [95% CI 9.26-13.72], p < 0.001) had increased odds of 30-day mortality compared to patients without postoperative septicemia. Infections that preceded a diagnosis of sepsis or septic shock included urinary tract infections (24.7%, 16.5%), pneumonia (17.6%, 30.8%), and surgical site infections (8.5%, 4.1%).

CONCLUSIONS

The incidence of sepsis and septic shock after hip fracture surgery was 1.0% and 0.6%, respectively. The 30-day mortality rate was 16.2% in patients with sepsis and 40.8% in patients with septic shock. Potentially modifiable risk factors for both sepsis and septic shock were anemia and hypoalbuminemia. Urinary tract infections, pneumonia, and surgical site infections preceded the majority of cases of sepsis and septic shock. Prevention, early identification, and successful treatment of sepsis and septic shock are paramount to lowering mortality after hip fracture surgery.

Incidence and risk factors for surgical site infection following volar locking plating (VLP) of unstable distal radius fracture (DRF)

PURPOSE

Volar locking plating (VLP) is the mainstay of treatment for distal radius fracture (DRF) but may be compromised by postoperative surgical site infection (SSI). This study aimed to identify the incidence and the risk factors for SSI following VLP of DRF.

METHODS

This retrospective study identified consecutive patients who underwent VLP for closed unstable DRFs in our institution between January 2015 and June 2021. Postoperative SSI was identified by inquiring the medical records, the follow-up records or the readmission medical records for treatment of SSI. The potential factors for SSI were extracted from the medical records. Univariate and multivariate logistic regression analyses were performed to identify the independent factors.

RESULTS

There were 930 patients included, and 34 had an SSI, representing an incidence of 3.7% (95% CI 2.4-4.9%). Patients with an SSI had threefold extended hospitalization stay (44.1 ± 38.2 versus 14.4 ± 12.5 days) as did those without. In univariate analysis, 18 variables were tested to be statistically different between SSI and non-SSI group. In multivariate analysis, 6 factors were identified as independently associated with SSI, including sex (male vs. female, OR 3.5, p = 0.014), ASA (III and IV vs. I, OR 3.2, p = 0.031), smoking (yes vs. no, OR 2.4, p = 0.015), bone grafting (OR 4.0, p = 0.007), surgeon volume (low vs. high, OR 2.7, p 0.011) and operation at night-time (vs. day-time, OR 7.8, p < 0.001).

CONCLUSION

The postoperative SSI of VLP of DRF was not uncommon, and the factors identified in this study, especially those modifiable, would help identify individual SSI risk, target clinical surveillance and inform patient counseling.

Cardiovascular parameters on computed tomography are independently associated with in-hospital complications and outcomes in level-1 trauma patients

Background

In-hospital complications after trauma may result in prolonged stays, higher costs, and adverse functional outcomes. Among reported risk factors for complications are pre-existing cardiopulmonary comorbidities. Objective and quick evaluation of cardiovascular risk would be beneficial for risk assessment in trauma patients. Studies in non-trauma patients suggested an independent association between cardiovascular abnormalities visible on routine computed tomography (CT) imaging and outcomes. However, whether this applies to trauma patients is unknown.

Purpose

To assess the association between cardiopulmonary abnormalities visible on routine CT images and the development of in-hospital complications in patients in a level-1 trauma center.

Methods

All trauma patients aged 16 years or older with CT imaging of the abdomen, thorax, or spine and admitted to the UMC Utrecht in 2017 were included. Patients with an active infection upon admission or severe neurological trauma were excluded. Routine trauma CT images were analyzed for visible abnormalities: pulmonary emphysema, coronary artery calcifications, and abdominal aorta calcification severity. Drug-treated complications were scored. The discharge condition was measured on the Glasgow Outcome Scale.

Results

In total, 433 patients (median age 50 years, 67% male, 89% ASA 1–2) were analyzed. Median Injury Severity Score and Glasgow Coma Scale score were 9 and 15, respectively. Seventy-six patients suffered from at least one complication, mostly pneumonia (n = 39, 9%) or delirium (n = 19, 4%). Left main coronary artery calcification was independently associated with the development of any complication (OR 3.9, 95% CI 1.7–8.9). An increasing number of calcified coronary arteries showed a trend toward an association with complications (p = 0.07) and was significantly associated with an adverse discharge condition (p = 0.02). Pulmonary emphysema and aortic calcifications were not associated with complications.

Conclusion

Coronary artery calcification, visible on routine CT imaging, is independently associated with in-hospital complications and an adverse discharge condition in level-1 trauma patients. The findings of this study may help to identify trauma patients quickly and objectively at risk for complications in an early stage without performing additional diagnostics or interventions.

Development of a Risk Stratification Scoring System to Predict General Surgical Complications for Patients Undergoing Foot and Ankle Surgery

Preventing postoperative complications is crucial for patients, surgeons, and health care facilities. We developed a risk stratification scoring system to optimize postoperative outcomes for patients undergoing foot and ankle surgery. A total of 35,580 patients who underwent foot and ankle procedures from 2005 to 2017 were identified as part of the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). To assess the risk of a postoperative complication, we identified several independent risk factors associated with 30-day postoperative complications, then proceeded to develop a point-based risk scoring system. To validate our scoring system, we used it on a cohort of patients from the database who underwent foot and ankle surgery. Risk factors that correlated with postoperative complications included tobacco abuse, age (≥65 years), diabetes mellitus, hypertension, elevated creatinine level (≥1.3 mg/dL), hypoalbuminemia (<3.5 g/dL), chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), hyponatremia (<135 mEq/L), and anemia (hematocrit value, men <42%; women <38%). Point scores for each factor were: anemia, +10; hypoalbuminemia, +9; elevated creatinine level, +6; CHF, +4; diabetes mellitus, +3; hyponatremia, +3; COPD, +2; hypertension, +2; age, +1; and tobacco abuse, +1. For the validation cohort, we stratified patients according to risk as low (0-20 points), medium (21-30 points), and high (≥31 points) risk. In terms of having a postoperative complication, compared with low-risk patients, patients who were at medium risk had an odds ratio of 4.7 (95% CI, 2.8-7.9) and those at high risk had an odds ratio of 8.3 (95% CI, 4.8-14.5). [Orthopedics. 2022;45(3):139-144.].

Cost of postoperative sepsis in Vietnam

Despite improvements in medical care, the burden of sepsis remains high. In this study, we evaluated the incremental cost associated with postoperative sepsis and the impact of postoperative sepsis on clinical outcomes among surgical patients in Vietnam. We used the national database that contained 1,241,893 surgical patients undergoing seven types of surgery. We controlled the balance between the groups of patients using propensity score matching method. Generalized gamma regression and logistic regression were utilized to estimate incremental cost, readmission, and reexamination associated with postoperative sepsis. The average incremental cost associated with postoperative sepsis was 724.1 USD (95% CI 553.7-891.7) for the 30 days after surgery, which is equivalent to 28.2% of the per capita GDP in Vietnam in 2018. The highest incremental cost was found in patients undergoing cardiothoracic surgery, at 2,897 USD (95% CI 530.7-5263.2). Postoperative sepsis increased patient odds of readmission (OR = 6.40; 95% CI 6.06-6.76), reexamination (OR = 1.67; 95% CI 1.58-1.76), and also associated with 4.9 days longer of hospital length of stay among surgical patients. Creating appropriate prevention strategies for postoperative sepsis is extremely important, not only to improve the quality of health care but also to save health financial resources each year.

Are Readmission and Reoperation Rates for Lower Extremity Necrotizing Fasciitis Different Between Patients With and Without Diabetes Mellitus?

Necrotizing fasciitis is a condition associated with high morbidity and mortality unless emergent surgery is performed. This study aims to understand the hospital course of diabetic and nondiabetic patients managed for lower-extremity necrotizing fasciitis by identifying factors contributing to readmissions and reoperations. About 562 patients treated for lower-extremity necrotizing fasciitis were selected from the American College of Surgeons-National Surgical Quality Improvement Program database between 2012 and 2017. The unplanned reoperation and readmission rates for all patients during the 30-day postoperative period were 9.4% and 5.3%, respectively. Out of 562 patients with lower-extremity necrotizing fasciitis, 326 (58.0%) patients had diabetes. Diabetes patients were more likely to undergo amputation (p < .00001). Neither readmission (6.1% vs 4.2%, p = .411) nor reoperation (8.6% vs 10.6%, p = .482) were significantly different between patients with and without diabetes. Neither readmission (7.2% vs 4.0%, p = .159) nor reoperation (4.1% vs 3.7%, p = .842) were significantly different between patients undergoing amputation and nonamputation procedures. In simple logistic regression, factors associated with unplanned reoperation included poorer renal function, thrombocytopenia, longer duration of surgery, longer hospital length of stay, postoperative surgical site infection, postoperative respiratory distress, and postoperative septic shock. Body mass index >30 kg/m² was associated with decreased odds of readmission. In multiple logistic regression, surgical site infection was the only predictor of reoperation (adjusted odds ratio 7.32, 95% confidence interval 2.76-19.1), and any amputation was associated with readmission (adjusted odds ratio 4.53, 95% confidence interval 1.20-29.6). Further study is needed to understand patient characteristics to better direct management. However, the current study elucidates patient outcomes for a relatively rare condition.

Sepsis in Trauma: A Deadly Complication

Sepsis is a major cause of death following a traumatic injury. As a life-threatening medical emergency, it is defined as the body's extreme response to an infection. Without timely treatment, sepsis can rapidly lead to tissue damage, and organ failure The capacity to limit tissue damage through metabolic adaptation and repair processes is associated with an excessive immune response of the host. It is important to make an early prediction of sepsis, based on the quick Sepsis associated Organ Failure Assessment Score (qSOFA), so an accurate treatment can be initiated reducing the morbidity and mortality at the emergency and UCI services. Many factors increase the rate of complications and the development of sepsis in a trauma patient, representing a challenge to orthopedic surgeons. Several early biomarkers that help to identify and predict the inflammatory and immune responses of the host going through polytrauma and sepsis have been studied; procalcitonin (PCT), C-reactive protein (CRP), glycosylated hemoglobin (HbA1c), the Neutrophil/lymphocyte ratio (NLR), Interleukin-17 (IL-17), Caspase-1, Vanin-1, High-density lipoproteins (HDL), and the Thrombin-activable fibrinolysis inhibitor (TAFI). Once sepsis is diagnosed, treatment must be immediately initiated with an appropriate empiric antimicrobial, an all-purpose supporting treatment, and metabolic control, followed by the specific antibiotic therapy based on blood culture. Since the participation of sepsis in polytrauma has been recognized as a key event in the outcome of patients at the ICU, the ability of the specialist to early recognize a septic process has become a key feature to reduce mortality and improve clinical prognosis.

Management of superficial and deep surgical site infection: an international multidisciplinary consensus

Surgical site infections represent a considerable burden for healthcare systems. To obtain a consensus on the impact and future clinical and economic needs regarding SSI management in an era of multidrug resistance. A modified Delphi method was used to obtain consensus among experts from five European countries. The Delphi questionnaire was assembled by a steering committee, verified by a panel of experts and administered to 90 experts in 8 different surgical specialities (Abdominal, Cancer, Cardiac, General surgery, Orthopaedic, Thoracic, Transplant and Vascular and three other specialities (infectious disease, internal medicine microbiology). Respondents (n = 52) reached consensus on 62/73 items including that resistant pathogens are an increasing matter of concern and increase both treatment complexity and the length of hospital stay. There was strong positive consensus on the cost-effectiveness of early discharge (ED) programs, improvement of quality of life with ED and association between increased length of stay and economic burden to the hospital. However, established ED protocols were not widely available in their hospitals. Respondents expressed a positive consensus on the usefulness of antibiotics that allow ED. Surgeons are aware of their responsibility in an interdisciplinary team for the treatment of SSI, and of the impact of multidrug-resistant bacteria in the context of SSI. Reducing the length of hospital stays by applying ED protocols and implementing new treatment alternatives is crucial to reduce harm to patients and costs for the hospital.

Early Outcomes After Surgical Management of Geriatric Patella Fractures

Objectives:

To report the incidence and risk factors for prolonged hospitalization, discharge to a facility, and postoperative complications in geriatric patients who underwent surgery for patella fracture.

Design:

Retrospective database review.

Setting:

The American College of Surgeons—National Surgical Quality Improvement Program (NSQIP) collects data from 600 hospitals across the United States.

Patients/Participants:

NSQIP patients over 65 years of age with patella fractures.

Intervention:

Surgical fixation of patella fracture including extensor mechanism repair.

Main Outcome Measurements:

Prolonged hospitalization, discharge to a facility, and 30-day post-operative complications.

Results:

1721 patients were included in the study. The average age was 74.9 years. 358 (20.8%) patients were male. 122 (7.1%) patients had a length of stay greater than 7 days. Factors associated with prolonged length of stay include pre-existing renal failure, need for emergent surgery, and time to surgery greater than 24 hours from admission. 640 patients (37.2%) of patients were discharged to a facility after surgery. Discharge to facility was associated with age >77 years, obesity, anemia, thrombocytopenia, pre-operative SIRS, and CCI > 0.5. Admission from home decreased the odds of discharge to a facility. The most common postoperative complications in this population were unplanned readmission (3.4%), unplanned reoperation (2.7%), surgical site infection (1.1%), mortality (1.0%), venous thromboembolism (0.8%), and wound dehiscence (0.2%). Complication rates increased with anemia and ASA class IV-V.

Conclusions:

Geriatric patients undergoing operative intervention for patella fractures are at high risk for prolonged hospitalization, discharge to facility, unplanned readmission or reoperation, and surgical site complications in the first 30 days following surgery. This study highlights modifiable and non-modifiable risk factors associated with adverse events. Early recognition of these factors can allow for close monitoring and multidisciplinary intervention in the perioperative period to improve outcomes.

Level of Evidence:

Prognostic level III.

Sepsis and septic shock after craniotomy: Predicting a significant patient safety and quality outcome measure

OBJECTIVES

Sepsis and septic shock are important quality and patient safety metrics. This study examines incidence of Sepsis and/or septic shock (S/SS) after craniotomy for tumor resection, one of the most common neurosurgical operations.

METHODS

Multicenter, prospectively collected data from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was used to identify patients undergoing craniotomy for tumor (CPT 61510, 61521, 61520, 61518, 61526, 61545, 61546, 61512, 61519, 61575) from 2012-2015. Univariate and multivariate logistic regression models were used to identify risk factors for S/SS.

RESULTS

There were 18,642 patients that underwent craniotomy for tumor resection. The rate of sepsis was 1.35% with a mortality rate of 11.16% and the rate of septic shock was 0.65% with a 33.06% mortality rate versus an overall mortality rate of 2.46% in the craniotomy for tumor cohort. The 30-day readmission rate was 50.54% with S/SS vs 10.26% in those without S/SS. Multiple factors were identified as statistically significant (p <0.05) for S/SS including ascites (OR = 33.0), ventilator dependence (OR = 4.5), SIRS (OR = 2.8), functional status (OR = 2.3), bleeding disorders (OR = 1.7), severe COPD (OR = 1.6), steroid use (OR = 1.6), operative time >310 minutes (OR = 1.5), hypertension requiring medication (OR = 1.5), ASA class ≥ 3 (OR = 1.4), male sex (OR = 1.4), BMI >35 (OR = 1.4) and infratentorial location.

CONCLUSIONS

The data indicate that sepsis and septic shock, although uncommon after craniotomy for tumor resection, carry a significant risk of 30-day unplanned reoperation (35.60%) and mortality (18.21%). The most significant risk factors are ventilator dependence, ascites, SIRS and poor functional status. By identifying the risk factors for S/SS, neurosurgeons can potentially improve outcomes. Further investigation should focus on the creation of a predictive score for S/SS with integration into the electronic health record for targeted protocol initiation in this unique neurosurgical patient population.