The overlooked factor: The impact of disability on postoperative complications after emergency general surgery procedures.

BACKGROUND: Despite more than 61 million people in the United States living with a disability, studies on the impact of disability on health care disparities in surgical patients remain limited. Therefore, we aimed to understand the impact of disability on postoperative outcomes. METHODS: We performed a retrospective cohort study using the Nationwide Readmission Database (2019). We compared patients ≥18 years undergoing emergency general surgery procedures with a disability condition with those without a disability. In accordance with the Centers for Disease Control and Prevention, disability was defined as severe hearing, visual, intellectual, or motor impairment/caregiver dependency. The primary outcome was 30-day readmission rates. Secondary outcomes included hospital length of stay and 30-day complications and mortality. Patients were 1:1 propensity-matched using patient, procedure, and hospital characteristics. RESULTS: Among our population of 378,733 patients, 5,877 (1.6%) patients had at least 1 disability condition. A higher proportion of patients with a disability had low household income, $1 to $45,999, and an Elixhauser Comorbidity score ≥3. Among 5,768 matched pairs, patients with a disability had a significantly higher incidence of 30-day readmission (17.2% vs 12.7%; P < .001), infectious complications (29.8% vs 19.5%; P < .001), and a longer length of stay (8 vs 6 days; P < .001). Motor impairment, the most common disability, was associated with the greatest increase in patient readmission, morbidity, and length of stay. CONCLUSION: Severe intellectual, hearing, visual, or motor impairments were associated with higher readmission, morbidity, and longer length of stay. Further research is needed to understand the mechanisms responsible for these disparities and to develop interventions to ameliorate them.

Patience is key: Association of surgical timing with clinical outcomes in elderly patients with sigmoid volvulus.

BACKGROUND: Current guidelines for sigmoid volvulus recommend endoscopy as a first line of treatment for decompression, followed by colectomy as early as possible. Timing of the latter varies greatly. This study compared early (≤2 days) versus delayed (>2 days) sigmoid colectomy. METHODS: 2016-2019 NRD database was queried to identify patients aged ≥65 years admitted for sigmoid volvulus who underwent sequential endoscopic decompression and sigmoid colectomy. Outcomes included mortality, complications, hospital length of stay, readmissions, and hospital costs. RESULTS: 842 patients were included, of which 409 (48.6 â€‹%) underwent delayed sigmoid colectomy. Delayed sigmoid colectomy was associated with reduced cardiac complications (1.1 â€‹% vs 0.0 â€‹%, p â€‹= â€‹0.045), reduced ostomy rate (38.3 â€‹% vs 29.4 â€‹%, p â€‹= â€‹0.013), an increased overall length of stay (12 days vs 8 days, p â€‹< â€‹0.001) and increased overall costs (27,764 dollar vs. 24,472 dollar, p â€‹< â€‹0.001). CONCLUSION: In geriatric patient with sigmoid volvulus, delayed surgical resection after decompression is associated with reduced cardiac complications and reduced ostomy rate, while increasing overall hospital length of stay and costs.

The invisible scars: Unseen financial complications worsen every aspect of long-term health in trauma survivors.

BACKGROUND: Trauma survivors are susceptible to experiencing financial toxicity (FT). Studies have shown the negative impact of FT on chronic illness outcomes. However, there is a notable lack of data on FT in the context of trauma. We aimed to better understand prevalence, risk factors, and impact of FT on trauma long-term outcomes. METHODS: Adult trauma patients with an Injury Severity Score (ISS) ≥9 treated at Level I trauma centers were interviewed 6 months to 14 months after discharge. Financial toxicity was considered positive if patients reported any of the following due to the injury: income loss, lack of care, newly applied/qualified for governmental assistance, new financial problems, or work loss. The Impact of FT on Patient Reported Outcome Measure Index System (PROMIS) health domains was investigated. RESULTS: Of 577 total patients, 44% (254/567) suffered some form of FT. In the adjusted model, older age (odds ratio [OR], 0.4; 95% confidence interval [95% CI], 0.2-0.81) and stronger social support networks (OR, 0.44; 95% CI, 0.26-0.74) were protective against FT. In contrast, having two or more comorbidities (OR, 1.81; 95% CI, 1.01-3.28), lower education levels (OR, 1.95; 95% CI, 95%, 1.26-3.03), and injury mechanisms, including road accidents (OR, 2.69; 95% CI, 1.51-4.77) and intentional injuries (OR, 4.31; 95% CI, 1.44-12.86) were associated with higher toxicity. No significant relationship was found with ISS, sex, or single-family household. Patients with FT had worse outcomes across all domains of health. There was a negative linear relationship between the severity of FT and worse mental and physical health scores. CONCLUSION: Financial toxicity is associated with long-term outcomes. Incorporating FT risk assessment into recovery care planning may help to identify patients most in need of mitigative interventions across the trauma care continuum to improve trauma recovery. Further investigations to better understand, define, and address FT in trauma care are warranted. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Missing Narrative: Examining the Impact of Disability on Post-Operative Infectious Complications.

Background: More than 20% of the population in the United States suffers from a disability, yet the impact of disability on post-operative outcomes remains understudied. This analysis aims to characterize post-operative infectious complications in patients with disability. Patients and Methods: This was a retrospective review of the National Readmission Database (2019) among patients undergoing common general surgery procedures. As per the U.S. Centers for Disease Control and Prevention (CDC), disability was defined as severe hearing, visual, intellectual, or motor impairment/caregiver dependency. A propensity-matched analysis comparing patients with and without a disability was performed to compare outcomes, including post-operative septic shock, sepsis, bacteremia, pneumonia, catheter-associated urinary tract infection (CAUTI), urinary tract infection (UTI), catheter-associated blood stream infection, Clostridioides Difficile infection, and superficial, deep, and organ/space surgical site infections during index hospitalization. Patients were matched using age, gender, comorbidities, illness severity, income, neighborhood, insurance, elective procedure, and the hospital's bed size and type. Results: A total of 710,548 patients were analysed, of whom 9,451(1.3%) had at least one disability. Motor disability was the most common (3,762; 40.5%), followed by visual, intellectual, and hearing impairment. Patients with disability were older (64 vs. 57 years; p < 0.001), more often insured under Medicare (65.2% vs. 37.3% p < 0.001) and had more medical comorbidities (Elixhauser comorbidity score ≥3; 69.2% vs. 41.9%; p < 0.001). After matching, 9,292 pairs were formed. Patients with a disability had a higher incidence of pneumonia (10.1% vs. 6.5%; p < 0.001), aspiration pneumonia (5.2% vs. 1.4%; p < 0.001), CAUTI (1.0% vs. 0.4%; p < 0.001), UTI (10.4% vs. 6.2%; p < 0.001), and overall infectious complications (21.8% vs. 14.5%; p < 0.001). Conclusions: Severe intellectual, hearing, visual, or motor impairments were associated with a higher incidence of infectious complications. Further investigation is needed to develop interventions to reduce disparities among this high-risk population.

Burden of Social and Behavioral Determinants of Health on Infectious Complications in Emergency General Surgery.

Background: Infectious complications lead to worse post-operative outcomes and are used to compare hospital performance in pay-for-performance programs. However, the impact of social and behavioral determinants of health on infectious complication rates after emergency general surgery (EGS) remains unclear. Patients and Methods: All patients undergoing EGS in the 2019 Nationwide Readmissions Database were included. The primary outcome of the study was the rate of infectious complications within 30 days, defined as a composite outcome including all infectious complications occurring during the index hospitalization or 30-day re-admission. Secondary outcomes included specific infectious complication rates. Multivariable regression analyses were used to study the impact of patient characteristics, social determinants of health (insurance status, median household income in the patient's residential zip code), and behavioral determinants of health (substance use disorders, neuropsychiatric comorbidities) on post-operative infection rates. Results: Of 367,917 patients included in this study, 20.53% had infectious complications. Medicare (adjusted odds ratio [aOR], 1.3; 95% confidence interval [CI], 1.26-1.34; p < 0.001), Medicaid (aOR, 1.24; 95% CI,1.19-1.29; p < 0.001), lowest zip code income quartile (aOR, 1.17; 95% CI, 1.13-1.22; p < 0.001), opioid use disorder (aOR,1.18; 95% CI,1.10-1.29; p < 0.001), and neurodevelopmental disorders (aOR, 2.16; 95% CI, 1.90-2.45; p < 0.001) were identified as independent predictors of 30-day infectious complications. A similar association between determinants of health and infectious complications was also seen for pneumonia, urinary tract infection (UTI), methicillin-resistant Staphylococcus aureus (MRSA) sepsis, and catheter-association urinary tract infection (CAUTI). Conclusions: Social and behavioral determinants of health are associated with a higher risk of developing post-operative infectious complications in EGS. Accounting for these factors in pay-for-performance programs and public reporting could promote fairer comparisons of hospital performance.

Machine Learning Model for Assessment of Risk Factors and Postoperative Day for Superficial vs Deep/Organ-Space Surgical Site Infections.

Background. Deep and organ space surgical site infections (SSI) require more intensive treatment, may result in more severe clinical disease and may have different risk factors when compared to superficial SSIs. Machine learning (ML) algorithms provide the opportunity to analyze multiple factors to predict of the type and time of development of SSI. Therefore, we developed a ML model to predict type and postoperative week of SSI. Methodology. A case-control study was conducted among patients who developed a SSI after undergoing general surgery procedures at a tertiary care hospital between 2019 to 2020. Patients were followed for 30 days. Six ML algorithms were trained as predictors of type of infection (superficial vs deep/organ space) and time of infection, and tested using area under the receiver operating characteristic curve (AUC-ROC). Results. Data for 113 patients with SSIs was available. Of these 62 (54.8%) had superficial and 51 had (45.2%) deep/organ space infections. Compared with other ML algorithms, the XG boost univariate model had highest AUC-ROC (.84) for prediction of type of SSI and Stochastic gradient boosting univariate, logistic regression univariate, XG boost univariate, and random forest classification univariate model had the highest AUC-ROC (.74) for prediction of week of infection. Conclusions. ML models offer reasonable accuracy in prediction of superficial vs deep SSI and time of developing infection. Follow-up duration and allocation of treatment strategies can be informed by ML predictions.