Predisposing Factors for 30-Day Complications Following Leg Amputation

BACKGROUND

Although amputation rates, morbidity, and mortality have been established for select populations, the impact of general demographic factors on postoperative surgical complications remains little studied.

METHODS

The American College of Surgeons' National Surgical Quality Improvement Program database was searched for leg amputations from 2012 to 2017 using CPT codes 27881, 27882, 27884, and 27886, identifying 4162 patients. A total of 29 demographic variables with 4 complications (surgical infection, additional service, and deep-vein thrombosis [DVT], and sepsis) were analyzed.

RESULTS

Preoperative open, contaminated, or dirty/infected wounds; longer intraoperative times; development of sepsis prior to surgery; and admission of patients from home or another hospital influenced postoperative infection rates. Preoperative open, infected, or dirty/infected wounds; height; weight; total length of hospital stay; and ethnicity affected postoperative additional service incidence. Preoperative congestive heart failure, large decreases in body weight, and total length of hospital stay influenced postoperative DVT rates. Preoperative functional heath status, total length of hospital stay, amputations conducted as emergency cases, preoperative acute renal failure, open or infected wounds, sepsis, and contaminated or dirty/infected wounds affected postoperative sepsis rates.

BACKGROUND

Conclusion. Understanding these risk factors may allow providers to anticipate and address higher rates of complications in certain patient populations.

LEVEL OF EVIDENCE

Level III: Prognostic.

Factors associated with dental implant loss/complications in the Veterans Health Administration, 2015-2019

OBJECTIVES

Twelve percent of the U.S. population has a dental implant. Although rare, implant loss/complications can impact quality of life. This study evaluated indicators for implant loss/complications.

METHODS

Veterans with dental implants placed between 2015 and 2019 were included. Implant loss/complications were defined as implant removal or peri-implant defect treatment within 90 days. Binomial logistic regression identified factors associated with implant loss/complications.

RESULTS

From 2015 to 2019, 48,811 dental implants were placed in 38,246 Veterans. Implant loss/complications was identified for 202 (0.4%) implants. In adjusted analyses, Veterans aged 50-64 years (OR = 1.92 (95% confidence interval (CI): 1.06, 3.46)) and ≥65 (OR = 2.01 (95% CI: 1.14, 3.53)) were more likely to have implant loss/complications. History of oral infection, tooth location, and number of implants placed all significantly increased the odds of loss/complications.

CONCLUSION

Dental implant loss/complications are rare outcomes. Older age, location of implant, and the number of implants placed during a visit were significant predictors of loss/complication.

Predisposing Factors for 30-Day Complications Following Achilles Tendon Repair

Certain risk factors for Achilles tendon repair complications, including tobacco use, diabetes mellitus, steroid use, and obesity, have been well-reviewed. This study analyzes the impact of a range of demographic factors on unique surgical complications within the 30-day postoperative period. We extracted data from the American College of Surgeons National Surgical Quality Improvement Program database from 2012 to 2017 and searched for Achilles tendon repairs using CPT codes 27650, 27652, and 27654, identifying 4,040 patients. Twenty-two demographic variables and their association with each of 4 complications were analyzed using t tests or chi-squared tests. A logistic regression was conducted to determine independent risk factors for each outcome, based on results from the bivariate analyses. Variables having p <.2 on bivariate analysis were included in the multivariate analysis of the corresponding surgical complication. Patients with open or infected wounds preoperatively were more likely to return with a postoperative surgical infection (p< .001). Likewise, each additional year of the patient's age increased their likelihood of developing a surgical infection (p= .03). Patients with "clean/contaminated" wound sites prior to repair were more likely to return for an additional service (p= .02). Furthermore, each additional inch of the patient's height (p= .03) and every additional minute of operative time increased a patient's risk of developing a new-onset deep vein thrombosis (p= .01). This study offers providers a more complete picture of which preoperative characteristics affect Achilles tendon repair patients, directing management to reduce postoperative complication rates.

Patient Factors Associated With Prolonged Postoperative Opioid Use After Total Knee Arthroplasty

BACKGROUND

Pain persists in a moderate proportion of patients after total knee arthroplasty (TKA). Identifying patient factors that are associated with persistent pain may lead to improved care.

PURPOSE

The purpose of the study was to identify preoperative factors associated with increased opioid prescriptions after TKA.

METHODS

A retrospective cohort study of TKAs in an integrated health-care system (January 2008-December 2011) was conducted. The number of opioid prescriptions per 90-day period after TKA (up to 1 year), was the outcome of interest. Patient risk factors that were evaluated included demographics, pain prescriptions, comorbidities, and chronic pain conditions. Multivariable Poisson regression models were employed.

RESULTS

The median age for 23,726 patients was 67 years. Before surgery, 60.0% used opioids. Three months after surgery, 41.2% of patients continued using opioids. Factors associated with greater opioid use included: younger age (odds ratio [OR] = 0.83, 95% confidence interval [CI] 0.82-0.84 per 10-year increase), liver disease (OR = 1.11, 95% CI 1.06-1.16), preoperative nonsteroidal anti-inflammatory drug use (OR = 1.09, 95% CI 1.07-1.10), anxiety (OR = 1.05, 95% CI 1.03-1.08), substance abuse (OR = 1.03, 95% CI 1.00-1.06), diabetes mellitus (OR = 1.03, 95% CI 1.01-1.05), preoperative opioid use (OR = 1.04, 95% CI 1.04-1.04), back pain (OR = 1.23, 95% CI 1.18-1.127), congestive heart failure (OR = 1.16, 95% CI 1.06-1.27), depression (OR = 1.14, 95% CI 1.09-1.18), fibromyalgia (OR = 1.10, 95% CI 1.02-1.18), hypertension (OR = 1.06, 95% CI 1.02-1.10), nonspecific chronic pain (OR = 1.06, 95% CI 1.02-1.10), black race (OR = 1.17, 95% CI 1.12-1.23), and chronic lung disease (OR = 1.05, 95% CI 1.01-1.10).

CONCLUSION

Several preoperative factors were associated with prolonged opioid use after TKA, and their identification can assist providers guide pain management. Avoidance or weaning of preoperative opioids should be considered.