The 5-factor modified frailty index (mFI-5) predicts adverse outcomes after elective anterior cervical discectomy and fusion (ACDF).

Background: Anterior cervical discectomy and fusion (ACDF) is a reliable procedure commonly performed in older patients with degenerative diseases of the cervical spine. Over 130,000 procedures are performed every year with an annual increase of 5%, and overall morbidity rates can reach as high as 19.3%, indicating a need for surgeons to gauge their patients' risk for adverse outcomes. Frailty is an age-associated decline in functioning of multiple organ systems and has been shown to predict adverse outcomes following various spine procedures. There have been several proposed frailty indices of various factors including the 11-factor modified frailty index (mFI-11), which has been shown to be an effective tool for predicting complications in patients undergoing ACDF. However, there is a paucity of literature assessing the utility of the 5-factor modified frailty index (mFI-5) as a risk stratification tool for patients undergoing ACDF. The purpose of this study was to analyze the predictive capability of the mFI-5 score for 30-day postoperative adverse events following elective ACDF. Methods: A retrospective review was performed using the National Surgical Quality Improvement Program (NSQIP) database from 2010 through 2019. Patients older than 50 years of age who underwent elective ACDF were identified using Current Procedural Terminology ([CPT] codes 22554, 22551, 22552, and 63075). Exclusion criteria removed patients under the age of 51, as well as those with fractures, sepsis, disseminated cancer, a prior operation in the last 30 days, ascites, wound infection, or an emergency surgery. Patients were grouped using mFI scores of 1, 2, and 3+. Univariate analysis, using chi-squared and one-way analysis of variance (ANOVA) tests, was conducted to compare demographics, comorbidities, and postoperative complications across the varying cohorts based on mFI-5 scores. Multivariate logistic regression, including patient demographics and preoperative comorbidities as covariates, was performed to evaluate if mFI-5 scores were independent predictors of 30-day postoperative adverse events. Covariates including race, BMI, sex, ASA, and comorbidities were included in regression models. Results: The 45,991 patients were identified and allocated in cohorts based on mFI-5 score. Rates for superficial surgical site infection (SSI), organ/deep space SSI, pneumonia, progressive renal insufficiency, acute renal failure (ARF), urinary tract infection (UTI), stroke/cardiovascular accident (CVA), cardiac arrest requiring cardiopulmonary resuscitation (CPR), myocardial infarction, bleeding requiring transfusions, deep vein thrombosis/thrombophlebitis, sepsis, septic shock, readmissions, reoperation, and mortality incrementally increased with mFI-5 scores from 0 to 3+. Multivariate regression analysis revealed that mFI-5 scores 1 to 3+ increased the odds, in a stepwise manner, of total complications, cardiac arrest requiring CPR, pneumonia and mortality. MFI-5 scores of 2 and 3+ were independent predictors of readmission (2: OR=1.5, p<.001; 3+: OR=2.0, p<.001) and myocardial infarction (2: OR=3.4, p=.001; 3+: OR=6.9, p<.001). A score of 3+ increased the odds of ARF (OR=9.7, p=.022), septic shock (OR=3.6, p=.036), UTI (OR=2.1, p=.007), bleeding requiring transfusions (OR=2.1, p=.016), and reoperations (OR=1.7, p=.004). Conclusion: mFI-5 score is a quick and viable option for surgeons to use as an assessment tool to stratify high risk patients undergoing elective ACDF, as increasing mFI-5 scores showed significantly higher rates of all adverse outcomes accounted for in this study, except for deep incisional SSI, wound disruption, and PE. Additionally, moderate to severe mFI-5 scores of 2 or 3+ were independent predictors for 30-day postoperative ARF, UTI, MI, bleeding requiring transfusions, septic shock, reoperation, and readmissions following elective ACDF surgery in adults over 50 years old.

A Nationwide Analysis of the Impact of Socioeconomic Status on Complications and Health Care Utilizations After Total Knee Arthroplasty Using the Area Deprivation Index: Consideration of the Disadvantaged Patient.

BACKGROUND: Socioeconomic status has been demonstrated to be an important prognostic risk factor among patients undergoing total joint arthroplasty. We evaluated patients living near neighborhoods with higher socioeconomic risk undergoing total knee arthroplasty (TKA) and if they were associated with differences in the following: (1) medical complications; (2) emergency department (ED) utilizations; (3) readmissions; and (4) costs of care. METHODS: A query of a national database from 2010 to 2020 was performed for primary TKAs. The Area Deprivation Index (ADI) is a weighted index comprised of 17 census-based markers of material deprivation and poverty. Higher numbers indicate a greater disadvantage. Patients undergoing TKA in zip codes associated with high ADI (90%+) were 1:1 propensity-matched to a comparison group by age, sex, and Elixhauser Comorbidity Index. This yielded 225,038 total patients, evenly matched between cohorts. Outcomes studied included complications, ED utilizations, readmission rates, and 90-day costs. Logistic regression models computed the odds ratios (OR) of ADI on the dependent variables. P values less than .003 were significant. RESULTS: High ADI led to higher rates and odds of any medical complications (11.7 versus 11.0%; OR: 1.05, P = .0006), respiratory failures (0.4 versus 0.3%; OR: 1.28, P = .001), and acute kidney injuries (1.7 versus 1.5%; OR: 1.15, P < .0001). Despite lower readmission rates (2.9 versus 3.5%), high ADI patients had greater 90-day ED visits (4.2 versus 4.0%; OR: 1.07, P = .0008). The 90-day expenditures ($15,066 versus $12,459; P < .0001) were higher in patients who have a high ADI. CONCLUSIONS: Socioeconomically disadvantaged patients have increased complications and ED utilizations. Neighborhood disadvantage may inform health care policy and improve postdischarge care. The socioeconomic status metrics, including ADI (which captures community effects), should be used to adequately risk-adjust or risk-stratify patients so that access to care for deprived regions and patients is not lost. LEVEL OF EVIDENCE: III.

Comparison of Patient Demographics and Risk of Surgical Site Infections Following Open Reduction and Internal Fixation of Trimalleolar Ankle Fractures: A Nationwide Analysis of a Private Payor.

Surgical site infections (SSIs) are a notable complication following open reduction and internal fixation (ORIF) for ankle fractures. The purpose of this study was to (1) compare baseline demographics of patients who did and did not develop SSIs within 90 days following ORIF for trimalleolar ankle fractures and (2) identify risk factors associated with SSIs in this setting. A retrospective analysis from 2010 to 2020 was completed using a national administrative database. The study group consisted of patients who underwent ORIF for trimalleolar ankle fractures and developed SSIs within 90 days postoperatively. Patients without SSIs served as the comparison cohort. Baseline demographics of the two cohorts were compared utilizing Pearson's Chi-Square Analyses. A multivariate binomial logistic regression model determined the association of various comorbidities on developing SSIs in this setting. Out of a total sample of 22,118 patients, 1000 individuals (4.52%) developed SSIs. The study revealed that the SSI cohort exhibited a greater burden of comorbidities, as evidenced by significant differences in various individual comorbidities and average Elixhauser-Comorbidity Indices scores. The most strongly associated risk factors for the development of SSIs following ORIF for trimalleolar ankle fractures were peripheral vascular disease (OR: 1.53, p < .0001), diabetes mellitus (OR: 1.26, p = .0010), iron deficiency anemia (OR: 1.24, p = .0010), male sex (OR: 1.22, p = .0010), and tobacco use (OR: 1.15, p = .0010). This study identified several patient risk factors that were associated with developing SSIs after ORIF for trimalleolar ankle fractures, recognizing potential patient-directed interventions that may reduce the rate of SSIs in this setting.

Preoperative Depression Screening in Primary Lumbar Fusion: An Evaluation of Its Modifiability on Outcomes in Patients with Diagnosed Depressive Disorder.

OBJECTIVE: Studies have reported the detrimental effects of depression following spine surgery; however, none have evaluated whether preoperative depression screening in patients with a history of depression is protective from adverse outcomes and lowers health care costs. We studied whether depression screenings/psychotherapy visits within 3 months before 1- to 2-level lumbar fusion were associated with lower medical complications, emergency department utilization, readmissions, and health care costs. METHODS: The PearlDiver database from 2010 to 2020 was queried for depressive disorder (DD) patients undergoing primary 1- to 2-level lumbar fusion. Two cohorts were 1:5 ratio matched and included DD patients with (n = 2,622) and DD patients without (n = 13,058) a preoperative depression screen/psychotherapy visit within 3 months of lumbar fusion. A 90-day surveillance period was used to compare outcomes. Logistic regression models computed odds ratio (OR) of complications and readmissions. P value < 0.003 was significant. RESULTS: DD patients without depression screening had significantly greater incidence and odds of experiencing medical complications (40.57% vs. 16.00%; OR 2.71, P < 0.0001). Rates of emergency department utilization were increased in patients without screening versus screening (15.78% vs. 4.23%; OR 4.25, P < 0.0001), despite no difference in readmissions (9.31% vs. 9.53%; OR 0.97, P = 0.721). Finally, 90-day reimbursements ($51,160 vs. $54,731) were significantly lower in the screened cohort (all P < 0.0001). CONCLUSIONS: Patients who underwent a preoperative depression screening within 3 months of lumbar fusion had decreased medical complications, emergency department utilization, and health care costs. Spine surgeons may use these data to counsel their patients with depression before surgical intervention.

AI-generated research paper fabrication and plagiarism in the scientific community.

Fabricating research within the scientific community has consequences for one's credibility and undermines honest authors. We demonstrate the feasibility of fabricating research using an AI-based language model chatbot. Human detection versus AI detection will be compared to determine accuracy in identifying fabricated works. The risks of utilizing AI-generated research works will be underscored and reasons for falsifying research will be highlighted.

Lower Neighborhood Socioeconomic Status May Influence Medical Complications, Emergency Department Utilization, and Costs of Care After 1- to 2-Level Lumbar Fusion.

STUDY DESIGN: Retrospective Case-Control Study. OBJECTIVES: The objectives were to determine whether patients from poor social determinants of health, undergoing primary 1- to 2-level lumbar fusion, demonstrate differences in (1) medical complications, (2) emergency department (ED) utilizations, (3) readmission rates, and (4) costs of care. SUMMARY OF BACKGROUND DATA: Measures of socioeconomic disadvantage may enable improved targeting and prevention of potentially increased health care utilization. The Area Deprivation Index (ADI) is a validated index of 17 census-based markers of material deprivation and poverty. MATERIALS AND METHODS: A retrospective query of the 2010-2020 PearlDiver database was performed for primary 1- to 2-level lumbar fusions for degenerative lumbar pathology. High ADI (scale: 0-100) is associated with a greater disadvantage. Patients with high ADI (90%+) were 1:1 propensity score matched to controls (ADI: 0-89%) by age, sex, and Elixhauser Comorbidity Index. This yielded 34,442 patients, evenly matched between cohorts. Primary outcomes were to compare 90-day complications, ED utilizations, readmissions, and costs of care. Multivariable logistic regression models computed the odds ratios (OR) of ADI on complications, ED utilizations, and readmissions. P -values <0.05 were significant. RESULTS: Patients with a high ADI incurred higher rates and odds of developing respiratory failures (1.17% vs. 0.87%; OR: 1.35, P =0.005). Acute kidney injuries (2.61% vs. 2.29%; OR: 1.14, P =0.056), deep venous thromboses (0.19% vs. 0.17%; OR: 1.14, P =0.611), cerebrovascular accidents (1.29% vs. 1.31%; OR: 0.99, P =0.886), and total medical complications (23.35% vs. 22.93%; OR: 1.02, P =0.441) were similar between groups. High ADI patients experienced higher rates and odds of ED visits within 90 days (9.67% vs. 8.91%; OR: 1.10, P =0.014) and overall 90-day expenditures ($54,459 vs. $47,044; P <0.001). CONCLUSIONS: Socioeconomically disadvantaged patients have increased rates and odds of respiratory failure within 90 days. ED utilization within 90 days of surgery was higher in socioeconomically disadvantaged patients. Social determinants of health could be used to inform health care policy and improve postdischarge care. LEVEL OF EVIDENCE: Level III.

The 5-factor modified Frailty Index (mFI-5) predicts adverse outcomes after elective Anterior Lumbar Interbody Fusion (ALIF).

Background: The 5-factor modified frailty index (mFI-5) has been shown to be a concise and effective tool for predicting adverse events following various spine procedures. However, there have been no studies assessing its utility in patients undergoing anterior lumbar interbody fusion (ALIF). Therefore, the aim of this study was to analyze the predictive capabilities of the mFI-5 for 30-day postoperative adverse events following elective ALIF. Methods: The National Surgical Quality Improvement Program (NSQIP) database was queried from 2010 through 2019 to identify patients who underwent elective ALIF using Current Procedural Terminology (CPT) codes in patients over the age of 50. The mFI-5 score was calculated using variables for hypertension, congestive heart failure, comorbid diabetes, chronic obstructive pulmonary disease, and partially or fully dependent functional status which were each assigned 1 point. Univariate analysis and multivariate logistic regression models were utilized to identify the associations between mFI-5 scores, and 30-day rates of overall complications, readmissions, reoperations, and mortality. Results: 11,711 patients were included (mFI-5=0: 4,026 patients, mFI-5=1: 5,392, mFI-5=2: 2,102, mFI-5=3+: 187. Multivariate logistic regression revealed that mFI-5 scores of 1 (OR: 2.2, CI: 1.2-4.2, p=0.02), 2 (OR: 3.6, CI: 1.8-7.3, p<0.001), and 3+ (OR: 7.0, CI: 2.5-19.3, p<0.001) versus a score of 0 were significant predictors of pneumonia. An mFI-5 score of 2 (OR: 1.3; CI: 1.01-1.6, p=0.04), and 3+ (OR: 1.9; CI: 1.1-3.1; p=0.01) were both independent predictors of related readmissions. An mFI score of 3+ was an independent predictor of any complication (OR: 1.5, CI: 1.01-2.2, p=0.004), UTI (OR: 2.4, CI: 1.1-5.2, p=0.02), and unplanned intubation (OR: 4.5, CI: 1.3-16.1, p=0.02). Conclusions: The mFI-5 is an independent predictor for 30-day postoperative complications, readmissions, UTI, pneumonia, and unplanned intubations following elective ALIF surgery in adults over the age of 50.