Influence of gender on discharge disposition after spinal fusion for adult spine deformity correction

The Impact of Social Determinants of Health on Discharge Disposition Following One- and Two-Level Posterior Interbody Fusion

Background Current research is limited in exploring the impact of social determinants of health (SDOH) on the discharge location within elective spine surgery. Further understanding of the influence of SDOH on disposition is necessary to improve outcomes. This study explores how SDOH influence discharge disposition for patients undergoing one- or two-level posterior interbody fusion (TLIF/PLIF). Methods This was a retrospective propensity-matched cohort study. Patients who underwent TLIF/PLIF between 2017 and 2020 at a single academic medical center were identified. The chart review gathered demographics, perioperative characteristics, intra/post-operative complications, discharge disposition, and 90-day outcomes. Discharge dispositions included subacute nursing facility (SNF), home with self-care (HSC), home with health services (HHS), and acute rehab facility (ARF). Demographic, perioperative, and disposition outcomes were analyzed by chi-square analysis and one-way ANOVA based on gender, race, and income quartiles. Results Propensity score matching for significant demographic factors isolated 326 patients. The rate of discharge to SNF was higher in females compared to males (25.00% vs 10.56%; p=0.001). Men were discharged to home at a higher rate than women (75.4% vs 61.95%; p=0.010). LatinX patients had the highest rate of home discharge, followed by Asians, Caucasians, and African Americans (83.33% vs 70.31% vs 66.45% vs 65.90%; p<0.001). The post hoc Tukey test demonstrated statistically significant differences between Asians and all other races in the context of age and BMI. Additionally, patients discharged to SNF showed the highest Charlson comorbidity index (CCI) score, followed by those at ARF, HHS, and HSC (4.36 vs 4.05 vs 2.87 vs 2.37; p<0.001). The estimated median income for the cohort ranged from $52,000 to $250,001, with no significant differences in income seen across comparisons. Conclusion Discharge disposition following one- or two-level TLIF/PLIF shows significant association with gender and race. No association was seen when comparing discharge rates among zip code-level median income quartiles.

Accounting for age in prediction of discharge destination following elective lumbar fusion: a supervised machine learning approach

BACKGROUND CONTEXT

The number of elective spinal fusion procedures performed each year continues to grow, making risk factors for post-operative complications following this procedure increasingly clinically relevant. Nonhome discharge (NHD) is of particular interest due to its associations with increased costs of care and rates of complications. Notably, increased age has been found to influence rates of NHD.

PURPOSE

To identify aged-adjusted risk factors for nonhome discharge following elective lumbar fusion through the utilization of Machine Learning-generated predictions within stratified age groupings.

STUDY DESIGN

Retrospective Database Study.

PATIENT SAMPLE

The American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database years 2008 to 2018.

OUTCOME MEASURES

Postoperative discharge destination.

METHODS

ACS-NSQIP was queried to identify adult patients undergoing elective lumbar spinal fusion from 2008 to 2018. Patients were then stratified into the following age ranges: 30 to 44 years, 45 to 64 years, and ≥65 years. These groups were then analyzed by eight ML algorithms, each tasked with predicting post-operative discharge destination.

RESULTS

Prediction of NHD was performed with average AUCs of 0.591, 0.681, and 0.693 for those aged 30 to 44, 45 to 64, and ≥65 years respectively. In patients aged 30 to 44, operative time (p<.001), African American/Black race (p=.003), female sex (p=.002), ASA class three designation (p=.002), and preoperative hematocrit (p=.002) were predictive of NHD. In ages 45 to 64, predictive variables included operative time, age, preoperative hematocrit, ASA class two or class three designation, insulin-dependent diabetes, female sex, BMI, and African American/Black race all with p<.001. In patients ≥65 years, operative time, adult spinal deformity, BMI, insulin-dependent diabetes, female sex, ASA class four designation, inpatient status, age, African American/Black race, and preoperative hematocrit were predictive of NHD with p<.001. Several variables were distinguished as predictive for only one age group including ASA Class two designation in ages 45 to 64 and adult spinal deformity, ASA class four designation, and inpatient status for patients ≥65 years.

CONCLUSIONS

Application of ML algorithms to the ACS-NSQIP dataset identified a number of highly predictive and age-adjusted variables for NHD. As age is a risk factor for NHD following spinal fusion, our findings may be useful in both guiding perioperative decision-making and recognizing unique predictors of NHD among specific age groups.

A retrospective study on the relationship between 5 modified frailty index (5-mFI) and postoperative complications of gynecological elderly patients undergoing abdominal surgery

INTRODUCTION

Aim to evaluate the application of 5 modified frailty index (5-mFI) in predicting postoperative complications in elderly gynecological patients undergoing abdominal surgery.

METHODS

A total of 294 elderly gynecological patients who were hospitalized in the affiliated Hospital of North Sichuan Medical College and underwent abdominal surgery from November 2019 to May 2022 were collected from the Union Digital Medical Record (UniDMR) Browser of the hospital. According to whether postoperative complications (infection, hypokalemia, hypoproteinemia, poor wound healing and intestinal obstruction) occurred, the patients were divided into complication group (n = 98) and non-complication group (n = 196). Univariate and multivariate logistic regression analysis were used to analyze the risk factors of complications in elderly gynecological patients undergoing abdominal surgery. The receiver operating characteristic (ROC) curve was used to determine the predictive value of the frailty index score in elderly gynecological patients with postoperative complications after abdominal surgery.

RESULTS

Postoperative complications occurred in 98 of 294 elderly gynecological patients undergoing abdominal surgery, accounting for 33.3%, 5-mFI (OR1.63, 95%CI 1.07-2.46,P = 0.022), age (OR1.08,95%CI 1.02-1.15, P = 0.009), operation time (OR 1.01, 95%CI 1.00-1.01). P < 0.001) were independent risk factors for postoperative complications in elderly patients undergoing abdominal surgery, and the area under the curve of postoperative complications in elderly gynecological patients was 0.60. (95%CI: 0.53-0.67, P = 0.005) CONCLUSION: Five modified frailty index can effectively predict the occurrence of postoperative complications in elderly gynecological patients.

Reporting demographics in randomized control trials in spine surgery - we must do better

BACKGROUND CONTEXT

Demographic factors contribute significantly to spine surgery outcomes. Although race and ethnicity are not proxies for disease states, the intersection between these patient characteristics and socioeconomic status significantly impact patient outcomes.

PURPOSE

The purpose of this study is to investigate the frequency of demographic reporting and analysis in randomized controlled clinical trials (RCTs) published in the three highest impact spine journals.

STUDY DESIGN

Systematic review.

PATIENT SAMPLE

We analyzed 278 randomized control trials published in The Spine Journal, Spine, and Journal of Neurosurgery: Spine between January 2012 - January 2022.

OUTCOME MEASURES

Extracted manuscript characteristics included the frequency of demographic reporting, sample size, and demographic composition of studies.

METHODS

We conducted a systematic review of RCTs published between January 2012 - January 2022 in the three highest impact factor spine journals in 2021: The Spine Journal, Spine, and Journal of Neurosurgery: Spine. We determined if age, gender, BMI, race, and ethnicity were reported and analyzed for each study. The overall frequency of demographic reporting was assessed, and the reporting trends were analyzed for each individual year and journal. Among studies that did report demographics, the populations were analyzed in comparison to the national population per United States (US) census reports. Studies were evaluated for bias using Cochrane risk-of-bias.

RESULTS

Our search identified 278 RCTs for inclusion. 166 were published in Spine, 65 in The Spine Journal, and 47 in Journal of Neurosurgery: Spine. Only 9.35% (N=26) and 3.9% (N=11) of studies reported race and ethnicity, respectively. Demographic reporting frequency did not vary based on the publishing journal. Reporting of age and BMI increased over time, but reporting of race and ethnicity did not. Among RCTs that reported race, 88% were conducted in the US, and 85.71% of the patients in these US studies were White. White subjects were overly represented compared to the US population (85.71% vs. 61.63%, p<.001), and non-White or Black patients were most underrepresented (2.89 vs. 25.96%, p<.001).

CONCLUSIONS

RCTs published in the three highest impact factor spine journals failed to frequently report patient race or ethnicity. Among studies published in the US, study populations are increasingly represented by non-Hispanic White patients. As we strive to care for an increasingly diverse population and reduce disparities to care, spine surgeons must do a better job reporting these variables to increase the external validity and generalizability of RCTs.

AM-PAC mobility scores predict non-home discharge following adult spinal deformity surgery

BACKGROUND CONTEXT

Adult spinal deformity (ASD) surgery requires an extended recovery period and often non-routine discharge. The Activity Measure for Post-Acute Care (AM-PAC) Basic Mobility Inpatient Short Form (6-Clicks) is a prediction tool, validated for other orthopedic procedures, to assess a patient's ability to mobilize after surgery.

PURPOSE

To assess the thresholds of AM-PAC scores that determine non-home discharge disposition in patients who have undergone ASD surgery.

STUDY DESIGN

Retrospective review PATIENT SAMPLE: Ninety consecutive ASD patients with ≥5 levels fused who underwent surgery from 2015 to 2018, with postoperative AM-PAC scores measured before discharge, were included.

OUTCOME MEASURES

Non-home discharge disposition METHODS: Patients with routine home discharge were compared to those with non-home discharge. Bivariate analysis was first conducted to compare these groups by preoperative demographics, comorbidities, radiographic alignment, surgical characteristics, HRQOLs, and AM-PAC measurements. Threshold linear regression with Bayesian information criteria was utilized to identify the optimal cutoffs for AM-PAC scores associated with increased likelihood of non-home discharge. Finally, multivariable analysis controlling for age, sex, comorbidities, levels fused, perioperative complication, and home support was conducted to assess each threshold.

RESULTS

Thirty-six (40%) of 90 patients analyzed had non-home discharge. On bivariate analysis, first AM-PAC score (13.5 vs. 17), last AM-PAC score (17 vs. 20), and AM-PAC change per day (+.387 vs. +1) were all significantly associated with non-home discharge. Threshold regression identified that cutoffs of ≤15 for first AM-PAC score, <17 for last AM-PAC score, and <+0.625 for daily AM-PAC change were associated with non-home discharge. On multivariable analysis, first AM-PAC score ≤15 (odds ratio [OR] 11.28; confidence interval [CI] 2.96-42.99; p<.001), last AM-PAC score <17 (OR 33.57; CI 5.85-192.82; p<.001), and AM-PAC change per day <+0.625 (OR 6.24; CI 2.01-19.43; p<.001) were all associated with increased odds of non-home discharge.

CONCLUSIONS

First AM-PAC score of 15 or less can help predict non-home discharge. A goal of daily AM-PAC increases of 0.625 points toward a final AM-PAC score of 17 can aid in achieving home discharge. The early AM-PAC mobility threshold of ≤15 may help prepare for non-home discharge, while AM-PAC daily changes per day <0.625 and final AM-PAC <17 may provide goals for mobility improvement during the early postoperative period in order to prevent non-home discharge.

Sex and gender determinants following spinal fusion surgery: A systematic review of clinical data

In the last decade, numerous studies analyzed and described the surgical outcomes in male and female patients submitted to orthopedic surgery. Although this, the impact of sex/gender on spinal fusion surgery clinical outcomes is still poorly defined. This review systematically maps and synthesizes the scientific literature on sex/gender differences in postoperative outcomes for patients undergoing spinal fusion surgery. The search was performed in PubMed, Scopus, and Web of Science in the last 22 years. Clinical studies evaluating potential sex/gender differences in postoperative outcomes and/or complications, as primary or secondary aim, were included and analyzed. Out of the 1,885 records screened, 47 studies were included. These studies comprised a total of 1,158,555 patients (51.31% female; 48.69% male). About 77% of the analyzed studies reported sex/gender-related differences in postoperative outcomes. Most studies treated patients for lumbar degenerative diseases and more than 55% of them reported a worse postoperative outcome in female patients in terms of pain, disability, health-related quality of life questionnaires, and complications. Differently, a significant heterogeneity across studies on patients treated for cervical and sacral degenerative diseases as well as for spinal deformity and traumatic spinal fracture prevented the understanding of specific sex/gender differences after spinal fusion surgery. Despite this, the present review highlighted those female patients treated for lumbar degenerative spine diseases could require more clinical awareness during postoperative care. The understanding of how sex/gender differences can really affect clinical outcomes after spinal fusion surgeries is mandatory for all spinal pathological conditions to drive clinical research toward oriented and personalized protocols.

Modified-frailty index does not independently predict complications, hospital length of stay or 30-day readmission rates following posterior lumbar decompression and fusion for spondylolisthesis

BACKGROUND CONTEXT

Frailty has been associated with inferior surgical outcomes in various fields of spinal surgery. With increasing healthcare costs, hospital length of stay (LOS) and unplanned readmissions have emerged as clinical proxies reflecting overall value of care. However, there is a paucity of data assessing the impact that baseline frailty has on quality of care in patients with spondylolisthesis.

PURPOSE

The aim of this study was to investigate the impact that frailty has on LOS, complication rate, and unplanned readmission after posterior lumbar spinal fusion for spondylolisthesis.

STUDY DESIGN

A retrospective cohort study was performed using the National Surgical Quality Improvement Program (NSQIP) database from 2010 through 2016.

PATIENT SAMPLE

All adult (≥18 years old) patients who underwent lumbar spinal decompression and fusion for spondylolisthesis were identified using ICD-9-CM diagnosis and procedural coding systems. We calculated the modified frailty index (mFI) for each patient using 5 dichotomous comorbidities - diabetes mellitus, congestive heart failure, hypertension requiring medication, chronic obstructive pulmonary disease, and dependent functional status. Each comorbidity is assigned 1 point and the points are summed to give a score between 0 and 5. As in previous literature, we defined a score of 0 as "not frail", 1 as "mild" frailty, and 2 or greater as "moderate to severe" frailty.

OUTCOME MEASURES

Patient demographics, comorbidities, complications, LOS, readmission, and reoperation were assessed.

METHODS

A multivariate logistic regression analysis was used to identify independent predictors of adverse events (AEs), extended LOS, complications, and unplanned readmission.

RESULTS

There were a total of 5,296 patients identified, of which 2,030 (38.3%) were mFI=0, 2,319 (43.8%) patients mFI=1, and 947 (17.9%) were mFI ≥2. The mFI≥2 cohort was older (p≤.001) and had a greater average BMI (p≤.001). The mFI≥2 cohort had a slightly longer hospital stay (3.7 ± 2.3 days vs. mFI=1: 3.5 ± 2.8 days and mFI=0: 3.2 ± 2.1 days,p≤.001). Both surgical AEs and medical AEs were significantly greater in the mFI≥2 cohort than the other cohorts, (2.6% vs. mFI=1: 1.8% and mFI=0: 1.2%,p=.022) and (6.3% vs. mFI=1: 4.8% and mFI=0: 2.6%,p≤.001), respectively. While there was no significant difference in reoperation rates, the mFI≥2 cohort had greater unplanned 30-day readmission rates (8;4% vs. mFI=5.6: 4.8% and mFI=0: 3.4%,p≤.001). However, on multivariate regression analysis, mFI≥2 was not a significant independent predictor of LOS (p=.285), complications (p=.667), or 30-day unplanned readmission (p=.378).

CONCLUSIONS

Our study indicates that frailty, as measured by the mFI, does not significantly predict LOS, 30-day adverse events, or 30-day unplanned readmission in patients undergoing lumbar spinal decompression and fusion for spondylolisthesis. Further work is needed to better define variable inputs that make up frailty to optimize surgical outcome prediction tools that impact the value of care.