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Haleem A, Herz D, Kumar KD, Chinta SR, Sibala DR, Hegazin M, Eloy JA. Association Between Modified Frailty Index and Postoperative Outcomes of Cricopharyngeal Myotomy. Otolaryngol Head Neck Surg 2024; 171:1462-1468. [PMID: 39101400 DOI: 10.1002/ohn.935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/26/2024] [Accepted: 07/10/2024] [Indexed: 08/06/2024]
Abstract
OBJECTIVE The modified 5-item frailty index (mFI-5) is a comorbidity-based risk stratification tool previously validated in patients undergoing several surgical procedures. This study investigates the association between mFI-5 score and cricopharyngeal myotomy (CM) complications. STUDY DESIGN Retrospective database review. SETTING US hospitals. METHODS The National Surgical Quality Improvement Program database was queried for patients who underwent CM between 2005 and 2018. mFI-5 score was determined by assigning 1 point for comorbidities including: diabetes mellitus, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and dependent health status. Univariate and multivariable analyses were conducted to determine associations between mFI-5 score and postoperative complications. RESULTS A total of 1075 patients undergoing CMs were queried and stratified into the following groups: mFI = 0 (n = 412 [38.3%]), mFI = 1 (n = 452 [42.0%]), and mFI ≥ 2 (n = 211 [19.6%]). Univariate analysis showed association between higher mFI-5 scores with older age, higher American Society of Anesthesiologists Classification class, obesity, smoking, dyspnea, and systemic sepsis. Higher mFI-5 was associated with a greater proportion of cumulative surgical complications, cumulative medical complications, pneumonia, myocardial infarction, cumulative morbidity, readmissions, unplanned readmissions, and reoperations. Multivariable analyses found associations between greater mFI-5 score and cumulative morbidity (odds ratio [OR] = 1.95, confidence interval [CI]: 1.29-2.96, P = .002), any surgical complication (OR = 1.80, CI: 1.15-2.79, P = .010), readmission (OR = 1.81, CI: 1.01-3.26, P = .047), and reoperations (OR = 1.96, CI: 1.04-3.68, P = .037). CONCLUSION Evaluating mFI-5 can help assess the risk of postoperative complications for patients undergoing CM. LEVEL OF EVIDENCE Level 4.
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Affiliation(s)
- Afash Haleem
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - David Herz
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Keshav D Kumar
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Sree R Chinta
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Dhiraj R Sibala
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Michael Hegazin
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Jean Anderson Eloy
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA
- Center for Skull Base and Pituitary Surgery, Neurological Institute of New Jersey, Rutgers New Jersey Medical School, Newark, New Jersey, USA
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Paiz CC, Owodunni OP, Courville EN, Schmidt M, Alunday R, Bowers CA. Frailty Predicts 30-day mortality following major complications in neurosurgery patients: The risk analysis index has superior discrimination compared to modified frailty index-5 and increasing patient age. World Neurosurg X 2024; 23:100286. [PMID: 38516023 PMCID: PMC10955078 DOI: 10.1016/j.wnsx.2024.100286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 02/20/2024] [Indexed: 03/23/2024] Open
Abstract
Background Postoperative complications after cranial or spine surgery are prevalent, and frailty can be a key contributing patient factor. Therefore, we evaluated frailty's impact on 30-day mortality. We compared the discrimination for risk analysis index (RAI), modified frailty index-5 (mFI-5) and increasing patient age for predicting 30-day mortality. Methods Patients with major complications following neurosurgery procedures between 2012- 2020 in the ACS-NSQIP database were included. We employed receiver operating characteristic (ROC) curve and examined discrimination thresholds for RAI, mFI-5, and increasing patient age for 30-day mortality. Independent relationships were examined using multivariable analysis. Results There were 19,096 patients included in the study and in the ROC analysis for 30-day mortality, RAI showed superior discriminant validity threshold C-statistic 0.655 (95% CI: 0.644-0.666), compared to mFI-5 C-statistic 0.570 (95% CI 0.559-0.581), and increasing patient age C-statistic 0.607 (95% CI 0.595-0.619). When the patient population was divided into subsets based on the procedures type (spinal, cranial or other), spine procedures had the highest discriminant validity threshold for RAI (Cstatistic 0.717). Furthermore, there was a frailty risk tier dose response relationship with 30-day mortalityy (p<0.001). Conclusion When a major complication arises after neurosurgical procedures, frail patients have a higher likelihood of dying within 30 days than their non-frail counterparts. The RAI demonstrated a higher discriminant validity threshold than mFI-5 and increasing patient age, making it a more clinically relevant tool for identifying and stratifying patients by frailty risk tiers. These findings highlight the importance of initiatives geared toward optimizing frail patients, to mitigate long-term disability.
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Affiliation(s)
- Christopher C. Paiz
- New Mexico School of Medicine, Albuquerque, NM, USA
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
| | - Oluwafemi P. Owodunni
- Department of Emergency Medicine, University of New Mexico Hospital, Albuquerque, NM, USA
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
| | - Evan N. Courville
- Department of Neurosurgical Sciences, University of New Mexico Hospital, Albuquerque, NM, USA
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
| | - Meic Schmidt
- Department of Neurosurgical Sciences, University of New Mexico Hospital, Albuquerque, NM, USA
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
| | - Robert Alunday
- Department of Neurosurgical Sciences, University of New Mexico Hospital, Albuquerque, NM, USA
- Department of Emergency Medicine, University of New Mexico Hospital, Albuquerque, NM, USA
- Center for Adult Critical Care, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Christian A. Bowers
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
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Branstetter RM, Owodunni OP, Courville EN, Courville JT, Gagliardi TA, Conti JT, Schmidt MH, Bowers CA. The Weight of Frailty in Neurosurgery Patients: Analyzing the Combined Effect of Frailty and Body Mass Index on 30-Day Postoperative Mortality. World Neurosurg 2024; 184:e449-e459. [PMID: 38310945 DOI: 10.1016/j.wneu.2024.01.145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
OBJECTIVE There is a rising prevalence of overweight and obese persons in the US, and there is a paucity of information about the relationship between frailty and body mass index. Therefore, we examined discrimination thresholds and independent relationships of the risk analysis index (RAI), modified frailty index-5 (mFI-5), and increasing patient age in predicting 30-day postoperative mortality. METHODS This retrospective American College of Surgeons National Surgical Quality Improvement Program analysis compared all overweight or obese adult patients who underwent neurosurgery procedures between 2012 and 2020. We compared discrimination using receiver operating characteristic curve analysis for RAI, mFI-5, and increasing patient age. Furthermore, multivariable analyses, as well as subgroup analyses by procedure type i.e., spine, skull base, and other (vascular and functional) were performed, and reported as odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS We included 315,725/412,909 (76.5%) neurosurgery patients, with a median age of 59 years (interquartile range: 48-68), predominately White 76.7% and male 54.3%. Receiver operating characteristic analysis for 30-day postoperative mortality demonstrated a higher discriminatory threshold for RAI (C-statistic: 0.790, 95%CI: 0.782-0.800) compared to mFI-5 (C-statistic: 0.692, 95%CI: 0.620-0.638) and increasing patient age (C-statistic: 0.659, 95%CI: 0.650-0.668). Multivariable analyses showed a dose-dependent association and a larger magnitude of effect by RAI: frail patients OR: 11.82 (95%CI: 10.57-13.24), and very frail patients OR: 31.19 (95%CI: 24.87-39.12). A similar trend was observed in all subgroup analyses i.e., spine, skull base, and other (vascular and functional) procedures (P ≤ 0.001). CONCLUSIONS Increasing frailty was associated with a higher rate of 30-day postoperative mortality, with a dose-dependent effect. Furthermore, the RAI had a higher threshold for discrimination and larger effect sizes than mFI-5 and increasing patient age. These findings support RAI's use in preoperative assessments, as it has the potential to improve postoperative outcomes through targeted interventions.
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Affiliation(s)
- Robert M Branstetter
- Louisiana State University Health and Sciences Center School of Medicine, New Orleans, Louisiana, USA
| | - Oluwafemi P Owodunni
- Department of Emergency Medicine, University of New Mexico Hospital, Albuquerque, New Mexico, USA; Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico, USA.
| | - Evan N Courville
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico, USA; Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, USA
| | - Jordyn T Courville
- Louisiana State University Health and Sciences Center School of Medicine, New Orleans, Louisiana, USA
| | | | - Joseph T Conti
- New York Medical College School of Medicine, Valhalla, New York, USA
| | - Meic H Schmidt
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico, USA; Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, USA
| | - Christian A Bowers
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, USA
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Owodunni OP, Courville EN, Peter-Okaka U, Ricks CB, Schmidt MH, Bowers CA. Multiplicative effect of frailty and obesity on postoperative mortality following spine surgery: a deep dive into the frailty, obesity, and Clavien-Dindo dynamic. Int J Obes (Lond) 2024; 48:360-369. [PMID: 38110501 DOI: 10.1038/s41366-023-01423-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 11/10/2023] [Accepted: 11/22/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND/OBJECTIVES Obesity is a global health challenge that affects a large proportion of adults worldwide. Obesity and frailty pose considerable health risks due to their potential to interact and amplify one another's negative effects. Therefore, we sought to compare the discriminatory thresholds of the risk analysis index (RAI), 5-factor modified frailty index (m-FI-5) and patient age for the primary endpoint of postoperative mortality. SUBJECTS/METHODS We included spine surgery patients ≥18 years old, from the American College of Surgeons National Quality Improvement program database from 2012-2020, that were classified as obese. We performed receiver operating characteristic curve analysis to compare the discrimination threshold of RAI, mFI-5, and patient age for postoperative mortality. Proportional hazards risk-adjusted regressions were performed, and Hazard ratios and corresponding 95% Confidence intervals (CI) are reported. RESULTS Overall, there were 149 163 patients evaluated, and in the ROC analysis for postoperative mortality, RAI showed superior discrimination C-statistic 0.793 (95%CI: 0.773-0.813), compared to mFI-5 C-statistic 0.671 (95%CI 0.650-0.691), and patient age C-statistic 0.686 (95%CI 0.666-0.707). Risk-adjusted analyses were performed, and the RAI had a stepwise increasing effect size across frailty strata: typical patients HR 2.55 (95%CI 2.03-3.19), frail patients HR 3.48 (95%CI 2.49-4.86), and very frail patients HR 4.90 (95%CI 2.87-8.37). We found increasing postoperative mortality effect sizes within Clavein-Dindo complication strata, consistent across obesity categories, exponentially increasing with frailty, and multiplicatively enhanced within CD, frailty and obesity strata. CONCLUSION In this study of 149 163 patients classified as obese and undergoing spine procedures in an international prospective surgical database, the RAI demonstrated superior discrimination compared to the mFI-5 and patient age in predicting postoperative mortality risk. The deleterious effects of frailty and obesity were synergistic as their combined effect predicted worse outcomes.
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Affiliation(s)
- Oluwafemi P Owodunni
- Department of Emergency Medicine, University of New Mexico Hospital, Albuquerque, NM, USA.
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA.
| | - Evan N Courville
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Uchenna Peter-Okaka
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
| | - Christian B Ricks
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Meic H Schmidt
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Christian A Bowers
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
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Owodunni OP, Bowers CA. Letter to the Editor Regarding "Frailty Stratification Using the Modified 5-Item Frailty Index: Significant Variation Within Frailty Patients in Spine Surgery". World Neurosurg 2024; 182:222-223. [PMID: 38390881 DOI: 10.1016/j.wneu.2023.10.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 02/24/2024]
Affiliation(s)
- Oluwafemi P Owodunni
- Department of Emergency Medicine, University of New Mexico Hospital, Albuquerque, New Mexico, USA; Bowers Neurosurgical Frailty and Outcomes Data Science Laboratory, Albuquerque, New Mexico, USA.
| | - Christian A Bowers
- Bowers Neurosurgical Frailty and Outcomes Data Science Laboratory, Albuquerque, New Mexico, USA
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Gagliardi TA, Conti JT, Courville JT, Owodunni OP, Courville EN, Kazim SF, Schmidt MH, Bowers CA. The risk analysis index demonstrates exceptional discrimination in predicting frailty's impact on neurosurgical length of stay quality metrics. World J Surg 2024; 48:59-71. [PMID: 38686751 DOI: 10.1002/wjs.12020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 10/26/2023] [Indexed: 05/02/2024]
Abstract
BACKGROUND Quality measures determine reimbursement rates and penalties in value-based payment models. Frailty impacts these quality metrics across surgical specialties. We compared the discriminatory thresholds for the risk analysis index (RAI), modified frailty index-5 (mFI-5) and increasing patient age for the outcomes of extended length of stay (LOS [eLOS]), prolonged LOS within 30 days (pLOS), and protracted LOS (LOS > 30). METHODS Patients ≥18 years old who underwent neurosurgical procedures between 2012 and 2020 were queried from the ACS-NSQIP. We performed receiver operating characteristic analysis, and multivariable analyses to examine discriminatory thresholds and identify independent associations. RESULTS There were 411,605 patients included, with a median age of 59 years (IQR, 48-69), 52.2% male patients, and a white majority 75.2%. For eLOS: RAI C-statistic 0.653 (95% CI: 0.652-0.655), versus mFI-5 C-statistic 0.552 (95% CI: 0.550-0.554) and increasing patient age C-statistic 0.573 (95% CI: 0.571-0.575). Similar trends were observed for pLOS- RAI: 0.718, mFI-5: 0.568, increasing patient age: 0.559, and for LOS>30- RAI: 0.714, mFI-5: 0.548, and increasing patient age: 0.506. Patients with major complications had eLOS 10.1%, pLOS 26.5%, and LOS >30 45.5%. RAI showed a larger effect for all three outcomes, and major complications in multivariable analyses. CONCLUSION Increasing frailty was associated with three key quality metrics that is, eLOS, pLOS, LOS > 30 after neurosurgical procedures. The RAI demonstrated a higher discriminating threshold compared to both mFI-5 and increasing patient age. Preoperative frailty screening may improve quality metrics through risk mitigation strategies and better preoperative communication with patients and their families.
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Affiliation(s)
| | - Joseph T Conti
- New York Medical College School of Medicine, Valhalla, New York, USA
| | - Jordyn T Courville
- Louisiana State University Health and Sciences Center School of Medicine, Shreveport, Louisiana, USA
| | - Oluwafemi P Owodunni
- Department of Emergency Medicine, University of New Mexico Hospital, Albuquerque, New Mexico, USA
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico, USA
| | - Evan N Courville
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico, USA
- Department of Neurosurgical Sciences, University of New Mexico Hospital, Albuquerque, New Mexico, USA
| | - Syed F Kazim
- Department of Neurosurgical Sciences, University of New Mexico Hospital, Albuquerque, New Mexico, USA
| | - Meic H Schmidt
- Department of Neurosurgical Sciences, University of New Mexico Hospital, Albuquerque, New Mexico, USA
| | - Christian A Bowers
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico, USA
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