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Fang J, Liang H, Chen M, Zhao Y, Wei L. Association of preoperative cognitive frailty with postoperative complications in older patients under general anesthesia: a prospective cohort study. BMC Geriatr 2024; 24:851. [PMID: 39427111 PMCID: PMC11491029 DOI: 10.1186/s12877-024-05431-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 10/03/2024] [Indexed: 10/21/2024] Open
Abstract
BACKGROUND Cognitive frailty (CF) is characterized by the coexistence of physical frailty and cognitive impairment, and it is associated with adverse health outcomes. Older adults are particularly vulnerable to CF due to factors such as age-related brain changes and the presence of comorbidities. OBJECTIVE To investigate the effect of preoperative CF on postoperative complications in older patients. METHODS This prospective cohort study was conducted among 253 patients aged 60-85 years, who underwent elective orthopedic and abdominal surgery (with a postoperative hospital stay of ≥ 3 days) at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine from May 2023 to November 2023. CF was assessed using the Montreal Cognitive Assessment (MoCA) for the cognitive status and the Fried criteria for five frailty scales. Participants were split into four groups: Group A (neither frailty nor cognitive impairment), Group B (frailty without cognitive impairment), Group C (cognitive impairment without frailty), and Group D (cognitive frailty). The primary outcome was postoperative complications, while secondary outcomes included mobility disability, prolonged hospital stay (PLOS), re-operation and 90-day readmission. RESULTS The median age (interquartile range) of participants was 69 (65-73) years, of which 40.3% were male. The prevalence of CF was 17.8%. The incidence of postoperative complications was 18.2% in Group A, 50.0% in Group B, 37.4% in Group C, and 75.6% in Group D. Multivariate analysis revealed that, compared to the control group (without cognitive impairment or frailty), patients with CF had a significantly higher risk of postoperative complications (OR, 12.86; 95%CI, 4.23-39.08). "Patients with frailty without cognitive impairment" had an increased risk (OR, 6.53; 95%CI, 2.04-20.9), while "those with cognitive impairment without frailty" also showed a higher risk (OR, 3.46; 95%CI, 1.57-7.64). CONCLUSIONS Cognitive frailty is significantly associated with an increased risk of postoperative adverse outcomes in older patients undergoing orthopedic and abdominal surgeries with general anesthesia. It indicates that clinicians should pay much attention to these older adults with CF.
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Affiliation(s)
- Jiamin Fang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Hao Liang
- Department of Nursing, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China
| | - Muxin Chen
- Department of Pulmonary and Critical Care Medicine Ward 1, Qingyuan Hospital Affiliated to Guangzhou Medical University (Qingyuan People 's Hospital), Qingyuan, 511518, China
| | - Yidi Zhao
- College of Nursing, Hunan University of Traditional Chinese Medicine, Changsha, 410208, China
| | - Lin Wei
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Department of Nursing, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese medicine, Dade Road 111, Yuexiu District, Guangzhou, Guangdong, 510120, China.
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Fields DP, Varga G, Alattar A, Shanahan R, Das A, Hamilton DK, Okonkwo DO, Kanter AS, Forsythe RM, Weiner DK. Preinjury Frailty Predicts 1-Year Mortality in Older Adults With Traumatic Spine Fractures. Neurosurgery 2024; 95:676-681. [PMID: 38551355 DOI: 10.1227/neu.0000000000002913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/30/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Nearly 30% of older adults presenting with isolated spine fractures will die within 1 year. Attempts to ameliorate this alarming statistic are hindered by our inability to identify relevant risk factors. The primary objective of this study was to develop a prediction model that identifies feasible targets to limit 1-year mortality. METHODS This retrospective cohort study included 703 older adults (65 years or older) admitted to a level I trauma center with isolated spine fractures, without neural deficit, from January 2013 to January 2018. Multivariable analysis was used to select for independently significant patient demographics, frailty variables, injury metrics, and management decisions to incorporate into distinct logistic regression models predicting 1-year mortality. Variables were considered significant, if P < .05. RESULTS Of the 703 older adults, 199 (28.3%) died after hospital discharge, but within 1 year of index trauma. Risk Analysis Index (RAI; odds ratio [OR]: 1.116; 95% CI: 1.087-1.149; P < .001) and ambulation requiring a cane (OR: 2.601; 95% CI: 1.151-5.799; P = .02) or walker (OR: 4.942; 95% CI: 2.698-9.196; P < .001), ie, frailty variables, were associated with increased odds of 1-year mortality. Spine trauma scales were not associated with 1-year mortality. Longer hospital stays (OR: 1.112; 95% CI: 1.034-1.196; P = .004) and nursing home discharge (OR: 3.881; 95% CI: 2.070-7.378; P < .001) were associated with increased odds, while discharge to rehab (OR: 0.361; 95% CI: 0.155-0.799; P = .014) decreased 1-year mortality odds. A "preinjury" regression model incorporating Risk Analysis Index and ambulation status resulted in an area under receiver operating characteristic curve (AUROCC) of 0.914 (95% CI: 0.863-0.965). A "postinjury" model incorporating Glasgow Coma Scale, hospital stay duration, and discharge disposition resulted in AUROCC of 0.746 (95% CI: 0.642-0.849). Combining elements of the preinjury and postinjury models into an "integrated model" produced an AUROCC of 0.908 (95% CI: 0.852-0.965). CONCLUSION Preinjury frailty measures are most strongly associated with 1-year mortality outcomes in older adults with isolated spine fractures. Incorporating injury metrics or management decisions did not enhance predictive accuracy. Further work is needed to understand how targeting frailty may reduce mortality.
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Affiliation(s)
- Daryl P Fields
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - Gregory Varga
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - Ali Alattar
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - Regan Shanahan
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - Ashtah Das
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - David K Hamilton
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - Adam S Kanter
- Hoag Neurosciences Institute, Newport Beach , California , USA
| | - Raquel M Forsythe
- Department of Surgery, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
| | - Debra K Weiner
- Department of Medicine (Geriatric Medicine), Psychiatry, Anesthesiology, and Clinical and Translational Sciences, Geriatric Research, Education and Clinical Center-Veterans Affairs Healthcare System, University of Pittsburgh, Pittsburgh , Pennsylvania , USA
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Park CM, Lie JJ, Yang L, Cooper Z, Kim DH. Impact of peri-operative frailty and operative stress on post-discharge mortality, readmission and days at home in Medicare beneficiaries. Anaesthesia 2024; 79:829-838. [PMID: 38775305 PMCID: PMC11246804 DOI: 10.1111/anae.16301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Understanding how patients' frailty and the physiological stress of surgical procedures affect postoperative outcomes may inform risk stratification of older patients undergoing surgery. The objective of the study was to examine the association of peri-operative frailty with mortality, 30-day readmission and days at home after non-cardiac surgical procedures of different physiological stress. METHODS This retrospective study used Medicare claims data from a 7.125% random sample of Medicare fee-for-service beneficiaries from 2015 to 2019 who were aged ≥ 65 years and underwent non-cardiac surgical procedure listed in the Operative Stress Score categories. The exposure of the study was claims-based frailty index (robust, < 0.15; pre-frail, 0.15 to < 0.25; mildly frail, 0.25 to < 0.35; and moderate-to-severely frail, ≥ 0.35) with Operative Stress Score categories being 1, very low stress to 5, very high stress. The primary outcome was all-cause mortality at 30 days and 365 days after the surgical procedure. RESULTS In total, 1,019,938 patients (mean (SD) age of 76.1 (7.3) years; 52.3% female; 16.8% frail) were included. The cumulative incidence of mortality generally increased with Operative Stress Score category, ranging from 5.0% (Operative Stress Score 2) to 24.9% (Operative Stress Score 4) at 365 days. Within each category, increasing frailty was associated with mortality at 30 days (hazard ratio comparing moderate-to-severe frailty vs. robust ranged from 1.59-3.91) and at 365 days (hazard ratio 1.30-4.04). The variation in postoperative outcomes by patients' frailty level was much greater than the variation by the operative stress category. CONCLUSIONS These results emphasise routine frailty screening before major and minor non-cardiac procedures and the need for greater clinician awareness of postoperative outcomes beyond 30 days in shared decision-making with older adults with frailty.
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Affiliation(s)
- Chan Mi Park
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jessica J. Lie
- Department of Surgery, University of British Columbia, Vancouver, BC, Canada
| | - Laiji Yang
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
| | - Zara Cooper
- Harvard Medical School, Boston, MA, USA
- Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston, MA, USA
| | - Dae Hyun Kim
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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Penfold RS, Hunt A. Redefining risk in peri-operative frailty: towards routine frailty assessment and a whole pathway approach. Anaesthesia 2024; 79:797-800. [PMID: 38775328 DOI: 10.1111/anae.16264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2024] [Indexed: 07/16/2024]
Affiliation(s)
- Rose S Penfold
- Department of Ageing and Health, Usher Institute, University of Edinburgh and Advanced Care Research Centre, University of Edinburgh, Scotland, UK
| | - Adam Hunt
- Research Department of Targeted Intervention, University College London, London, UK
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Shibata K, Kameshima M, Adachi T, Kito H, Tanaka C, Sano T, Tanaka M, Suzuki Y, Tamaki M, Kitamura H. Association between preoperative phase angle and all-cause mortality after cardiovascular surgery: A retrospective cohort study. J Cachexia Sarcopenia Muscle 2024; 15:1558-1567. [PMID: 38859616 PMCID: PMC11294016 DOI: 10.1002/jcsm.13514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 04/20/2024] [Accepted: 05/15/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND The importance of preoperative physical function assessment for post-operative intervention has been reported in older patients undergoing cardiovascular surgery. Phase angle (PhA), measured using bioelectrical impedance analysis, is an indicator of cellular health and integrity and is reported as a prognostic factor in several chronic diseases; however, its association with the long-term prognosis of cardiovascular surgery remains unclear. This study aimed to investigate the prognostic value of PhA for long-term mortality in patients undergoing cardiovascular surgery. METHODS This retrospective cohort study included consecutive patients who underwent elective cardiovascular surgery between October 2016 and March 2021 at Nagoya Heart Center, Japan. PhA was assessed using bioelectrical impedance analysis before surgery, and physical function measures (gait speed, grip strength and short physical performance battery [SPPB]) were measured synchronously. The association between PhA and all-cause mortality after discharge was assessed using Kaplan-Meier and multivariate Cox regression analyses. The incremental prognostic value of PhA was compared with other physical function measures using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS A total of 858 patients were included in the present analysis (mean age = 68.4 ± 11.9 years, 67.6% male). PhA positively correlated with body mass index (ρ = 0.38, P < 0.001), skeletal muscle mass index (ρ = 0.58, P < 0.001), usual gait speed (ρ = 0.44, P < 0.001), grip strength (ρ = 0.73, P < 0.001) and SPPB (ρ = 0.51, P < 0.001). The mean follow-up period, within which 44 (4.7%) died, was 908.9 ± 499.9 days for the entire cohort. Kaplan-Meier survival curves based on the PhA tertiles showed that higher PhA was associated with better survival (log-rank test, P < 0.001). The Cox regression analysis showed the independent association of PhA with mortality risk (hazard ratio: 0.91 per 0.1° increment; 95% confidence interval [CI]: 0.87-0.95; P < 0.001). The NRI and IDI showed significant improvements in predicting mortality after adding PhA to the clinical model consisting of age, sex and cardiac and renal function (NRI: 0.426, 95% CI: 0.124-0.729, P = 0.006; IDI: 0.037, 95% CI: 0.012-0.062, P = 0.003). The predictive model consisting of the clinical model and PhA was superior to the model consisting of the clinical model and each of the other physical function indicators (P < 0.05). CONCLUSIONS PhA correlated with physical function and independently predicted long-term mortality after cardiovascular surgery. The additive prognostic value of PhA compared with the other physical function measures suggests the clinical usefulness of preoperative PhA for risk stratification in planning post-operative treatment and rehabilitation.
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Affiliation(s)
- Kenichi Shibata
- Department of Cardiac RehabilitationNagoya Heart CenterNagoyaJapan
| | | | - Takuji Adachi
- Department of Integrated Health SciencesNagoya University Graduate School of MedicineNagoyaJapan
| | - Hisako Kito
- Department of Cardiac RehabilitationNagoya Heart CenterNagoyaJapan
| | - Chikako Tanaka
- Department of Cardiac RehabilitationNagoya Heart CenterNagoyaJapan
| | - Taisei Sano
- Department of Cardiac RehabilitationNagoya Heart CenterNagoyaJapan
| | - Mizuki Tanaka
- Department of Cardiac RehabilitationNagoya Heart CenterNagoyaJapan
| | | | - Mototsugu Tamaki
- Department of Cardiovascular SurgeryNagoya Heart CanterNagoyaJapan
| | - Hideki Kitamura
- Department of Cardiovascular SurgeryNagoya Heart CanterNagoyaJapan
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Yu J, Khamzina Y, Kennedy J, Liang NL, Hall DE, Arya S, Tzeng E, Reitz KM. The association between frailty and outcomes following ruptured abdominal aortic aneurysm repair. J Vasc Surg 2024; 80:379-388.e3. [PMID: 38614142 DOI: 10.1016/j.jvs.2024.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/28/2024] [Accepted: 04/07/2024] [Indexed: 04/15/2024]
Abstract
OBJECTIVE Endovascular aortic repair (EVAR) is a less invasive method than the more physiologically stressful open surgical repair (OSR) for patients with anatomically appropriate abdominal aortic aneurysms (AAAs). Early postoperative outcomes are associated with both patients; physiologic reserve and the physiologic stresses of the surgical intervention. Among frail patients with reduced physiologic reserve, the stress of an aortic rupture in combination with the stress of an operative repair are less well tolerated, raising the risk of complications and mortality. This study aims to evaluate the difference in association between frailty and outcomes among patients undergoing minimally invasive EVAR and the physiologically more stressful OSR for ruptured AAAs (rAAAs). METHODS Our retrospective cohort study included adults undergoing rAAA repair in the Vascular Quality Initiative from 2010 to 2022. The validated Risk Analysis Index (RAI) (robust, ≤20; normal, 21-29; frail, 30-39; very frail, ≥40) quantified frailty. The association between the primary outcome of 1-year mortality and frailty status as well as repair type were compared using multivariable Cox models generating adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs). Interaction terms evaluated the association's moderation. RESULTS We identified 5806 patients (age, 72 ± 9 years; 77% male; EVAR, 65%; robust, 6%; normal, 48%; frail, 36%; very, frail 10%) with a 53% observed 1-year mortality rate following rAAA repair. OSR (aHR, 1.43; 95% CI, 1.19-1.73) was associated with increased 1-year mortality when compared with EVAR. Increasing frailty status (frail aHR, 1.26; 95% CI, 1.00-1.59; very frail aHR, 1.64; 95% CI, 1.26-2.13) was associated with increased 1-year mortality, which was moderated by repair type (P-interaction < .05). OSR was associated with increased 1-year mortality in normal (aHR, 1.49; 95% CI, 1.20-1.87) and frail (aHR, 1.51; 95% CI, 1.20-1.89), but not among robust (aHR, 0.88; 95% CI, 0.59-1.32) and very frail (aHR, 1.29; 95% CI, 0.97-1.72) patients. CONCLUSIONS Frailty and OSR were associated with increased adjusted risk of 1-year mortality following rAAA repair. Among normal and frail patients, OSR was associated with an increased adjusted risk of 1-year mortality when compared with EVAR. However, there was no difference between OSR and EVAR among robust patients who can well tolerate the stress of OSR and among very frail patients who are unable to withstand the surgical stress from rAAA regardless of repair type.
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Affiliation(s)
- Jia Yu
- Division of Vascular Surgery, University of Pittsburgh, Pittsburgh, PA
| | | | - Jason Kennedy
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Nathan L Liang
- Division of Vascular Surgery, University of Pittsburgh, Pittsburgh, PA; Department of Surgery, University of Pittsburgh, Pittsburgh, PA; Department of Vascular Surgery, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA
| | - Daniel E Hall
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA; Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA; Surgery Service, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA; Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Shipra Arya
- Division of Vascular Surgery, Stanford University School of Medicine, Stanford, PA
| | - Edith Tzeng
- Division of Vascular Surgery, University of Pittsburgh, Pittsburgh, PA; Department of Surgery, University of Pittsburgh, Pittsburgh, PA; Department of Vascular Surgery, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA
| | - Katherine M Reitz
- Division of Vascular Surgery, University of Pittsburgh, Pittsburgh, PA; Department of Surgery, University of Pittsburgh, Pittsburgh, PA; Department of Vascular Surgery, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA.
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Leigard E, Hertzberg D, Konrad D, Bell M. Increasing perioperative age and comorbidity: a 16-year cohort study at two University hospital sites in Sweden. Int J Surg 2024; 110:4124-4131. [PMID: 38498387 PMCID: PMC11254224 DOI: 10.1097/js9.0000000000001326] [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: 12/07/2023] [Accepted: 03/03/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Increasing life expectancy affects all aspects of healthcare. During surgery, elderly patients are prone to complications and have a higher risk of death. The authors aimed to investigate if adult patients undergoing surgery at a large Swedish university hospital were getting older and sicker over time and if this potential shift in age and illness severity was associated with higher patient mortality rates. MATERIALS AND METHODS This was a 16-year cohort study on all surgical procedures performed in adult patients 2006-2021 at two sites of Karolinska University Hospital. Study data was obtained from the surgical system, electronic medical records, and cause-of-death register. Information on age, sex, American Society of Anesthesiologists (ASA) classification, date, type, acuity and duration of surgery was collected. ICD codes were used to calculate the Charlson comorbidity index (CCI). Short-term, medium-term and long-term mortality rates were assessed. Logistic regression models were used to evaluate changes over time. RESULTS There were 622 814 surgical procedures 2006-2021. Age, ASA classification, and CCI increased over time ( P <0.0001). The proportions of age older than or equal to 60 years increased from 41.8 to 52.8% and of ASA class greater than or equal to 3 from 22.5 to 47.6%. Comparing 2018-2021 with 2006-2009, odds ratios (95% CIs) of 30-day, 90-day and 365-day mortality, adjusted for age, sex, non-elective surgery and ASA classification, decreased significantly to 0.75 (0.71-0.79), 0.72 (0.69-0.76), and 0.76 (0.74-0.79), respectively. CONCLUSION Although the surgical population got older and sicker during the 16-year study period, short-term, medium-term and long-term mortality rates decreased significantly. These demographic shifts must be taken into account when planning for future healthcare needs to preserve patient safety.
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Affiliation(s)
- Ellen Leigard
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Hertzberg
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - David Konrad
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Max Bell
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
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Fereydooni A, Johnson CE, Brooke BS, Arya S. Decision making in the frail vascular surgery patient: A scoping review. Semin Vasc Surg 2024; 37:224-239. [PMID: 39152001 DOI: 10.1053/j.semvascsurg.2024.04.003] [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: 02/19/2024] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 08/19/2024]
Abstract
Increasing evidence highlights the adverse impact of frailty and reduced physiologic reserve on surgical outcomes. Therefore, identification of frailty is essential for older adults being evaluated for vascular surgery procedures. Numerous frailty assessment tools are available to quantify the level of frailty and assist in preoperative decision making for these older patients. This review evaluates traditional and novel frailty metrics for their scientific validation, limitations, and clinical utility in vascular surgery decision-making.
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Affiliation(s)
- Arash Fereydooni
- Division of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, 780 Welch Road, Cj350i, MC 5639, Palo Alto, CA, 94304
| | - Cali E Johnson
- Division of Vascular Surgery, Department of Surgery, University of Utah Health, Salt Lake City, UT
| | - Benjamin S Brooke
- Division of Vascular Surgery, Department of Surgery, University of Utah Health, Salt Lake City, UT
| | - Shipra Arya
- Division of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, 780 Welch Road, Cj350i, MC 5639, Palo Alto, CA, 94304; Surgery Service Line, Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA.
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Dicpinigaitis AJ, Khamzina Y, Hall DE, Nassereldine H, Kennedy J, Seymour CW, Schmidt M, Reitz KM, Bowers CA. Adaptation of the Risk Analysis Index for Frailty Assessment Using Diagnostic Codes. JAMA Netw Open 2024; 7:e2413166. [PMID: 38787554 PMCID: PMC11127118 DOI: 10.1001/jamanetworkopen.2024.13166] [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: 01/19/2024] [Accepted: 03/23/2024] [Indexed: 05/25/2024] Open
Abstract
Importance Frailty is associated with adverse outcomes after even minor physiologic stressors. The validated Risk Analysis Index (RAI) quantifies frailty; however, existing methods limit application to in-person interview (clinical RAI) and quality improvement datasets (administrative RAI). Objective To expand the utility of the RAI utility to available International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) administrative data, using the National Inpatient Sample (NIS). Design, Setting, and Participants RAI parameters were systematically adapted to ICD-10-CM codes (RAI-ICD) and were derived (NIS 2019) and validated (NIS 2020). The primary analysis included survey-weighed discharge data among adults undergoing major surgical procedures. Additional external validation occurred by including all operative and nonoperative hospitalizations in the NIS (2020) and in a multihospital health care system (UPMC, 2021-2022). Data analysis was conducted from January to May 2023. Exposures RAI parameters and in-hospital mortality. Main Outcomes and Measures The association of RAI parameters with in-hospital mortality was calculated and weighted using logistic regression, generating an integerized RAI-ICD score. After initial validation, thresholds defining categories of frailty were selected by a full complement of test statistics. Rates of elective admission, length of stay, hospital charges, and in-hospital mortality were compared across frailty categories. C statistics estimated model discrimination. Results RAI-ICD parameters were weighted in the 9 548 206 patients who were hospitalized (mean [SE] age, 55.4 (0.1) years; 3 742 330 male [weighted percentage, 39.2%] and 5 804 431 female [weighted percentage, 60.8%]), modeling in-hospital mortality (2.1%; 95% CI, 2.1%-2.2%) with excellent derivation discrimination (C statistic, 0.810; 95% CI, 0.808-0.813). The 11 RAI-ICD parameters were adapted to 323 ICD-10-CM codes. The operative validation population of 8 113 950 patients (mean [SE] age, 54.4 (0.1) years; 3 148 273 male [weighted percentage, 38.8%] and 4 965 737 female [weighted percentage, 61.2%]; in-hospital mortality, 2.5% [95% CI, 2.4%-2.5%]) mirrored the derivation population. In validation, the weighted and integerized RAI-ICD yielded good to excellent discrimination in the NIS operative sample (C statistic, 0.784; 95% CI, 0.782-0.786), NIS operative and nonoperative sample (C statistic, 0.778; 95% CI, 0.777-0.779), and the UPMC operative and nonoperative sample (C statistic, 0.860; 95% CI, 0.857-0.862). Thresholds defining robust (RAI-ICD <27), normal (RAI-ICD, 27-35), frail (RAI-ICD, 36-45), and very frail (RAI-ICD >45) strata of frailty maximized precision (F1 = 0.33) and sensitivity and specificity (Matthews correlation coefficient = 0.26). Adverse outcomes increased with increasing frailty. Conclusion and Relevance In this cohort study of hospitalized adults, the RAI-ICD was rigorously adapted, derived, and validated. These findings suggest that the RAI-ICD can extend the quantification of frailty to inpatient adult ICD-10-CM-coded patient care datasets.
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Affiliation(s)
- Alis J. Dicpinigaitis
- Department of Neurology, New York Presbyterian–Weill Cornell Medical Center, New York, New York
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico
| | | | - Daniel E. Hall
- Department of Neurology, New York Presbyterian–Weill Cornell Medical Center, New York, New York
- Department of Surgery, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Wolff Center, UPMC, Pittsburgh, Pennsylvania
| | - Hasan Nassereldine
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jason Kennedy
- Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Christopher W. Seymour
- Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Meic Schmidt
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico
| | - Katherine M. Reitz
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
- Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Vascular Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Christian A. Bowers
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico
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Yuan J, Liang Z, Geoffrey MB, Xie Y, Chen S, Liu J, Xia Y, Li H, Zhao Y, Mao Y, Xing N, Yang J, Wang Z, Xing F. Exploring the Median Effective Dose of Ciprofol for Anesthesia Induction in Elderly Patients: Impact of Frailty on ED 50. Drug Des Devel Ther 2024; 18:1025-1034. [PMID: 38585256 PMCID: PMC10999214 DOI: 10.2147/dddt.s453486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/24/2024] [Indexed: 04/09/2024] Open
Abstract
Purpose Explore the median effective dose of ciprofol for inducing loss of consciousness in elderly patients and investigate how frailty influences the ED50 of ciprofol in elderly patients. Patients and Methods A total of 26 non-frail patients and 28 frail patients aged 65-78 years, with BMI ranging from 15 to 28 kg/m2, and classified as ASA grade II or III were selected. Patients were divided into two groups according to frailty: non-frail patients (CFS<4), frail patients (CFS≥4). With an initial dose of 0.3 mg/kg for elderly non-frail patients and 0.25 mg/kg for elderly frail patients, using the up-and-down Dixon method, and the next patient's dose was dependent on the previous patient's response. Demographic information, heart rate (HR), oxygen saturation (SpO2), mean blood pressure (MBP), and bispectral index (BIS) were recorded every 30 seconds, starting from the initiation of drug administration and continuing up to 3 minutes post-administration. Additionally, the total ciprofol dosage during induction, occurrences of hypotension, bradycardia, respiratory depression, and injection pain were recorded. Results The calculated ED50 (95% confidence interval [CI]) and ED95 (95% CI) values for ciprofol-induced loss of consciousness were as follows: 0.267 mg/kg (95% CI 0.250-0.284) and 0.301 mg/kg (95% CI 0.284-0.397) for elderly non-frail patients; and 0.263 mg/kg (95% CI 0.244-0.281) and 0.302 mg/kg (95% CI 0.283-0.412) for elderly frail patients. Importantly, no patients reported intravenous injection pain, required treatment for hypotension, or experienced significant bradycardia. Conclusion Frailty among elderly patients does not exert a notable impact on the median effective dose of ciprofol for anesthesia induction. Our findings suggest that anesthesiologists may forego the necessity of dosage adjustments when administering ciprofol for anesthesia induction in elderly frail patients.
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Affiliation(s)
- Jingjing Yuan
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
| | - Zenghui Liang
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
| | - Muhoza Bertrand Geoffrey
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
| | - Yanle Xie
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
| | - Shuhan Chen
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
| | - Jing Liu
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
| | - Yuzhong Xia
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
| | - Huixin Li
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
| | - Yanling Zhao
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
| | - Yuanyuan Mao
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
| | - Na Xing
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
| | - Jianjun Yang
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
| | - Zhongyu Wang
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
| | - Fei Xing
- Department of Anesthesiology, Pain and Perioperative Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, Henan Province, People’s Republic of China
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Prabhakar C, Ree RM. Don't just do something, stand there! Can J Anaesth 2024; 71:563-564. [PMID: 38498255 DOI: 10.1007/s12630-024-02731-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 03/20/2024] Open
Affiliation(s)
- Christopher Prabhakar
- Department of Anesthesia, St. Paul's Hospital, Providence Health Care, Vancouver, BC, Canada.
- Department of Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia, Vancouver, BC, Canada.
| | - Ronald M Ree
- Department of Anesthesia, St. Paul's Hospital, Providence Health Care, Vancouver, BC, Canada
- Department of Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia, Vancouver, BC, Canada
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12
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Farah E, Al Abbas A, Abreu AA, Cheng M, Yopp A, Wang S, Mansour J, Porembka M, Zeh HJ, Polanco PM. Minimally invasive pancreaticoduodenectomy: A favorable approach for frail patients with pancreatic cancer. Surgery 2024; 175:1168-1175. [PMID: 38307784 DOI: 10.1016/j.surg.2023.12.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/17/2023] [Accepted: 12/16/2023] [Indexed: 02/04/2024]
Abstract
BACKGROUND Within the past decade, minimally invasive pancreaticoduodenectomy has been increasingly adopted in high-volume cancer centers. Amid broader trends of a growing older population, the numbers of frail patients with cancer are expected to increase. In this study, we compared the postoperative outcomes of open pancreaticoduodenectomy and minimally invasive pancreaticoduodenectomy in frail patients with pancreatic ductal adenocarcinoma. METHODS Using the pancreatectomy-targeted American College of Surgeons-National Surgical Quality Improvement Program database (2014-2021), we identified pancreaticoduodenectomy cases for pancreatic ductal adenocarcinoma. Patients with a modified frailty index ≥2 were considered frail. We performed 2:1 (open pancreaticoduodenectomy to minimally invasive pancreaticoduodenectomy) optimal pair propensity score matching for both patient- and disease-specific characteristics. We evaluated baseline covariate balance for homogeneity and assessed 30-day postoperative outcomes: complications, discharge destination, major morbidity, and mortality. RESULTS We identified 3,143 frail patients who underwent pancreaticoduodenectomy for pancreatic ductal adenocarcinoma. Of those, 275 (9%) underwent minimally invasive pancreaticoduodenectomy. Minimally invasive pancreaticoduodenectomy was associated with a lower rate of any complications compared with open pancreaticoduodenectomy (43% vs 54%; P < .001), major morbidity (29% vs 35%; P = .042), and nonhome discharge (12% vs 17%; P = .022). When comparing the 2 minimally invasive pancreaticoduodenectomy approaches, robotic surgery was associated with fewer complications compared with laparoscopy (39% vs 51%; P = .040) and a lower mortality rate (1% vs 4%; P = .041) CONCLUSION: In frail patients with pancreatic cancer, minimally invasive pancreaticoduodenectomy was associated with better postoperative outcomes than open pancreaticoduodenectomy. This study builds on growing literature reporting that, when properly implemented, minimally invasive pancreaticoduodenectomy is associated with more favorable postoperative outcomes. Given the particularly high risk of complication in frail patients, implementing a preoperative frailty assessment can provide valuable insights to inform patient counseling.
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Affiliation(s)
- Emile Farah
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX. http://www.twitter.com/EmileFarah5
| | - Amr Al Abbas
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Andres A Abreu
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX. http://www.twitter.com/AndresAbreuMd
| | - Mingyuan Cheng
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Adam Yopp
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Sam Wang
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - John Mansour
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Matthew Porembka
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Herbert J Zeh
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Patricio M Polanco
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
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13
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Khajoueinejad N, Sarfaty E, Yu AT, Buseck A, Troob S, Imtiaz S, Mohammad A, Cha DE, Pletcher E, Gleeson E, Macfie R, Carr J, Hiotis SP, Golas B, Correa-Gallego C, Sarpel U, Magge D, Labow DM, Cohen NA. Preoperative Frailty and Malnutrition in Surgical Oncology Patients Predicts Higher Postoperative Adverse Events and Worse Survival: Results of a Blinded, Prospective Trial. Ann Surg Oncol 2024; 31:2668-2678. [PMID: 38127214 DOI: 10.1245/s10434-023-14693-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/16/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Frailty, a multidimensional state leading to reduced physiologic reserve, is associated with worse postoperative outcomes. Despite the availability of various frailty tools, surgeons often make subjective assessments of patients' ability to tolerate surgery. The Risk Analysis Index (RAI) is a validated preoperative frailty assessment tool that has not been studied in cancer patients with plans for curative-intent surgery. METHODS In this prospective, surgeon-blinded study, patients who had abdominal malignancy with plans for resection underwent preoperative frailty assessment with the RAI and nutrition assessment by measurement of albumin, prealbumin, and C-reactive protein (CRP). Postoperative outcomes and survival were assessed. RESULTS The study included 220 patients, 158 (72%) of whom were considered frail (RAI ≥21). Frail patients were more likely to be readmitted within 30 and 90 days, (16% vs. 3% [P = 0.006] and 16% vs. 5% [P = 0.025], respectively). Patients with abnormal CRP, prealbumin, and albumin experienced higher rates of unplanned intensive care unit admission (CRP [27% vs. 8%; P < 0.001], albumin [30% vs. 10%; P < 0.001], prealbumin [29% vs. 9%; P < 0.001]) and increased postoperative mortality at 90 and 180 days. Survival was similar for frail and non-frail patients. In the multivariate analysis, frailty remained an independent risk factor for readmission (hazard ratio, 5.58; 95% confidence interval, 1.39-22.15; P = 0.015). In the post hoc analysis using the pre-cancer RAI score, the postoperative outcomes did not differ between the frail and non-frail patients. CONCLUSION In conjunction with preoperative markers of nutrition, the RAI may be used to identify patients who may benefit from additional preoperative risk stratification and increased postoperative follow-up evaluation.
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Affiliation(s)
- Nazanin Khajoueinejad
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elad Sarfaty
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allen T Yu
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison Buseck
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Samantha Troob
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sayed Imtiaz
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ayman Mohammad
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Da Eun Cha
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eric Pletcher
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elizabeth Gleeson
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rebekah Macfie
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacquelyn Carr
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Spiros P Hiotis
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin Golas
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Camilo Correa-Gallego
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Umut Sarpel
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Deepa Magge
- Division of Surgical Oncology and Endocrine Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel M Labow
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Noah A Cohen
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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14
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Khajoueinejad N, Cohen NA. ASO Author Reflections: Preoperative Frailty and Nutritional Assessment of Patients Undergoing Oncologic Resections. Ann Surg Oncol 2024; 31:2709-2710. [PMID: 38161198 DOI: 10.1245/s10434-023-14825-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 12/07/2023] [Indexed: 01/03/2024]
Affiliation(s)
- Nazanin Khajoueinejad
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, USA.
| | - Noah A Cohen
- Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, USA
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15
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Flinn SJ, Silver DS, Hodges J, Bilderback AL, Buchanan D, Ludwig JM, Schuster J, Hall DE. Association of Frailty with Healthcare Utilization for Patients over One Year Following Surgical Evaluation. Ann Surg 2024:00000658-990000000-00760. [PMID: 38264904 PMCID: PMC11266522 DOI: 10.1097/sla.0000000000006218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
OBJECTIVE Characterize the distribution of healthcare utilization associated with pre-operative frailty in the year following evaluation by a surgeon. SUMMARY BACKGROUND DATA Frailty is associated with increased morbidity, mortality, and costs for surgical patients. However, the total financial burden for frail patients beyond the index surgery and inpatient stay remains unknown. METHODS Prospective cohort assembled from February 2016 to December 2020 within a multi-hospital integrated healthcare delivery and finance system (IDFS), from patients evaluated with the Risk Analysis Index (RAI) of frailty. Inclusion criteria: age greater than 18, valid RAI, membership in the IDFS Health Plan. Data were stratified by frailty and surgical status. RESULTS The mean (SD) age was 54.7 (16.1) and 58.2% female of the cohort (n=86,572). For all patients with reimbursement for surgery (n=53,856), frail and very frail patients incurred respective increases of 8% ( P =0.027) and 29% ( P <0.001) on utilization relative to the normal group. Robust patients saw a 52% ( P <0.001) decrease. This pattern was more pronounced in the cohort without surgery (n=32,716). The increase over normal utilization for frail and very frail patients increased to 23% ( P =0.004) and 68% ( P <0.001), respectively. Utilization among robust patients decreased 62% ( P <0.001). Increases among the frail were primarily due to increased inpatient medical and post-acute care services (all P <0.001). CONCLUSIONS Patient frailty is associated with increased total healthcare utilization, primarily via increased inpatient medical and post-acute care following surgery. Quantifying these frailty-related financial burdens may inform clinical decision making as well as the design of value-based reimbursement strategies.
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Affiliation(s)
- Stephen J. Flinn
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David S. Silver
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jacob Hodges
- Wolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | | | - Dan Buchanan
- Wolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | | | | | - Daniel E. Hall
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Wolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA
- Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
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16
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Zhang X, Zhang Z, Niu W. Concerns About a Frailty Screening Initiative and Postoperative Mortality. JAMA Surg 2023; 158:1353. [PMID: 37466975 DOI: 10.1001/jamasurg.2023.2857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Affiliation(s)
- Xiaoqian Zhang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Zhixin Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
- International Medical Services, China-Japan Friendship Hospital, Beijing, China
| | - Wenquan Niu
- Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
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17
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Estock JL, Pandalai PK, Johanning JM, Youk AO, Varley PR, Arya S, Massarweh NN, Hall DE. A Retrospective Cohort Study to Evaluate Adding Biomarkers to the Risk Analysis Index of Frailty. J Surg Res 2023; 292:130-136. [PMID: 37619497 DOI: 10.1016/j.jss.2023.07.034] [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: 04/12/2023] [Revised: 06/13/2023] [Accepted: 07/12/2023] [Indexed: 08/26/2023]
Abstract
INTRODUCTION The Risk Analysis Index (RAI) is a frailty assessment tool associated with adverse postoperative outcomes including 180 and 365-d mortality. However, the RAI has been criticized for only containing subjective inputs rather than including more objective components such as biomarkers. METHODS We conducted a retrospective cohort study to assess the benefit of adding common biomarkers to the RAI using the Veterans Affairs Surgical Quality Improvement Program (VASQIP) database. RAI plus body mass index (BMI), creatinine, hematocrit, and albumin were evaluated as individual and composite variables on 180-d postoperative mortality. RESULTS Among 480,731 noncardiac cases in VASQIP from 2010 to 2014, 324,320 (67%) met our inclusion criteria. Frail patients (RAI ≥30) made up to 13.0% of the sample. RAI demonstrated strong discrimination for 180-d mortality (c = 0.839 [0.836-0.843]). Discrimination significantly improved with the addition of Hematocrit (c = 0.862 [0.859-0.865]) and albumin (c = 0.870 [0.866-0.873]), but not for body mass index (BMI) or creatinine. However, calibration plots demonstrate that the improvement was primarily at high RAI values where the model overpredicts observed mortality. CONCLUSIONS While RAI's ability to predict the risk of 180-d postoperative mortality improves with the addition of certain biomarkers, this only observed in patients classified as very frail (RAI >49). Because very frail patients have significantly elevated observed and predicted mortality, the improved discrimination is likely of limited clinical utility for a frailty screening tool.
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Affiliation(s)
- Jamie L Estock
- Center for Health Equity Research and Promotion, VA Pittsburg Healthcare System, University Drive C, Pittsburgh, Pennsylvania.
| | | | - Jason M Johanning
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska
| | - Ada O Youk
- Center for Health Equity Research and Promotion, VA Pittsburg Healthcare System, University Drive C, Pittsburgh, Pennsylvania; Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Patrick R Varley
- Department of Surgery, University of Wisconsin, Madison, Wisconsin
| | - Shipra Arya
- Division of Vascular Surgery, Stanford University School of Medicine, Stanford, California
| | | | - Daniel E Hall
- Center for Health Equity Research and Promotion, VA Pittsburg Healthcare System, University Drive C, Pittsburgh, Pennsylvania; Department of Surgery, University of Pittsburgh, Pittsburg, Pennsylvania; Geriatric Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Wolff Center at UPMC, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
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18
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Varley PR, Buchanan D, Hall DE. Concerns About a Frailty Screening Initiative and Postoperative Mortality-Reply. JAMA Surg 2023; 158:1353-1354. [PMID: 37466936 DOI: 10.1001/jamasurg.2023.2858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Affiliation(s)
- Patrick R Varley
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison
- William S. Middleton Memorial VA, Madison, Wisconsin
- Wisconsin Surgical Outcomes Research Program (WiSOR), Madison
| | | | - Daniel E Hall
- Wolff Center at UPMC, Pittsburgh, Pennsylvania
- Department of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
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19
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McIsaac DI, Grudzinski AL, Aucoin SD. Preoperative frailty assessment: just do it! Can J Anaesth 2023; 70:1713-1718. [PMID: 37814118 DOI: 10.1007/s12630-023-02589-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 05/30/2023] [Accepted: 07/21/2023] [Indexed: 10/11/2023] Open
Affiliation(s)
- Daniel I McIsaac
- Department of Anesthesiology and Pain Medicine, University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada.
- Ottawa Hospital Research Institute, Ottawa, ON, Canada.
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
- Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Civic Campus, 1053 Carling Ave, Room B311, Ottawa, ON, K1Y 4E9, Canada.
| | - Alexa L Grudzinski
- Department of Anesthesiology and Pain Medicine, University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada
| | - Sylvie D Aucoin
- Department of Anesthesiology and Pain Medicine, University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
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Mady LJ, De Ravin E, Vohra V, Lu J, Newman JG, Hall DE, Dalton PH, Rowan NR. Exploring Olfactory Dysfunction as a Marker of Frailty and Postoperative Outcomes in Head and Neck Cancer. JAMA Otolaryngol Head Neck Surg 2023; 149:828-836. [PMID: 37498617 PMCID: PMC10375382 DOI: 10.1001/jamaoto.2023.1935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/05/2023] [Indexed: 07/28/2023]
Abstract
Importance Olfactory dysfunction (OD) is increasingly recognized as a robust marker of frailty and mortality. Despite broad recognition of frailty as a critical component of head and neck cancer (HNC) care, there is no standardized frailty assessment. Objective To assess the prevalence of OD and its association with frailty and postoperative outcomes in HNC. Design, Setting, and Participants In this prospective cohort study with enrollment between February 17, 2021, to September 29, 2021, at a tertiary academic medical center, 85 eligible adult patients with primary, treatment-naive HNC of mucosal or cutaneous origin were included. Patients with a history of COVID-19, neurocognitive, or primary smell/taste disorders were excluded. Exposures Prospective olfactory assessments (self-reported, visual analog scale [VAS] and psychophysical, University of Pennsylvania Smell Identification Test [UPSIT]) with concurrent frailty assessment (Risk Analysis Index [RAI]) were used. Olfactory-specific quality of life (QOL) was examined with brief Questionnaire of Olfactory Disorders-Negative Statements (QOD-NS). Main Outcome(s) and Measure(s) The primary outcome was the prevalence of OD as assessed by VAS (0-10, no to normal smell) and UPSIT (0-40, higher scores reflect better olfaction) and its association with frailty (RAI, 0-81, higher scores indicate greater frailty). For surgical patients, secondary outcomes were associations between OD and postoperative length of stay (LOS), 30-day postoperative outcomes, and QOD-NS (0-21, higher scores indicate worse QOL). Results Among 51 patients with HNC (mean [SD] age, 63 [10] years; 39 [77%] male participants; 41 [80%] White participants), 24 (47%) were frail, and 4 (8%) were very frail. Despite median (IQR) self-reported olfaction by VAS of 9 (8-10), 30 (59%) patients demonstrated measured OD with psychophysical testing. No meaningful association was found between self-reported and psychophysical testing (Hodges-Lehmann, <0.001; 95% CI, -2 to 1); a total of 46 (90%) patients did not report decreased olfaction-specific QOL. Median UPSIT scores were lower in frail patients (Hodges-Lehmann, 6; 95% CI, 2-12). Multivariate modeling demonstrated severe microsmia/anosmia was associated with 1.75 (95% CI, 1.09-2.80) times odds of being frail/very frail and approximately 3 days increased LOS (β, 2.96; 95% CI, 0.29-5.62). Conclusions and Relevance Although patients with HNC are unaware of olfactory changes, OD is common and may serve as a bellwether of frailty. In this prospective cohort study, a dose-dependent association was demonstrated between increasing degrees of OD and frailty, and the potential utility of olfaction was highlighted as a touchstone in the assessment of HNC frailty.
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Affiliation(s)
- Leila J. Mady
- Department of Otolaryngology–Head and Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Emma De Ravin
- Department of Otorhinolaryngology–Head and Neck Surgery, University of Pennsylvania, Philadelphia
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Varun Vohra
- Department of Otolaryngology–Head and Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Joseph Lu
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Jason G. Newman
- MUSC Hollings Cancer Center, Charleston, South Carolina
- Department of Otolaryngology–Head and Neck Surgery, Medical University of South Carolina, Charleston
| | - Daniel E. Hall
- Wolff Center at UPMC, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Geriatric Research Education and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Nicholas R. Rowan
- Department of Otolaryngology–Head and Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland
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George EL, Rothenberg KA, Barreto NB, Chen R, Trickey AW, Arya S. Simplifying Hospital Quality Comparisons for Vascular Surgery Using Center-Level Frailty Burden Rather Than Comorbidities. Ann Vasc Surg 2023; 95:262-270. [PMID: 37121337 DOI: 10.1016/j.avsg.2023.04.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/16/2023] [Accepted: 04/21/2023] [Indexed: 05/02/2023]
Abstract
BACKGROUND Failure to rescue (FtR), or inpatient death following complication, is a publicly reported hospital quality measure. Previous work has demonstrated significant variation in the proportion of frail patients across hospitals. However, frailty is not incorporated into risk-adjustment algorithms for hospital quality comparisons and risk adjustment is made by comorbidity scores. Our aim was to assess the impact of frailty on FtR quality measurement and as a means of risk adjustment. METHODS Patients undergoing open or endovascular aneurysm repair or lower extremity bypass in the Vascular Quality Initiative (VQI) at centers performing ≥ 25 vascular procedures annually (2003-2019) were included. Multivariable logistic regression evaluated in-hospital death using scaled hierarchical modeling clustering at the center level. Center FtR observed/expected ratios were compared with expected values adjusted for either standard comorbidity profiles or frailty as measured by the VQI Risk Analysis Index. Centers were divided into quartiles using VQI-linked American Hospital Association data to describe the hospital characteristics of centers whose ranks changed. RESULTS A total of 63,143 patients (213 centers) were included; 1,630 patients (2.58%) were classified as FtR. After accounting for center-level variability, frailty was associated with FtR [scaled odds ratio 1.9 (1.8-2.0), P < 0.001]. The comorbidity-centric and frailty-based models performed similarly in predicting FtR with C-statistics of 0.85 (0.84-0.86) and 0.82 (0.82-0.84), respectively. Overall changes in ranking based on observed/expected ratios were not statistically significant (P = 0.48). High and low performing centers had similar ranking using comorbidity-centric and frailty-based methods; however, centers in the middle of the performance spectrum saw more variability in ranking alterations. Forty nine (23%) of hospitals improved their ranking by five or more positions when using frailty versus comorbidity risk adjustment. The centers in Quartile 4, those who performed the highest number of vascular procedures annually, experience on average a significant improvement in hospital ranking when frailty was used for risk adjustment, whereas centers performing the fewest number of vascular procedures and the lowest proportion of vascular surgery cases annually (Quartile 1) saw a significant worsening of ranking position (all P < 0.05). However, total number of surgical procedures annually, total hospital beds, for-profit status, and teaching hospital status were not significantly associated with changes in rank. CONCLUSIONS A simple frailty-adjusted model has similar predictive abilities as a comorbidity-focused model for predicting a common quality metric that influences reimbursement. In addition to distilling the risk-adjustment algorithm to a few variables, frailty can be assessed preoperatively to develop quality improvement efforts for rescuing frail patients. Centers treating a greater proportion of frail patients and those who perform higher volumes of vascular surgery benefit from a risk adjustment strategy based on frailty.
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Affiliation(s)
- Elizabeth L George
- Division of Vascular & Endovascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA; Stanford-Surgery Policy Improvement Research & Education Center, Palo Alto, CA; Palo Alto Division, Veterans Affairs Health Care System, Surgical Service Line, Palo Alto, CA
| | - Kara A Rothenberg
- Stanford-Surgery Policy Improvement Research & Education Center, Palo Alto, CA; Division of Vascular & Endovascular Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, PA
| | - Nicolas B Barreto
- Stanford-Surgery Policy Improvement Research & Education Center, Palo Alto, CA
| | - Rui Chen
- Stanford-Surgery Policy Improvement Research & Education Center, Palo Alto, CA
| | - Amber W Trickey
- Stanford-Surgery Policy Improvement Research & Education Center, Palo Alto, CA
| | - Shipra Arya
- Division of Vascular & Endovascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA; Stanford-Surgery Policy Improvement Research & Education Center, Palo Alto, CA; Palo Alto Division, Veterans Affairs Health Care System, Surgical Service Line, Palo Alto, CA.
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