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DOI: 10.1055/s-0044-1801349
Impact of Frailty on Inpatient Mortality and Resource Utilization for Primary Pulmonary Hypertension
Funding Source This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.Abstract
Background Frailty has been associated with inferior outcomes in patients with primary pulmonary hypertension (PPH). There is a lack of national data to assess if hospital frailty risk score (HFRS) is associated with worse inpatient outcomes in PPH.
Methods Our retrospective study used the Nationwide Readmission Database (NRD). First, we extracted all cases older than 18 years who were discharged with a principal diagnosis of PPH between January and November 2016 to 2019 to allow for a 30-day follow-up. Appropriate survey and domain analyses were applied to obtain national estimates using SAS 9.4.
Results We identified 4,555 cases. HFRS <5 was present in 56% (n = 2,555) of the cohort. Patients with an intermediate-to-high frailty risk score (HFRS ≥5) were older than those with a low frailty risk score (HFRS <5), with a mean age of 61 versus 54 years (p < 0.01), and had slightly fewer women (75 vs. 78%, p = 0.09). Patients with HFRS >5 had a higher prevalence of dementia, depression, diabetes mellitus, malignancy, acute encephalopathy, coagulopathy, heart failure, and chronic (liver and renal) diseases (p < 0.01). Also, they had higher inpatient mortality during index admission (14 vs. 2%, p < 0.001), and all-cause 30-day readmission rates (38 vs. 33%, p = 0.01). Univariate analysis suggests a positive correlation between the degree of frailty and the odds of inpatient mortality (referenced to HFRS <5). The HFRS 5 to 10 group has an odds ratio (OR) of 5 (95% confidence interval [CI]: 3.3–8), the HFRS 10 to 15 group has an OR of 14 (95% CI: 8–23), and the HFRS >15 group has an OR of 20 (95% CI: 9–45). Even after adjusting for age, gender, and significant comorbidities, the single most important factor associated with higher odds of inpatient mortality was HFRS >5 (OR: 5.5 [95% CI: 3.7–8.3], p < 0.001) followed by acute myocardial infarction, acute encephalopathy, heart failure, chronic liver disease, and malnutrition. Length of stay had linear trend with HFRS (mean of 6 days for HFRS <5 vs. 11 days for HFRS 5–10 vs. 19 days for HFRS >10, p < 0.001).
Conclusion Adverse inpatient outcomes correlate with the severity of HFRS in PPH.
Previous Presentation
Rauf R and Al-Ahmad M. Impact of Frailty on Inpatient Mortality and Resource Utilization for Primary Pulmonary Hypertension [Conference Presentation], Society for Cardiovascular Angiography & Interventions 2024 Scientific Sessions, Long Beach, CA; May 2, 2024.
Authors' Contribution
M.A.M.A. contributed to the conceptualization, investigation, methodology, formal analysis, data curation, visualization, and project administration and supervision. R.R. contributed to the investigation, visualization, and drafting of the original manuscript. C.G. and R.R. reviewed and edited the manuscript.
Publication History
Article published online:
08 January 2025
© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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References
- 1 Firth AL, Mandel J, Yuan JXJ. Idiopathic pulmonary arterial hypertension. Dis Model Mech 2010; 3 (5-6): 268-273
- 2 Zhang C, Tsang Y, He J, Panjabi S. Predicting risk of 1-year hospitalization among patients with pulmonary arterial hypertension. Adv Ther 2023; 40 (05) 2481-2492
- 3 Morley JE, Vellas B, van Kan GA. et al. Frailty consensus: a call to action. J Am Med Dir Assoc 2013; 14 (06) 392-397
- 4 Bernabeu-Mora R, García-Guillamón G, Valera-Novella E, Giménez-Giménez LM, Escolar-Reina P, Medina-Mirapeix F. Frailty is a predictive factor of readmission within 90 days of hospitalization for acute exacerbations of chronic obstructive pulmonary disease: a longitudinal study. Ther Adv Respir Dis 2017; 11 (10) 383-392
- 5 Boyd CM, Xue QL, Simpson CF, Guralnik JM, Fried LP. Frailty, hospitalization, and progression of disability in a cohort of disabled older women. Am J Med 2005; 118 (11) 1225-1231
- 6 ICD-10. American Medical Association. December 18, 2023. Accessed July 3, 2024, at: https://www.ama-assn.org/topics/icd-10
- 7 Seib CD, Rochefort H, Chomsky-Higgins K. et al. Association of patient frailty with increased morbidity after common ambulatory general surgery operations. JAMA Surg 2018; 153 (02) 160-168
- 8 Makary MA, Segev DL, Pronovost PJ. et al. Frailty as a predictor of surgical outcomes in older patients. J Am Coll Surg 2010; 210 (06) 901-908
- 9 Hadaya J, Sanaiha Y, Juillard C, Benharash P. Impact of frailty on clinical outcomes and resource use following emergency general surgery in the United States. PLoS One 2021; 16 (07) e0255122
- 10 Cacciatore F, Abete P, Mazzella F. et al. Frailty predicts long-term mortality in elderly subjects with chronic heart failure. Eur J Clin Invest 2005; 35 (12) 723-730
- 11 Ushida K, Shimizu A, Hori S, Yamamoto Y, Momosaki R. Hospital frailty risk score predicts outcomes in chronic obstructive pulmonary disease exacerbations. Arch Gerontol Geriatr 2022; 100: 104658
- 12 Wang L, Zhang X, Liu X. Prevalence and clinical impact of frailty in COPD: a systematic review and meta-analysis. BMC Pulm Med 2023; 23 (01) 164
- 13 Vidán MT, Blaya-Novakova V, Sánchez E, Ortiz J, Serra-Rexach JA, Bueno H. Prevalence and prognostic impact of frailty and its components in non-dependent elderly patients with heart failure. Eur J Heart Fail 2016; 18 (07) 869-875
- 14 Gilbert T, Neuburger J, Kraindler J. et al. Development and validation of a hospital frailty risk score focusing on older people in acute care settings using electronic hospital records: an observational study. Lancet 2018; 391 (10132): 1775-1782
- 15 Sankar A, Beattie WS, Wijeysundera DN. How can we identify the high-risk patient?. Curr Opin Crit Care 2015; 21 (04) 328-335
- 16 Moore BJ, White S, Washington R, Coenen N, Elixhauser A. Identifying increased risk of readmission and in-hospital mortality using hospital administrative data: the AHRQ Elixhauser Comorbidity Index. Med Care 2017; 55 (07) 698-705
- 17 Guan C, Niu H. Frailty assessment in older adults with chronic obstructive respiratory diseases. Clin Interv Aging 2018; 13: 1513-1524
- 18 Dinesh V, Pierce R, Hespe L. et al. The relationship between rehabilitation and frailty in advanced heart or lung disease. Transplant Direct 2024; 10 (04) e1606
- 19 Abizanda P, López MD, García VP. et al. Effects of an oral nutritional supplementation plus physical exercise intervention on the physical function, nutritional status, and quality of life in frail institutionalized older adults: the ACTIVNES study. J Am Med Dir Assoc 2015; 16 (05) 439.e9-439.e16
- 20 Fragala MS, Dam TTL, Barber V. et al. Strength and function response to clinical interventions of older women categorized by weakness and low lean mass using classifications from the Foundation for the National Institute of Health sarcopenia project. J Gerontol A Biol Sci Med Sci 2015; 70 (02) 202-209