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ArticleDigestive diseases and sciences2024

Hidden Dangers of Frailty: Higher Mortality, Complications and Costs in Acute Pancreatitis.

Nishit Patel, Janak Bahirwani, Krishna Bodrya, Dhruvanshu Patel, Yecheskel Schneider

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Article in Digestive diseases and sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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5 authors.

Nishit PatelDepartment of Gastroenterology, St Luke's University Health Network, 701 ostrum street, Bethlehem, PA, 18015, USA.
Janak BahirwaniDepartment of Gastroenterology, St Luke's University Health Network, 701 ostrum street, Bethlehem, PA, 18015, USA. janaktb@gmail.com.
Krishna BodryaDepartment of Medicine, Lehigh Valley Health Network, Allentown, PA, USA.
Dhruvanshu PatelDepartment of Medicine, St Luke's University Health Network, Bethlehem, PA, USA.
Yecheskel SchneiderDepartment of Gastroenterology, St Luke's University Health Network, 701 ostrum street, Bethlehem, PA, 18015, USA.

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6 · The paper itself

Abstract

backgroundFrailty is a clinically recognizable state of increased vulnerability due to age-related decline in reserve and function across multiple physiologic systems that compromises the ability to cope with acute stress. As frailty is being identified as an important risk factor in outcomes of gastrointestinal pathologies, we aimed to assess outcomes in patients with acute pancreatitis within this cohort.

methodWe conducted a retrospective study using the Nationwide Inpatient Sample (NIS) database. ICD-10 codes were used to inquire for patients admitted with acute pancreatitis between September 2015 through 2017. ICD-10 codes corresponding to the Hospital Frailty Risk Score (HFRS) were used to divide the study sample into 2 cohorts: low risk (< 5 points) and intermediate or high risk (> 5 points). To calculate the points, we fitted a logistic regression model that included membership of the frail group as the binary dependent variable (frail vs. non-frail) and the set of ICD-10 codes as binary predictor variables (1 = present, 0 = absent for each code). To simplify the calculation and interpretation, we multiplied regression coefficients by five to create a points system, so that a certain number of points are awarded for each ICD-10 code and added together to create the final frailty risk score. Multivariate regression analysis was performed to find adjusted mortality.

resultsOut of a total of 1,267,744 patients admitted with acute pancreatitis, 728,953 (57.5%) were identified as intermediate and high risk (> 5 points) (study cohort) and 538,781 (42.5%) as low risk (< 5 points). The mean age in the study cohort was 64.8 ± 12.6 and that in the low-risk group was 58.6 ± 9.5. Most of the patients in both groups were males and Caucasians; Medicare was the predominant insurance provider. A majority of the admissions in both groups were in an urban teaching hospital and were emergency. (Table 1). The primary outcome was in-hospital mortality which was significantly higher in the study cohort as compared to the low-risk group (4.3% vs. 2.5%, p < 0.0001). The age-adjusted Odds ratio of mortality was 1.72(95% CI (Confidence Interval) 1.65-1.80, p < 0.05). When compared between the two groups; median length of stay (6 vs. 4); hospitalization cost ($14,412 vs. $10,193), disposition to a skilled nursing facility (SNF) (17.1% vs. 8.6%) and need for home health care (HHC) was significantly higher in the study cohort. Complications like septicemia, septic shock, and acute kidney injury were also higher in the study group (Table 2). Table 1 Baseline demographics of the cohort Characteristics Acute pancreatitis with High HES Frailty score (> 5, intermediate + high) Acute pancreatitis with low HES Frailty score (< 5) P-value N = 1,267,744 N = 728,953 (57.5%) N = 538,781 (42.5%) Age  Mean years (Mean ± SD) 64.8 ± 12.6 58.6 ± 9.5  < 0.001 Gender  < 0.001  Male 59.1% 52.3%  Female 40.9% 47.7% *Missing-475 Age groups  < 0.001  18-44 3.7% 14.3%  45-64 48% 52.9%  65-84 32.2% 28.7%  ≥ 85 16.1% 4.1% Race  < 0.001  Caucasians 67.4% 61.9%  African Americans 9.6% 16.8%  Others 23% 21.3% *Missing-10 Insurance type  < 0.001  Medicare 40.9% 36.3%  Medicaid 17.2% 24.3%  Private 31.8% 27.9%  Other 9.9% 11.4% *Missing-75 Active smoking 32.7% 37.9% 0.005 Biliary Stone 36.2% 16.7%  < 0.001 Admission Type  < 0.001  Emergent 93.7% 94.3%  Elective 6.3% 5.7% *Missing-2880 Hospital ownership/control  < 0.001  Rural 7.8% 10%  Urban nonteaching 26.3% 26.6%  Urban teaching 65.9% 63.4% Table 2 Outcomes Outcomes Acute pancreatitis with High HES Frailty score (> 5, intermediate + high) Acute pancreatitis with low HES Frailty score (< 5) P-value In-hospital mortality *Missing-920 4.3% 2.5%  < .0001 1.72(1.65-1.80)  < .0001 Length of stay, days (Median,IQR) 6(3-8) 4(2-6)  < .0001 Total hospitalization cost, $ (Median,IQR) 14,412(8843-20,216) 10,193(6840-13,842)  < .0001 In-Hospital Complications  ARDS 0.4% 0.3% 0.08  Ventilator dependence respiratory failure 0.23% 0.29% 0.25  Septicemia 15.2% 9.6%  < .0001  Septic Shock 6.1% 2.9%  < .0001  AKI 24.8% 14.9%  < .0001 Disposition  < .0001  Discharge to home 58.9% 74.9%  Transfer other: includes  Skilled Nursing Facility (SNF), Intermediate Care Facility (ICF), and another type of facility 17.1% 8.6%  Home health care 11.5% 8.1%  Against medical advice (AMA) 1.6% 3.4% *Missing-920

conclusionUsing frailty as a construct to identify those who are at greater risk for adverse outcomes, can help formulate interventions to target individualized reversible factors to improve outcomes in patients with acute pancreatitis. Future large-scale prospective studies are warranted to understand the dynamic and longitudinal relationship between pancreatitis and frailty.

Indexed as

FrailtyPancreatitisAcute DiseaseAdultAgedAged, 80 and overDatabases, FactualFemaleHospitalizationHospital MortalityHumansLength of StayMaleMiddle AgedRetrospective StudiesRisk AssessmentAcute pancreatitisFrailtyHospital frailty risk scoreIn-hospital mortality

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.