2020
DOI: 10.1186/s40463-020-00450-5
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Impact of frailty on inpatient outcomes in thyroid cancer surgery: 10-year results from the U.S. national inpatient sample

Abstract: Background: Frailty is linked to perioperative morbidity and mortality. We evaluated the impact of preoperative frailty on inpatient outcomes of patients undergoing surgery for thyroid malignancy. Methods: This population-based, retrospective observational study extracted data of hospitalized patients who were 18 years and older with a primary diagnosis of thyroid cancer undergoing thyroidectomy from the US Nationwide Inpatient Sample (NIS) database (2005-2014). Participants were stratified into frail and non-… Show more

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Cited by 16 publications
(16 citation statements)
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“…21, 783.22), muscular wasting and disuse atrophy (728.2), senility without mention of psychosis (797), and malaise and fatigue (780.79), as validated in previous studies. [9][10][11][12][13] To balance the covariates and minimize the effect of confounding bias as well as adjust for the severity of comorbidities, the inverse probability of treatment weighting (IPTW) with complex survey data was used. Propensity score weighting was done per the method of DuGoff et al by weighting patient demographics, hospital characteristics, and comorbidities using a modified version of the Elixhauser Comorbidity Index (ECI).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…21, 783.22), muscular wasting and disuse atrophy (728.2), senility without mention of psychosis (797), and malaise and fatigue (780.79), as validated in previous studies. [9][10][11][12][13] To balance the covariates and minimize the effect of confounding bias as well as adjust for the severity of comorbidities, the inverse probability of treatment weighting (IPTW) with complex survey data was used. Propensity score weighting was done per the method of DuGoff et al by weighting patient demographics, hospital characteristics, and comorbidities using a modified version of the Elixhauser Comorbidity Index (ECI).…”
Section: Methodsmentioning
confidence: 99%
“…Frail patients were identified as those with at least one of the following ICD-9 codes: pressure ulcer (707.0X, 707.2X), cachexia (799.4), adult failure to thrive (783.7), muscle weakness (728.87), debility (799.3), difficulty in walking (719.7), history of fall (V15.88), abnormality of gait (781.2), anorexia (783.0), abnormal loss of weight and underweight (783.21, 783.22), muscular wasting and disuse atrophy (728.2), senility without mention of psychosis (797), and malaise and fatigue (780.79), as validated in previous studies. 9-13…”
Section: Methodsmentioning
confidence: 99%
“…Older age SOF (Choe et al, 2017), CFS (Misawa et al, 2020), Fried's frailty phenotype (Goldstein et al, 2020), mFI b -5 (Miller et al, 2020), EFS (Richards et al, 2021), ACG (Xu et al, 2020) Men: mFI b -5 (Miller et al, 2020), mFI b (Vermillion et al, 2017) Race White: ACG (Xu et al, 2020) 2/2 (100%)…”
Section: General Characteristicsmentioning
confidence: 99%
“…Frailty was used as the exposure variable to divide the cohort into frailty-present and frailty-absent cohorts. Like previous National Inpatient Studies, this study employs the Johns Hopkins ACG definition of frailty [20][21][22], a diagnostic index composed of criteria, such as dementia, housing needs and homelessness, difficulties with ambulation, weight loss and feeding difficulties, vision impairment, frequent falls, urinary and fecal incontinence, malnutrition, and pressure ulcerations. The primary endpoints investigated in this study are mortality, length of stay, hospitalization costs, and disposition at discharge.…”
Section: Study Cohort and Study Variablesmentioning
confidence: 99%