Prevalence and healthcare costs of obesity-related comorbidities: evidence from an electronic medical records system in the United States

Li, Qian; Blume, S.; Huang, Jie; Hammer, Mette; Ganz, Michael L.

doi:10.3111/13696998.2015.1067623

Cited by 60 publications

(52 citation statements)

References 14 publications

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“…Li et al provided the prevalence and healthcare costs of obesity‐related comorbidities (OCR). They identified 10 comorbidities, prevalent above a 10% threshold, which were more prevalent in the population of people with obesity than for the population of people without obesity and identified that hypertensive diseases, dyslipidaemia and osteoarthritis were the most expensive ORCs for this population . Given how costly hypertensive disease and dyslipidaemia are as co‐morbidities it is imperative to understand the prevalence of multimorbidity patterns that include them.…”

Section: Discussionsupporting

confidence: 65%

“…Alternatively providing unnecessary services leads to resource wastage. 33 Our results provide prevalent patterns of three or more chronic conditions including obesity. 32 Patients need these issues addressed as soon as possible during care, which requires early screening and targeted management.…”

Section: Patient Segmentation With Fp-growthmentioning

confidence: 72%

“…Failure to meet healthcare requirements typically causes poor clinical outcomes and increases in health service usage over an extended period. Alternatively providing unnecessary services leads to resource wastage . Our results provide prevalent patterns of three or more chronic conditions including obesity.…”

Section: Discussionmentioning

confidence: 99%

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Identifying obesity‐related multimorbidity combinations in the United States

Madlock‐Brown

Reynolds

2019

Clinical Obesity

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Summary Interest in understanding the effects of multimorbidity on outcomes has increased in recent years. This paper presents the most common obesity‐related groupings of multimorbidity in the United States. Using Cerner HealthFacts data, we applied the frequent pattern growth algorithm to identify prevalent multimorbidity groupings of 3 or more diseases (one being obesity) by race using a dataset of 574 172 patients with obesity from all over the United States. We set the minimum prevalence to 10% and identified groupings of ICD10‐CM diagnoses that occur in our dataset at or above the minimum prevalence level. We provide binomial proportion confidence interval estimates to demonstrate the validity of the proportions. We performed g‐test for independence to validate differences in prevalence by race. We found 18 multimorbidity combinations with prevalence higher than or equal to 10%. Our results indicate that there are multiple common multimorbidities groupings for patients with obesity. Each multimorbidity combination is composed of diseases from the following clinical categories: endocrine, nutritional and metabolic diseases; diseases of the circulatory system; diseases of the digestive system; diseases of the nervous system; and diseases of the musculoskeletal system and connective tissue. For each multimorbidity pattern, the prevalence was found to be significantly different by race according to the g‐test with P‐value < .001. Most frequent patterns include essential hypertension or disorder of lipid metabolism. This study identifies common groupings of multimorbidity. We believe our data can be useful for those developing integrated care plans, particularly for those serving diverse communities.

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Section: Discussionsupporting

confidence: 65%

Section: Patient Segmentation With Fp-growthmentioning

confidence: 72%

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Identifying obesity‐related multimorbidity combinations in the United States

Madlock‐Brown

Reynolds

2019

Clinical Obesity

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“…23 A similar pattern has been observed in developed nations. 24,25 Our findings also point out that primary care services have strategic relevance regarding preventive actions aimed towards controlling obesity and its future complications.…”

Section: Discussionmentioning

confidence: 85%

Determinants of outpatient expenditure within primary care in the Brazilian National Health System

et al. 2017

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CONTEXT AND OBJECTIVE: One of the big challenges facing governments worldwide is the financing of healthcare systems. Thus, it is necessary to understand the factors and key components associated with healthcare expenditure. The aim here was to identify demographic, socioeconomic, lifestyle and clinical factors associated with direct healthcare expenditure within primary care, among adults attended through the Brazilian National Health System in the city of Bauru. DESIGN AND SETTING: Cross-sectional study conducted in five primary care units in Bauru (SP), Brazil. METHODS: Healthcare expenditure over the last 12 months was assessed through medical records of adults aged 50 years or more. Annual healthcare expenditure was assessed in terms of medication, laboratory tests, medical consultations and the total. Body mass index, waist circumference, hypertension, age, sex, physical activity and smoking were assessed through face-to-face interviews. RESULTS:The total healthcare expenditure for 963 participants of this survey was US$ 112,849.74 (46.9% consultations, 35.2% medication and 17.9% laboratory tests). Expenditure on medication was associated with overweight (odds ratio, OR = 1.80; 95% confidence interval, CI: 1.07-3.01), hypertension (OR = 3.04; 95% CI: 1.91-4.82) and moderate physical activity (OR = 0.56; 95% CI: 0.38-0.81). Expenditure on consultations was associated with hypertension (OR = 1.67; 95% CI: 1.12-2.47) and female sex (OR = 1.70; 95% CI: 1.14-2.55). CONCLUSIONS: Our results showed that overweight, lower levels of physical activity and hypertension were independent risk factors associated with higher healthcare expenditure within primary care. RESUMO

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“…The obesity incidence in the United States has been increasing since the late 20th century, with 30% to 40% of adults currently classified as overweight and 35% classified as obese [1–3]. Increasing body mass is associated with comorbid conditions that adversely affect life expectancy and overall medical expenditures [4, 5].…”

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confidence: 99%

Operative Risk for Major Lung Resection Increases at Extremes of Body Mass Index

Williams

Gulack

Kim

et al. 2017

The Annals of Thoracic Surgery

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Background Although body mass index (BMI) has been used in risk stratification for lung resection, many models only take obesity into account. Recent studies have demonstrated that underweight patients also experience increased postoperative complications. We explored the relationship of extremes of BMI to outcomes after lung resection for non-small cell cancer. Methods Patients in the Society of Thoracic Surgeons General Thoracic Surgery Database (2009 to 2014) undergoing elective lung resection for cancer were evaluated. Multivariable logistic regression was used to adjust for potential confounders including functional status and spirometry. Results We evaluated 41,446 patients (median 68 years of age; 53% female) grouped by BMI: underweight (<18.5 kg/m2; 3.0%), normal (18.5 to 24.9 kg/m2; 33.5%), overweight (25 to 29.9 kg/m2; 35.4%), obese I (30 to 34.9 kg/m2; 18.1%), obese II (35 to 39.9 kg/m2; 6.4%), and obese III (≥40 kg/m2; 3.6%). Pulmonary complication rates were higher in underweight and obese III patients compared to normal BMI patients (p < 0.001). On multivariable analysis, compared to patients with normal BMI, being underweight was associated with an increased risk of pulmonary complications (adjusted odds ratio [OR]: 1.41, 95% confidence interval [CI]: 1.16 to 1.70) and any postoperative event (adjusted OR: 1.44, 95% CI: 1.26 to 1.64). Obese III patients had an increased risk of any major postoperative complication (adjusted OR: 1.18, 95% CI: 1.02 to 1.36). Overweight and obese class I to II patients had a lower risk of pulmonary complications and any postoperative event. Conclusions BMI is associated with postoperative complications after lung resection for cancer. Being underweight or severely overweight is associated with an increased risk of complications, whereas being overweight or moderately obese appears to have a protective effect.

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Prevalence and healthcare costs of obesity-related comorbidities: evidence from an electronic medical records system in the United States

Abstract: ORCs are associated with substantial economic burden, especially for those requiring continuous treatments.

Cited by 60 publications

References 14 publications

Identifying obesity‐related multimorbidity combinations in the United States

Identifying obesity‐related multimorbidity combinations in the United States

Determinants of outpatient expenditure within primary care in the Brazilian National Health System

Operative Risk for Major Lung Resection Increases at Extremes of Body Mass Index

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