Inpatient care cost, duration, and acute complications associated with BMI in children and adults hospitalized for COVID-19

Adult obesity treatment and prevention: A trans-agency commentary on the research landscape, gaps, and future opportunities

Given the high and growing prevalence of obesity among adults in the United States, obesity treatment and prevention are important topics in biomedical and public health research. Although researchers recognize the significance of this problem, much remains unknown about safe and effective prevention and treatment of obesity in adults. In response to the worsening obesity epidemic and the many unknowns regarding the disease, a group of key scientific and program staff members of the National Institutes of Health (NIH) and other federal and non-government agencies gathered virtually in September 2021 to discuss the current state of obesity research, research gaps, and opportunities for future research in adult obesity prevention and treatment. The current article synthesizes presentations given by attendees and shares their organizations' current initiatives and identified gaps and opportunities. By integrating the information discussed in the meeting and current initiatives, we identify potential targets and overlapping priorities for future research, including health equity and disparities in obesity, the heterogeneity of obesity, and the use of technological and innovative approaches in interventions.

Associations between BMI and hospital resource use in patients hospitalised for COVID-19 in England: a community-based cohort study

BACKGROUND

Excess weight is a major risk factor for severe disease after infection with SARS-CoV-2. However, the effect of BMI on COVID-19 hospital resource use has not been fully quantified. This study aimed to identify the association between BMI and hospital resource use for COVID-19 admissions with the intention of informing future national hospital resource allocation.

METHODS

In this community-based cohort study, we analysed patient-level data from 57 415 patients admitted to hospital in England with COVID-19 between April 1, 2020, and Dec 31, 2021. Patients who were aged 20-99 years, had been registered with a general practitioner (GP) surgery that contributed to the QResearch database for the whole preceding year (2019) with at least one BMI value measured before April 1, 2020, available in their GP record, and were admitted to hospital for COVID-19 were included. Outcomes of interest were duration of hospital stay, transfer to an intensive care unit (ICU), and duration of ICU stay. Costs of hospitalisation were estimated from these outcomes. Generalised linear and logit models were used to estimate associations between BMI and hospital resource use outcomes.

FINDINGS

Patients living with obesity (BMI >30·0 kg/m2) had longer hospital stays relative to patients in the reference BMI group (18·5-25·0 kg/m2; IRR 1·07, 95% CI 1·03-1·10); the reference group had a mean length of stay of 8·82 days (95% CI 8·62-9·01). Patients living with obesity were more likely to be admitted to ICU than the reference group (OR 2·02, 95% CI 1·86-2·19); the reference group had a mean probability of ICU admission of 5·9% (95% CI 5·5-6·3). No association was found between BMI and duration of ICU stay. The mean cost of COVID-19 hospitalisation was £19 877 (SD 17 918) in the reference BMI group. Hospital costs were estimated to be £2736 (95% CI 2224-3248) higher for patients living with obesity.

INTERPRETATION

Patients admitted to hospital with COVID-19 with a BMI above the healthy range had longer stays, were more likely to be admitted to ICU, and had higher health-care costs associated with hospital treatment of COVID-19 infection as a result. This information can inform national resource allocation to match hospital capacity to areas where BMI profiles indicate higher demand.

FUNDING

National Institute for Health Research.

Studying the impact of COVID-19 mitigation policies on childhood obesity, health behaviors, and disparities in an observational cohort: Protocol for the COVID-19 Family Study

BACKGROUND

COVID-19 pandemic control policies, including school closures, suspended extra-curricular activities, and social distancing, were introduced to prevent viral transmission, and disrupted children's daily routines, health behaviors, and wellness. This observational cohort study among 697 families with children or adolescents, based on the Family Stress Model, aims to: 1) evaluate pre- to during-pandemic changes in child health behaviors (diet, physical activity, sleep) and weight gain, 2) identify mechanisms explaining the changes, and 3) determine projected healthcare costs on weight gain and obesity. Each aim includes an examination by racial and ethnic, socioeconomic, and geographic disparities.

METHODS

The study employs a mixed methods design, recruiting children and their caregivers from two obesity prevention trials halted in 2020. Enrolled participants complete annual surveys to assess child health behaviors, family resources, routines, and demographics, and home environment in 2020-2022. Height and weight are measured annually in 2021-2022. Annual semi-structured interviews are conducted within a subsample to understand mechanisms of observed changes. Multilevel mixed models and mediation analyses are used to examine changes in child health behaviors and weight gain and mechanisms underlying the changes. Qualitative data are analyzed within and across time points and integrated with quantitative findings to further explain mechanisms. Markov models are used to determine healthcare costs for unhealthy child behaviors and weight gain.

CONCLUSION

Findings from this study will aid in understanding pandemic-related changes in child health behaviors and weight status and will provide insights for the implementation of future programs and policies to improve child and family wellness.

Addressing Chronic Conditions and Social Determinants of Health During the COVID-19 Pandemic

Chronic conditions or diseases are defined as persistent conditions lasting ≥ 1 year requiring either ongoing medical attention or limiting daily living or both (Agency for Healthcare Research and Quality (AHRQ) in Programs: SHARE approach workshop, Agency for Healthcare Research and Quality (AHRQ) (2016) Programs: SHARE approach workshop 2016. https://www.ahrq.gov/professionals/education/curriculum-tools/shareddecisionmaking/workshop/index.html . Accessed 20 Jan 2017). Physical chronic conditions, including diabetes, hypertension, heart disease, arthritis, and stroke, are prevalent, especially in the older population. Over 90% of older adults have at least 1 and 77% have ≥ 2 chronic conditions (American Diabetes Association (ADA) in Statistics about diabetes, American Diabetes Association (ADA) (2023) Statistics about diabetes. https://diabetes.org/about-us/statistics/about-diabetes . Accessed 20 Apr 2023). Chronic conditions account for $4.1 trillion of the nation's annual healthcare expenditure (Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion in Health and economic costs of chronic conditions, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion. Health and Economic Costs of Chronic Conditions (2022). https://www.cdc.gov/chronicdisease/about/costs/index.htm . Accessed 7 Jan 2023). There are marked disparities based on age, color, and income, with older people, people of color, and lower-income people having higher treatment costs or even lost wages in response to having chronic conditions. Chronic conditions are the on-the-top leading causes for death with diabetes being the top 7th in the USA in 2019 (Ferguson in Metabolic Syndrome Related Dis, Ferguson et al., Metab Syndr Relat Disord 21:177-187, 2023).

Direct medical cost of COVID-19 in children hospitalized at a tertiary referral healthcare center in Mexico City

Introduction

Despite the end of the COVID-19 pandemic being declared by the WHO, the economic consequences are far from over. One of these implications was the cost of inpatient care for health institutions. To date, some studies have examined the economic burden of COVID-19 in the adult population but only a few have focused on child populations.

Objective

To estimate the direct medical costs of COVID-19, focusing on children in Mexico.

Method

Data about resources consumed during hospital stays were extracted from the medical records of patients hospitalized at a Mexican tertiary healthcare institution. Other sources of information were the unit prices of inputs and the salaries of health personnel. A micro-costing methodology was used to obtain cost results by age group over different hospital areas. Data analysis was performed with descriptive statistics and regression models to evaluate the predictors of total cost.

Results

One hundred and ten medical records were reviewed of which 57.3% corresponded to male patients and the mean age was 7.2 years old. The estimated average cost per patient was US$5,943 (95% CI: US$4,249-7,637). When the costs of the three clinical areas were summed, only the 5-10 years old group showed a maximum cost of US$14,000. The regression analysis revealed the following factors as significant: sex, age, staying at an emergency room, having a positive bacterial culture, and having comorbidities.

Discussion

The cost results were somewhat similar to those reported in children from the USA, but only regarding low severity COVID-19 cases. However, comparability between these types of studies should be done with caution due to the huge differences between the healthcare systems of countries. The study cost results may help public decision-makers in budget planning and as inputs for future cost-effectiveness studies about interventions regarding COVID-19.

Therapeutic Activity of Green Tea Epigallocatechin-3-Gallate on Metabolic Diseases and Non-Alcoholic Fatty Liver Diseases: The Current Updates

Green tea polyphenols have numerous functions including antioxidation and modulation of various cellular proteins and are thus beneficial against metabolic diseases including obesity, type 2 diabetes, cardiovascular and non-alcoholic fatty liver diseases, and their comorbidities. Epigallocatechin-3-gallate (EGCG) is the most abundant polyphenol in green tea and is attributed to antioxidant and free radical scavenging activities, and the likelihood of targeting multiple metabolic pathways. It has been shown to exhibit anti-obesity, anti-inflammatory, anti-diabetic, anti-arteriosclerotic, and weight-reducing effects in humans. Worldwide, the incidences of metabolic diseases have been escalating across all age groups in modern society. Therefore, EGCG is being increasingly investigated to address the problems. This review presents the current updates on the effects of EGCG on metabolic diseases, and highlights evidence related to its safety. Collectively, this review brings more evidence for therapeutic application and further studies on EGCG and its derivatives to alleviate metabolic diseases and non-alcoholic fatty liver diseases.

Children's rates of BMI change during pre-pandemic and two COVID-19 pandemic periods, IQVIA Ambulatory Electronic Medical Record, January 2018 Through November 2021

OBJECTIVE

Many US youth experienced accelerated weight gain during the early COVID-19 pandemic. Using an ambulatory electronic health record data set, the authors compared children's rates of BMI change in three periods: pre-pandemic (January 2018-February 2020), early pandemic (March-December 2020), and later pandemic (January-November 2021).

METHODS

This study used mixed-effects models to examine differences in rates of change in BMI, weight, and obesity prevalence among the three periods. Covariates included time as a continuous variable, a variable indicating in which period each BMI was taken, sex, age, and initial BMI category.

RESULTS

In a longitudinal cohort of 241,600 children aged 2 through 19 years with ≥4 BMI measurements, the monthly rates of BMI change (kilograms per meters squared) were 0.056 (95% CI: 0.056-0.057) in the pre-pandemic period, 0.104 (95% CI: 0.102-0.106) in the early pandemic, and 0.035 (95% CI: 0.033-0.036) in the later pandemic. The estimated prevalence of obesity in this cohort was 22.5% by November 2021.

CONCLUSIONS

In this large, geographically diverse cohort of US youth, accelerated rates of BMI change observed during 2020 were largely attenuated in 2021. Positive rates indicate continued weight gain rather than loss, albeit at a slower rate. Childhood obesity prevalence remained high, which raises concern about long-term consequences of excess weight and underscores the importance of healthy lifestyle interventions.

Burden of illness associated with overweight and obesity in patients hospitalized with COVID-19 in the United States: analysis of the premier healthcare database from April 1, 2020 to October 31, 2020

BACKGROUND

SARS-CoV-2 (COVID-19) continues to be a major public health issue. Obesity is a major risk factor for disease severity and mortality associated with COVID-19.

OBJECTIVE

This study sought to estimate the healthcare resource use and cost outcomes in patients hospitalized with COVID-19 in the United States (US) according to body mass index (BMI) class.

METHODS

Retrospective cross-sectional study analyzing data from the Premier Healthcare COVID-19 database for hospital length-of-stay (LOS), intensive care unit (ICU) admission, ICU LOS, invasive mechanical ventilator use, invasive mechanical ventilator use duration, in-hospital mortality, and total hospital costs from hospital charge data.

RESULTS

After adjustment for patient age, gender, and race, patients with COVID-19 and overweight or obesity had longer durations for mean hospital LOS (normal BMI = 7.4 days, class 3 obesity = 9.4 days, p < .0001) and ICU LOS (normal BMI = 6.1 days, class 3 obesity = 9.5 days, p < .0001) than patients with normal weight. Patients with normal BMI had fewer days on invasive mechanical ventilation compared to patients with overweight and obesity classes 1-3 (6.7 days vs. 7.8, 10.1, 11.5, and 12.4, respectively, p < .0001). The predicted probability of in-hospital mortality was nearly twice that of patients with class 3 obesity compared to patients with normal BMI (15.0 vs 8.1%, p < .0001). Mean (standard deviation) total hospital costs for a patient with class 3 obesity is estimated at $26,545 ($24,433-$28,839), 1.5 times greater than the mean for a patient with a normal BMI at $17,588 ($16,298-$18,981).

CONCLUSIONS

Increasing levels of BMI class, from overweight to obesity class 3, are significantly associated with higher levels of healthcare resource utilization and costs in adult patients hospitalized with COVID-19 in the US. Effective treatment of overweight and obesity are needed to reduce the burden of illness associated with COVID-19.