Impact of overweight and obesity on hospitalization: race and gender differences

Therapeutic Advances in Obesity: How Real-World Evidence Impacts Affordability Beyond Standard of Care

Obesity is currently considered a global epidemic, with rising prevalence worldwide and rather pessimistic projections. Based on its close interconnection with various co-morbidities, such as diabetes mellitus and cardiovascular disease, obesity is associated with significant increases in morbidity and mortality, while it also poses a substantial economic burden for national healthcare systems. Apparently, the majority of individuals classified as obese do not achieve adequate weight loss with the adoption of a healthy lifestyle intervention, including dietary modification and physical activity. Fortunately, during the last decade, a significant progress in pharmacotherapy of obesity has been observed, with the introduction of agents that have gained approval from regulatory authorities, namely semaglutide, liraglutide and tirzepatide, due to their impressive results in body weight reduction, alongside their beneficial, pleiotropic effects. The aim of the present review article is to discuss on evidence retrieved from real-world studies regarding the efficacy of those agents in obesity treatment, with emphasis on cost-effectiveness data, towards an effort to tackle efficiently the progression of obesity epidemic.

Impact of lower-respiratory tract infections on healthcare utilization and mortality in older adults: a Swedish population-based cohort study

BACKGROUND

Lower respiratory tract infections (LRTIs) have an immediate significant impact on morbidity and mortality among older adults. However, the impact following the infectious period of LRTI remains understudied. We aimed to assess the short- to long-term impact of LRTIs on hospitalization, mortality, and healthcare utilization in older adults.

METHODS

Data from the Swedish National Study of Aging and Care in Kungsholmen (SNAC-K) was analyzed, with data from 2001 to 2019 for mortality and 2001-2016 for healthcare utilization. LRTI-exposed participants were identified and matched with LRTI-nonexposed based on sociodemographics, lifestyle factors, and functional and clinical characteristics. Statistical models evaluated post-LRTI hospitalization risk, days of inpatient hospital admissions, healthcare visits, and mortality.

RESULTS

567 LRTIs-exposed participants during the study period and were matched with 1.701 unexposed individuals. LRTI-exposed individuals exhibited increased risk of hospitalization at 1-year (HR 2.14, CI 1.74, 2.63), 3-years (HR 1.74, CI 1.46, 2.07), and 5-years (HR 1.59, CI 1.33, 1.89). They also experienced longer post-LRTI hospital stays (IRR 1.40, CI 1.18, 1.66), more healthcare visits (IRR 1.47, CI 1.26, 1.71), specialist-care visits (IRR 1.46, CI 1.24, 1.73), and hospital admissions (IRR 1.57, CI 1.34, 1.83) compared to nonexposed participants over 16-years of potential follow-up. Additionally, the 19-year risk of mortality was higher among LRTI-exposed participants (HR 1.45, CI 1.24, 1.70). Men exhibited stronger associations with these risks compared to women.

CONCLUSIONS

LRTIs pose both short- and long-term risks for older adults, including increased risks of mortality, hospitalization, and healthcare visits that transpire beyond the acute infection period, although these effects diminish over time. Men exhibit higher risks across these outcomes compared to women. Given the potential preventability of LRTIs, further public health measures to mitigate infection risk are warranted.

Association of medical comorbidities in obese subjects diagnosed with heparin-induced thrombocytopenia

Objectives

Heparin-induced thrombocytopenia can occur in obese subjects. The medical comorbidities associated with obesity may contribute to the pathogenesis of this disease. It is unknown, however, which specific medical comorbidities and if higher odds of thrombosis are present in obese heparin-induced thrombocytopenia patients. We sought to determine whether obese heparin-induced thrombocytopenia subjects had higher odds of both comorbidities and thrombosis, hypothesizing that this patient population would have higher odds of both these conditions.

Methods

This was a multi-center retrospective study utilizing TriNetX©, an electronic health record database, in subjects aged 18-99 years diagnosed with heparin-induced thrombocytopenia. The cohort was divided into two groups (1) non-obese (body mass index < 30 kg/m2) and (2) obese (body mass index ⩾ 30 kg/m2). We evaluated patient characteristics, diagnostic, laboratory, medication, and procedure codes.

Results

A total of 1583 subjects (696 (44.0%) non-obese and 887 (56.0%) obese) were included. Obese subjects had higher odds of diabetes with complications (OR = 1.73, 95% CI = 1.35-2.22, p < 0.001) and without complications (OR = 1.81, 95% CI = 1.47-2.22, p < 0.001). This association was still present after correcting for demographic and clinical factors. There were no increased odds of thrombosis observed in the obesity group.

Conclusions

Our study found that obese heparin-induced thrombocytopenia subjects had higher odds of having a diabetes mellitus comorbidity, but did not have higher odds of thrombosis. Given obesity is considered a hypercoagulable state, further study may be needed to understand why obese subjects diagnosed with heparin-induced thrombocytopenia do not have higher rates of thrombosis.

Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study

Adults with obesity have a higher risk of hospitalization and high hospitalization-related healthcare costs. However, a predictive model for the risk of readmission in patients with severe obesity is lacking. We conducted a retrospective cohort study enrolling all patients admitted for severe obesity (BMI ≥ 40 kg/m2) between 2009 and 2018 to the Istituto Auxologico Italiano in Piancavallo. For each patient, all subsequent hospitalizations were identified from the regional database by a deterministic record-linkage procedure. A total of 1136 patients were enrolled and followed up for a median of 5.7 years (IQR: 3.1-8.2). The predictive factors associated with hospital readmission were age (HR = 1.02, 95%CI: 1.01-1.03, p < 0.001), BMI (HR = 1.02, 95%CI: 1.01-1.03, p = 0.001), smoking habit (HR = 1.17, 95%CI: 0.99-1.38, p = 0.060), serum creatinine (HR = 1.22, 95%CI: 1.04-1.44, p = 0.016), diabetes (HR = 1.17, 95%CI: 1.00-1.36, p = 0.045), and number of admissions in the previous two years (HR = 1.15, 95%CI: 1.07-1.23, p < 0.001). BMI lost its predictive role when restricting the analysis to readmissions within 90 days. BMI and diabetes lost their predictive roles when further restricting the analysis to readmissions within 30 days. In conclusion, in this study, we identified predictive variables associated with early and long-term hospital readmission in patients with severe obesity. Whether addressing modifiable risk factors could improve the outcome remains to be established.

Impact of obesity on the use of healthcare resources by young adults aged 18-45 years: Results of the 2017 National Health Survey

INTRODUCTION

Excess weight is a public health problem associated with a greater burden of chronic diseases and increased use of health resources.

MATERIAL AND METHODS

A subsample of Spanish adults aged 18-45 from the 2017 Spanish National Health Survey (N=7081) was used. The odds ratios of service utilisation of the group with BMI≥30kg/m² were compared to the normal-weight group, using a model adjusted for sex, age, education, socioeconomic level, perceived health status and the presence of comorbidities.

RESULTS

In all, 12.4% of the sample had obesity. Of these, 24.8% visited their general physician, 37.1% attended emergency services and 6.1% were hospitalised during the last 12 months, which were significantly higher rates than in the normal-weight population (20.3%, 29.2%, 3.8%, respectively). However, 16.1% visited a physiotherapist and 3.1% used alternative therapies, compared to 20.8% and 6.4% in the healthy weight group. After adjusting for confounding factors, people with obesity were more likely to visit emergency services (OR: 1.225 [1.037-1.446]) and less likely to visit a physiotherapist (OR: 0.720 [0.583-0.889]) or use alternative therapies (OR: 0.481 [0.316-0.732]).

CONCLUSIONS

Spanish young adults suffering from obesity are more likely to use some health resources than those of normal weight, even after adjusting for socioeconomic variables and comorbidities, but they are less likely to attend physical therapy. The literature shows that these differences are less marked than in older ages, so this stage of life could be a window of opportunity for prevention to achieve better resource management.

A Systematic Review of the Influence of Overweight and Obesity across the Lifespan on Obstacle Crossing during Walking

This study aimed to systematically review and summarize the available data regarding the influence of overweight and obesity across the lifespan on obstacle crossing during walking. Four databases were systematically searched with no limitation on publication date following the Cochrane Handbook for Systematic Reviews and PRISMA guidelines. Only full-text English-language articles published in a peer-reviewed journal were eligible. They had to compare obstacle crossing during walking by overweight or obese individuals with individuals of normal body weight. Five studies were considered eligible. All the studies assessed kinematics; only one assessed kinetics, but none investigated muscle activity or obstacle contact. Compared to normal individuals crossing obstacles, overweight or obese individuals exhibited lower velocity, shorter step length, lower cadence, and less time spent in single-limb support. They also exhibited increased step width, more time spent in double support, and greater trailing leg ground force reaction and centre of mass acceleration. Overall, the small number of included studies did not allow us to draw any conclusions. However, being overweight or obese seems to have a potentially negative influence on the kinematics of gait parameters due to a tendency to trip, fall, and suffer severe fall-related injuries when negotiating obstacles on foot in real-life environments.

The impact of general and central obesity for all-cause hospitalization among Iranian adults: a 20 year follow-up-results from the TLGS cohort

BACKGROUND

Few studies have examined the effect of obesity indices on total number of hospitalizations. We examined the associations between body mass index (BMI) and waist circumference (WC) and rate of all-cause hospitalizations among Iranian adult participated in the Tehran Lipid and Glucose Study cohort.

METHODS

This study included 8202 individuals (3727 men) aged ≥ 30 years, who were followed for a median of 18 years. Participants were categorized into three groups according to their baseline BMI: normal weight, overweight and obese. In addition, they were classified according to WC in two categories: normal WC and high WC. Negative Binomial regression model was used to estimate the incidence rate ratios (IRRs) and 95% confidence interval (95% CI) of all-cause hospitalizations in relation to obesity indices.

RESULTS

The overall crude rate of all-cause hospitalizations were 77.6 (95% CI, 73.9-81.2) and 76.9 (73.4-80.3) per 1000 person-year in men and women, respectively. The covariate adjusted rate of all-cause hospitalizations was 27% higher in obese men than normal weight men (IRR (95% CI): 1.27 (1.11-1.42)). Among women, overweight and obese individuals had 17% (1.17 (1.03-1.31)) and 40% (1.40 (1.23-1.56)) higher rate of hospitalization compared to normal weight women. Having high WC was associated with 18% (1.18 (1.08-1.29)) and 30% (1.30 (1.18-1.41)) higher rate of all-cause hospitalization in men and women, respectively.

CONCLUSIONS

Obesity and high WC were associated with increased hospitalization rates during long-term follow-up. Our findings suggests that successful obesity prevention programs may decrease the number of hospitalizations, particularly, in women.

An exploration of the challenges of providing person-centred care for older care home residents with obesity

The aim of this study was to explore care home staff's views on the prevalence of obesity in older people and how well prepared they were for any rise in applications for placements. Thematic analysis was used to analyse focus group interview data collected from seven care homes/33 participants in N.E. England. Findings revealed rises in demand by older people with obesity for care home admittance, consistent with rising prevalence of obesity in this demographic nationally. Findings also highlight implications of rising prevalence of obesity in older people, particularly care home staff's ability to deliver person-centred care (PCC) and the importance of appropriate support/recognition of this as an emergent issue to be addressed at a higher executive level and by health/social care authorities. Ways of ensuring PCC are discussed. Given continuing trends towards rising prevalence of obesity in this population, the findings possess broader translational potential.

Mendelian randomization analysis of the causal impact of body mass index and waist-hip ratio on rates of hospital admission

We analyze how measures of adiposity - body mass index (BMI) and waist hip ratio (WHR) - causally influence rates of hospital admission. Conventional analyses of this relationship are susceptible to omitted variable bias from variables that jointly influence both hospital admission and adipose status. We implement a novel quasi-Poisson instrumental variable model in a Mendelian randomization framework, identifying causal effects from random perturbations to germline genetic variation. We estimate the individual and joint effects of BMI, WHR, and WHR adjusted for BMI. We also implement multivariable instrumental variable methods in which the causal effect of one exposure is estimated conditionally on the causal effect of another exposure. Data on 310,471 participants and over 550,000 inpatient admissions in the UK Biobank were used to perform one-sample and two-sample Mendelian randomization analyses. The results supported a causal role of adiposity on hospital admissions, with consistency across all estimates and sensitivity analyses. Point estimates were generally larger than estimates from comparable observational specifications. We observed an attenuation of the BMI effect when adjusting for WHR in the multivariable Mendelian randomization analyses, suggesting that an adverse fat distribution, rather than a higher BMI itself, may drive the relationship between adiposity and risk of hospital admission.

Beyond weight: examining the association of obesity with cardiometabolic related inpatient costs among Canadian adults using linked population based survey and hospital administrative data

BACKGROUND

The global population has transitioned to one where more adults are living with obesity than are underweight. Obesity is associated with the development of cardiometabolic diseases and widely attributed to increased hospital resource use; however, empirical evidence is limited regarding obesity prevention to support hospital cost containment. This study aims to test for obesity in predicting hospitalization costs for cardiometabolic conditions among the Canadian population aged 45 and over.

METHODS

Data from the 2007-2011 Canadian Community Health Survey were linked to eight years of hospital discharge records. A cohort was identified of inpatients admitted for diabetes, hypertension, and other cardiometabolic diseases. Multiple linear regressions were used to investigate the association between obesity status and inpatient costs, controlling for sociodemographic and behavioural factors.

RESULTS

The target cohort included 23,295 admissions for cardiometabolic diseases. Although inflation-adjusted inpatient costs generally increased over time, compared with the non-obese group, living with obesity was not a significant predictor of differences in cardiometabolic-related resource use (0.972 [95% CI: 0.926-1.021]). Being female and rural residence were found to be protective factors.

CONCLUSIONS

Obesity was not found in this study to be independently linked to higher cardiometabolic hospitalization costs, suggesting that actions to mitigate disease progression in the population may be more beneficial than simply promoting weight loss. Results amplified the need to consider gender and urbanization when formulating which levers are most amenable to adoption of healthy lifestyles to reduce impacts of obesogenic environments to the healthcare system.

Mortality association between obesity and pneumonia using a dual restricted cohort model

BACKGROUND

An obesity survival paradox has been reported among obese patients with pneumonia.

AIMS

To determine the impact of obesity on pneumonia outcomes and analyze the correlation between in-hospital all-cause mortality and obesity among patients with pneumonia.

METHODS

The United States Nationwide Readmissions Database (NRD) was retrospectively analyzed for patients with pneumonia from 2013 to 2014. We used a step-wise restricted and propensity score matching cohort model (dual model) to compare mortality rates and other outcomes among pneumonia patients based on BMI. Mortality was calculated by a Cox proportional hazard model, adjusted for potential confounders with propensity score matched analysis.

RESULTS

A total of 70,886,775 patients were registered in NRD during the study period. Of these, 7,786,913 patients (11.0%) were considered obese and 1,652,456 patients (2.3%) were admitted to the hospital with pneumonia. Based on the step-wise restricted cohort model, the hazard ratio comparing the mortality rates among obese pneumonia patients to mortality rates among normal BMI pneumonia patients was 0.75 (95% CI 0.60-0.94). The propensity score matched analysis estimated a hazard rate of 0.84 (95% CI 0.79-0.90) and the hazard ratio estimated from the dual model was 0.82 (95% CI 0.63-1.07).

CONCLUSIONS

With the application of a dual model, there appears to be no significant difference in mortality of obese patients with pneumonia compared to normal BMI patients with pneumonia.

Hospitalization and Mortality among Black Patients and White Patients with Covid-19

BACKGROUND

Many reports on coronavirus disease 2019 (Covid-19) have highlighted age- and sex-related differences in health outcomes. More information is needed about racial and ethnic differences in outcomes from Covid-19.

METHODS

In this retrospective cohort study, we analyzed data from patients seen within an integrated-delivery health system (Ochsner Health) in Louisiana between March 1 and April 11, 2020, who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, the virus that causes Covid-19) on qualitative polymerase-chain-reaction assay. The Ochsner Health population is 31% black non-Hispanic and 65% white non-Hispanic. The primary outcomes were hospitalization and in-hospital death.

RESULTS

A total of 3626 patients tested positive, of whom 145 were excluded (84 had missing data on race or ethnic group, 9 were Hispanic, and 52 were Asian or of another race or ethnic group). Of the 3481 Covid-19-positive patients included in our analyses, 60.0% were female, 70.4% were black non-Hispanic, and 29.6% were white non-Hispanic. Black patients had higher prevalences of obesity, diabetes, hypertension, and chronic kidney disease than white patients. A total of 39.7% of Covid-19-positive patients (1382 patients) were hospitalized, 76.9% of whom were black. In multivariable analyses, black race, increasing age, a higher score on the Charlson Comorbidity Index (indicating a greater burden of illness), public insurance (Medicare or Medicaid), residence in a low-income area, and obesity were associated with increased odds of hospital admission. Among the 326 patients who died from Covid-19, 70.6% were black. In adjusted time-to-event analyses, variables that were associated with higher in-hospital mortality were increasing age and presentation with an elevated respiratory rate; elevated levels of venous lactate, creatinine, or procalcitonin; or low platelet or lymphocyte counts. However, black race was not independently associated with higher mortality (hazard ratio for death vs. white race, 0.89; 95% confidence interval, 0.68 to 1.17).

CONCLUSIONS

In a large cohort in Louisiana, 76.9% of the patients who were hospitalized with Covid-19 and 70.6% of those who died were black, whereas blacks comprise only 31% of the Ochsner Health population. Black race was not associated with higher in-hospital mortality than white race, after adjustment for differences in sociodemographic and clinical characteristics on admission.

Mortality association between obesity and pneumonia using a dual restricted cohort model

BACKGROUND

An obesity survival paradox has been reported among obese patients with pneumonia.

AIMS

To determine the impact of obesity on pneumonia outcomes and analyze the correlation between in-hospital all-cause mortality and obesity among patients with pneumonia.

METHODS

The United States Nationwide Readmissions Database (NRD) was retrospectively analyzed for patients with pneumonia from 2013 to 2014. We used a step-wise restricted and propensity score matching cohort model (dual model) to compare mortality rates and other outcomes among pneumonia patients based on BMI. Mortality was calculated by a Cox proportional hazard model, adjusted for potential confounders with propensity score matched analysis.

RESULTS

A total of 70,886,775 patients were registered in NRD during the study period. Of these, 7,786,913 patients (11.0%) were considered obese and 1,652,456 patients (2.3%) were admitted to the hospital with pneumonia. Based on the step-wise restricted cohort model, the hazard ratio comparing the mortality rates among obese pneumonia patients to mortality rates among normal BMI pneumonia patients was 0.75 (95% CI 0.60-0.94). The propensity score matched analysis estimated a hazard rate of 0.84 (95% CI 0.79-0.90) and the hazard ratio estimated from the dual model was 0.82 (95% CI 0.63-1.07).

CONCLUSIONS

With the application of a dual model, there appears to be no significant difference in mortality of obese patients with pneumonia compared to normal BMI patients with pneumonia.

The Impact of Severe Obesity on Healthcare Resource Utilisation in Spain

BACKGROUND

Obesity is not only a health problem but also a source of increased monetary expenditures. The objectives of this study were to analyse the use of healthcare resources in the Spanish adult population with class II obesity and above (BMI ≥35 kg/m²) and to compare it with other BMI groups.

METHOD

We used the Spanish National Health Survey, a longitudinal population-based survey (n = 18,682), to analyse healthcare resource utilisation by BMI groups. Adjusted and unadjusted logistic regression models were used to calculate odds ratios (OR) for healthcare use among class II and over obese subjects versus normal BMI.

RESULTS

Persons with BMI ≥35 are more likely to attend general practitioner (GP)'s consultations (17%), to visit the emergency department (26%), to consume medications (36%), to be hospitalised (49%), to require nursing consultations (61%) and to require psychology consultations (83%). The proportion of obese people receiving home visits is 2.6 times higher than among normal BMI. After controlling for sex and age groups, people with severe obesity (BMI ≥35 kg/m²) were more prone to requiring home care visits (OR 2.3; CI [1.3; 4.2]), GP visits (OR 2.1; CI [1.5; 3.0]), psychologist visits (OR 1.96; CI [1.3; 2.99]), emergency service visits (OR 1.5; CI [1.2; 1.8]), nurse visits (OR 1.46; CI [1.2; 1.9]) and hospitalisations (OR 1.43; CI [1.1; 1.9]) and after also adjusting for relevant comorbidities like hypertension, diabetes and cardiovascular diseases: GP visits (OR 1.85; CI [1.3; 2.7]), psychologist visits (OR 1.8; CI [1.2; 2.7]), specialised care visits (OR 0.92; CI [0.7; 1.2]) and physiotherapist visits (OR 0.7; CI [0.5; 1.0]).

CONCLUSIONS

Severe obesity significantly increases healthcare resource utilisation in Spain. The results shed light on the real magnitude of the burden of obesity in Spain.

Undernutrition, risk of malnutrition and obesity in gastroenterological patients: A multicenter study

AIM: To investigate the prevalence of undernutrition, risk of malnutrition and obesity in the Italian gastroenterological population.

METHODS: The Italian Hospital Gastroenterology Association conducted an observational, cross-sectional multicenter study. Weight, weight loss, and body mass index were evaluated. Undernutrition was defined as unintentional weight loss > 10% in the last three-six months. Values of Malnutrition Universal Screening Tool (MUST) > 2, NRS-2002 > 3, and Mini Nutritional Assessment (MNA) from 17 to 25 identified risk of malnutrition in outpatients, inpatients and elderly patients, respectively. A body mass index ≥ 30 indicated obesity. Gastrointestinal pathologies were categorized into acute, chronic and neoplastic diseases.

RESULTS: A total of 513 patients participated in the study. The prevalence of undernutrition was 4.6% in outpatients and 19.6% in inpatients. Moreover, undernutrition was present in 4.3% of the gastrointestinal patients with chronic disease, 11.0% of those with acute disease, and 17.6% of those with cancer. The risk of malnutrition increased progressively and significantly in chronic, acute and neoplastic gastrointestinal diseases in inpatients and the elderly population. Logistical regression analysis confirmed that cancer was a risk factor for undernutrition (OR = 2.7; 95%CI: 1.2-6.44, P = 0.02). Obesity and overweight were more frequent in outpatients.

CONCLUSION: More than 63% of outpatients and 80% of inpatients in gastroenterological centers suffered from significant changes in body composition and required specific nutritional competence and treatment.

Hospitalists' utilization of weight loss resources with discharge texts and primary care contact: a feasibility study

OBJECTIVES

Obesity affects a large proportion of the U.S. population, and hospitalizations may serve as an opportunity to promote weight loss. We sought to determine if multidisciplinary patient-centered inpatient weight loss intervention that included counseling, consults, post-discharge telephone text messages, and primary care follow up was feasible.

METHODS

We conducted a feasibility study focusing on 25 obese hospitalized patients to understand the issues related to rolling out an intensive intervention. Actual weight loss was a secondary outcome and we compared these 25 patients to 28 control patients who were exposed to usual care; weight change was assessed at 1 and 6 months.

RESULTS

Ninety-six percent (24/25) of nutritional consults and 92% (23/25) of physical therapy consults were submitted by hospital providers. All of these doctors were also reminded to counsel their patients about the detrimental health consequences. Fifty-two percent (13/25) and 40% (10/25) were actually seen and counseled by nutrition and physical therapy services respectively, before being discharged. Sixty-eight percent (17/25) received a motivational interviewing counseling session from the principal investigator. All patients were sent text messages and followed with their primary care provider after discharge who received the personalized weight loss discharge instructions that had been given to the patient. The feasibility group lost a mean of 3.0 kg at 6 months and the control group gained an average of 0.20 kg at 6 months post discharge (p = 0.03).

CONCLUSION

Executing a multifaceted weight loss intervention for hospitalized obese patients is feasible, and there may be associated persistent improvements in weight status over time.

Association between obesity and prescribed medication use in England

We investigate the association between obesity and use of prescribed medications in England. Data were taken from fourteen rounds of the Health Survey for England (1999-2012), which has measures of current prescribed medication use based on therapeutic classifications in the British National Formulary, and nurse-measured height and weight. We find that obesity has a statistically significant and positive association with use of a range of medicines for managing diseases associated with obesity. The mean probability of using any type of medication is 0.40 in those of normal weight, 0.44 in the overweight, 0.52 in obesity class I and 0.60 in obesity class II/III. Significant positive associations were found between obesity and the use of medication for diseases of the cardiovascular system, gastrointestinal system, respiratory system, and central nervous system, as well as for infections, endocrine system disorders, gynaecological/urinary disorders and musculoskeletal and joint disorders. Use of anti-obesity medication is low, even among those with class II/III obesity.

Body mass index and incident hospitalisation for cardiovascular disease in 158 546 participants from the 45 and Up Study

Objective:

To investigate the relationship between fine gradations in body mass index (BMI) and risk of hospitalisation for different types of cardiovascular disease (CVD).

Design, Subjects and Methods:

The 45 and Up Study is a large-scale Australian cohort study initiated in 2006. Self-reported data from 158 546 individuals with no history of CVD were linked prospectively to hospitalisation and mortality data. Hazard ratios (HRs) of incident hospitalisation for specific CVD diagnoses in relation to baseline BMI categories were estimated using Cox regression, adjusting for age, sex, region of residence, income, education, smoking, alcohol intake and health insurance status.

Results:

There were 9594 incident CVD admissions over 583 100 person-years among people with BMI⩾20 kg m⁻², including 3096 for ischaemic heart disease (IHD), 1373 for stroke, 411 for peripheral vascular disease (PVD) and 320 for heart failure. The adjusted HR of hospitalisation for all CVD diagnoses combined increased significantly with increasing BMI (P(trend) <0.0001)). The HR of IHD hospitalisation increased by 23% (95% confidence interval (95% CI): 18–27%) per 5 kg m⁻² increase in BMI (compared to BMI 20.0–22.49 kg m⁻², HR (95% CI) for BMI categories were: 22.5–24.99=1.25 (1.08–1.44); 25–27.49=1.43 (1.24–1.65); 27.5–29.99=1.64 (1.42–1.90); 30–32.49=1.63 (1.39–1.91) and 32.5–50=2.10 (1.79–2.45)). The risk of hospitalisation for heart failure showed a significant, but nonlinear, increase with increasing BMI. No significant increase was seen with above-normal BMI for stroke or PVD. For other specific classifications of CVD, HRs of hospitalisation increased significantly with increasing BMI for: hypertension; angina; acute myocardial infarction; chronic IHD; pulmonary embolism; non-rheumatic aortic valve disorders; atrioventricular and left bundle-branch block; atrial fibrillation and flutter; aortic aneurysm; and phlebitis and thrombophlebitis.

Conclusion:

The risk of hospitalisation for a wide range of CVD subtypes increases with relatively fine increments in BMI. Obesity prevention strategies are likely to benefit from focusing on bringing down the mean BMI at the population level, in addition to targeting those with a high BMI.

Hospitalization rates and cost in severe or complicated obesity: an Italian cohort study

Background

The economic and social costs of obesity are estimated to be considerable, particularly for inpatient care. The aim of this study was to compare the hospitalization rates of individuals with severe (body mass index [BMI] ≥40 kg/m²) or complicated (BMI ≥30 kg/m²) obesity with those of the general population in two regions of Northwest Italy, and to describe absolute costs of hospitalization and their determinants.

Methods

Between 1996 and 2002, 6,516 patients who were admitted for the first time to a hospital offering a nutritional rehabilitation programme for obesity were enrolled and followed-up (mean follow-up time: 7.3 years). Standardized hospitalization rates (SHRs) were computed by sex for all-cause and cause-specific hospitalization. The general population of the two regions was used as the reference population. The annual cost of hospitalization was estimated for the study cohort only at the individual level, and its association with different determinants was assessed using a multivariable linear model for longitudinal data.

Results

SHRs of the study cohort versus the general population increased for all-cause hospitalization (males: 3.53, 95% CI 3.45-3.61; females: 3.22, 95% CI 3.18-3.26) as well as for most obesity-related conditions. The absolute median annual cost of hospitalization was 2,436 euros for males and 2,293 euros for females. Older age at cohort enrolment, BMI ≥40 kg/m², waist circumference above the median (males: 1.26 metres; females: 1.13 metres), and the presence of co-morbidities, such as cardiovascular diseases, respiratory diseases, cancer, diseases of the musculoskeletal system and connective tissue, and mental disorders, significantly increased the absolute median annual costs of hospitalization.

Conclusions

The economic consequences of high hospitalization rates in obese individuals are relevant. Reducing the occurrence of co-morbidities among obese persons may be one important goal, not only for clinical reasons, but also from a public health point of view.

Toxicogenomic analysis suggests chemical-induced sexual dimorphism in the expression of metabolic genes in zebrafish liver

Differential gene expression in two sexes is widespread throughout the animal kingdom, giving rise to sex-dimorphic gene activities and sex-dependent adaptability to environmental cues, diets, growth and development as well as susceptibility to diseases. Here, we present a study using a toxicogenomic approach to investigate metabolic genes that show sex-dimorphic expression in the zebrafish liver triggered by several chemicals. Our analysis revealed that, besides the known genes for xenobiotic metabolism, many functionally diverse metabolic genes, such as ELOVL fatty acid elongase, DNA-directed RNA polymerase, and hydroxysteroid dehydrogenase, were also sex-dimorphic in their response to chemical treatments. Moreover, sex-dimorphic responses were also observed at the pathway level. Pathways belonging to xenobiotic metabolism, lipid metabolism, and nucleotide metabolism were enriched with sex-dimorphically expressed genes. We also observed temporal differences of the sex-dimorphic responses, suggesting that both genes and pathways are differently correlated during different periods of chemical perturbation. The ubiquity of sex-dimorphic activities at different biological hierarchies indicate the importance and the need of considering the sex factor in many areas of biological researches, especially in toxicology and pathology.

A patient-centred approach to estimate total annual healthcare cost by body mass index in the UK Counterweight programme

BACKGROUND

Previous studies, based on relative risks for certain secondary diseases, have shown greater healthcare costs in higher body mass index (BMI) categories. The present study quantifies the relationship between BMI and total healthcare expenditure, with the patient as the unit of analysis.

METHODS

Analyses of cross-sectional data, collected over 18-months in 2002-2003, from 3324 randomly selected patients, in 65 general practices across UK. Healthcare costs estimated from primary care, outpatient, accident/emergency and hospitalisation attendances, weighted by unit costs taken from standard sources.

RESULTS

In univariate analyses, significant associations (P<0.05) were found between total healthcare expenditure and all dependent variables (women>men, drinker<non-drinkers, smokers>non-smokers, and increasing with greater physical activity, age and BMI. In multivariate analysis, age, sex, BMI, smoking and alcohol consumption remained significantly associated with healthcare cost, and together explained just 9% of the variance in healthcare expenditure. Adjusted total annual healthcare cost was £16 (95% CI £11-£21) higher per unit BMI. All cost categories were significantly (P<0.003) higher for those with BMI >40 compared with BMI <20 kg m(-2): prescription drugs (men: £390 versus £16; women: £211 versus £73), hospitalisation (men: £72 versus £0; women: £243 versus £107), primary care (men: £191 versus £69; women: £268 versus £153) and outpatient care (£234 versus £107 women only).

CONCLUSIONS

Annual healthcare expenditure rose a mean of £16 per unit greater BMI, doubling between BMI 20-40 kg m(-2). This gradient may be an underestimate if the lower-BMI patients with heights and weights recorded had other costly diseases.

Morbid obesity as a risk factor for hospitalization and death due to 2009 pandemic influenza A(H1N1) disease

BACKGROUND

Severe illness due to 2009 pandemic A(H1N1) infection has been reported among persons who are obese or morbidly obese. We assessed whether obesity is a risk factor for hospitalization and death due to 2009 pandemic influenza A(H1N1), independent of chronic medical conditions considered by the Advisory Committee on Immunization Practices (ACIP) to increase the risk of influenza-related complications.

METHODOLOGY/PRINCIPAL FINDINGS

We used a case-cohort design to compare cases of hospitalizations and deaths from 2009 pandemic A(H1N1) influenza occurring between April-July, 2009, with a cohort of the U.S. population estimated from the 2003-2006 National Health and Nutrition Examination Survey (NHANES); pregnant women and children <2 years old were excluded. For hospitalizations, we defined categories of relative weight by body mass index (BMI, kg/m(2)); for deaths, obesity or morbid obesity was recorded on medical charts, and death certificates. Odds ratio (OR) of being in each BMI category was determined; normal weight was the reference category. Overall, 361 hospitalizations and 233 deaths included information to determine BMI category and presence of ACIP-recognized medical conditions. Among >or=20 year olds, hospitalization was associated with being morbidly obese (BMI>or=40) for individuals with ACIP-recognized chronic conditions (OR = 4.9, 95% CI 2.4-9.9) and without ACIP-recognized chronic conditions (OR = 4.7, 95%CI 1.3-17.2). Among 2-19 year olds, hospitalization was associated with being underweight (BMIor=20 years without ACIP-recognized chronic medical conditions death was associated with obesity (OR = 3.1, 95%CI: 1.5-6.6) and morbid obesity (OR = 7.6, 95%CI 2.1-27.9).

CONCLUSIONS/SIGNIFICANCE

Our findings support observations that morbid obesity may be associated with hospitalization and possibly death due to 2009 pandemic H1N1 infection. These complications could be prevented by early antiviral therapy and vaccination.

Vancomycin treatment of infective endocarditis is linked with recently acquired obesity

Background

Gut microbiota play a major role in digestion and energy conversion of nutrients. Antibiotics, such as avoparcin (a vancomycin analogue), and probiotics, such as Lactobacillus species, have been used to increase weight in farm animals. We tested the effect of antibiotics given for infective endocarditis (IE) on weight gain (WG).

Methodology/Principal Findings

Forty-eight adults with a definite diagnosis of bacterial IE (antibiotic group) were compared with forty-eight age-matched controls without IE. Their body mass index (BMI) was collected at one month before the first symptoms and one year after hospital discharge. The BMI increased significantly and strongly in vancomycin-plus-gentamycin–treated patients (mean [±SE] kg/m², +2.3 [0.9], p = 0.03), but not in controls or in patients treated with other antibiotics. Seventeen patients had a BMI increase of ≥10%, and five of the antibiotic group developed obesity. The treatment by vancomycin-plus-gentamycin was an independent predictor of BMI increase of ≥10% (adjusted OR, 6.7; 95% CI, 1.37–33.0; p = 0.02), but not treatment with other antibiotics. Weight gain was particularly high in male patients older than 65 who did not undergo cardiac surgery. Indeed, all three vancomycin-treated patients with these characteristics developed obesity.

Conclusions/Significance

A major and significant weight gain can occur after a six-week intravenous treatment by vancomycin plus gentamycin for IE with a risk of obesity, especially in males older than 65 who have not undergone surgery. We speculate on the role of the gut colonization by Lactobacillus sp, a microorganism intrinsically resistant to vancomycin, used as a growth promoter in animals, and found at a high concentration in the feces of obese patients. Thus, nutritional programs and weight follow-up should be utilized in patients under such treatment.