Clinical outcomes for the obese hospital inpatient: An observational study

Hospital-acquired pressure injury prevention in people with a BMI of 30.0 or higher: A scoping review

AIM(S)

To: (1) explore current best practices for hospital-acquired pressure injury prevention in high BMI patients; (2) summarize nurses' experiences in preventing and managing them; (3) explore the association between a high BMI and occurrence and severity of pressure injury.

DESIGN

Exploratory.

METHODS

Scoping review.

DATA SOURCES

Ovid MEDLINE, EBSCO CINAHL Plus, JBI Evidence Synthesis, Scopus, Embase, clinical registries and grey literature (search dates: January 2009 to May 2021).

RESULTS

Overall, 1479 studies were screened. The included studies were published between 2010 and 2022. Five interventional studies and 32 best practice recommendations (Objective 1) reported low-quality evidence. Findings of thematic analysis reported in nine studies (Objective 2) identified nurses' issues as insufficient bariatric equipment, inadequate staffing, weight bias, fatigue, obese-related terminology issues, ethical dilemmas and insufficient staff education in high BMI patients' pressure injury prevention. No association between hospital-acquired pressure injury occurrence and high BMI were reported by 18 out of 28 included studies (Objective 3).

CONCLUSION

Quality of evidence was low for the interventional studies and best practice recommendations.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Current (2019) International Pressure Injury Guideline to be used despite the low quality of evidence of most best practice recommendations.

IMPACT STATEMENT

This study addressed hospital-acquired pressure injury prevention in high BMI patients. Greater proportion of studies in this review found no association between high BMI and occurrence of hospital-acquired pressure injury. Nurses need educational interventions on pressure injury prevention in high body mass index people, sufficient staffing for repositioning and improved availability of bariatric equipment.

REPORTING METHOD

We adhered to relevant EQUATOR guidelines, PRISMA extension for scoping reviews.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY?: Larger clinical trials are needed on repositioning frequency, support surfaces, prophylactic dressings and risk assessment tools to inform clinical practice guidelines on pressure injury prevention in high BMI people.

PROTOCOL REGISTRATION

Wound Practice and Research (https://doi.org/10.33235/wpr.29.3.133-139).

Healthcare Professionals' Perspectives of Nonsurgical Care of Older Inpatients with Class II or III Obesity and Comorbidities: A Qualitative Study

Background

Older people with Class II or III obesity and comorbidities experience complex care needs with frequent hospital admissions. In 2019/20 the National Health Service in England reported a 17% increase in hospital admissions of patients with obesity compared to 2018/19. Gaps in care for this population have been identified.

Purpose

The purpose of this study was to understand the experiences and perspectives of healthcare professionals delivering non-surgical care to older people with Classes II or III obesity admitted to a tertiary care hospital.

Methods

Healthcare professionals delivering non-surgical care to older people admitted with Class II or III obesity with comorbidities were recruited from an Australian tertiary referral hospital. Qualitative semi-structured interviews were conducted with 24 healthcare professionals from seven disciplines between August and December 2019. The interviews were audio-recorded, transcribed, and reviewed by participants for accuracy. Thematic inductive data analysis was deductively mapped to the Theoretical Domains Framework (TDF).

Results

Four major themes of Barriers, Facilitators, Current Practice, and Recommendations and 11 subthemes were identified and mapped to nine domains in the TDF. The Barriers subtheme identified perceived patient related factors, health system issues, and provider issues, while the Facilitators subtheme included a patient centred approach, knowledge, and resources in the subacute setting. The major Current Practice theme explored factors influencing clinical management, and the Recommendations subthemes included engaging patients, access to quality care, education and support, and obesity as a chronic disease.

Conclusion

This novel application of the TDF provided broad insights related to the barriers and facilitators in delivering non-surgical care to this hospital population, from the perspective of healthcare professionals. Understanding how these barriers interact can provide strategies to influence behaviour change and assist in the development of a holistic multidisciplinary model of care.

Healthcare Service Interventions to Improve the Healthcare Outcomes of Hospitalised Patients with Extreme Obesity: Protocol for an Evidence and Gap Map

Hospitalised patients with extreme obesity have poorer healthcare outcomes compared to normal weight patients. How hospital services are coordinated and delivered to meet the care needs of patients with extreme obesity is not well understood. The aim of the proposed evidence gap map (EGM) is to identify and assess the available evidence on healthcare interventions to improve healthcare outcomes for hospitalised patients with extreme obesity. This research will use standardised evidence gap map methods to undertake a five-stage process to develop an intervention–outcome framework; identify the current evidence; critically appraise the quality of the evidence, extract, code, and summarise the data in relation to the EGM objectives; and create a visualisation map to present findings. This EGM will provide a means of determining the nature and quality of health service initiatives available, identify the components of the services delivered and the outcome measures used for evaluation, and will identify areas where there is a lack of research that validates the funding of new research studies.

Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study

Objectives

Hospitalized patients with severe obesity require adapted hospital management. The aim of this study was to evaluate a machine learning model to predict in‐hospital mortality among this population.

Methods

Data of unselected consecutive emergency department admissions of hospitalized patients with severe obesity (BMI ≥ 40 kg/m²) was analyzed. Data was retrieved from five hospitals from the Mount Sinai health system, New York. The study time frame was between January 2011 and December 2019. Data was used to train a gradient‐boosting machine learning model to identify in‐hospital mortality. The model was trained and evaluated based on the data from four hospitals and externally validated on held‐out data from the fifth hospital.

Results

A total of 14,078 hospital admissions of inpatients with severe obesity were included. The in‐hospital mortality rate was 297/14,078 (2.1%). In univariate analysis, albumin (area under the curve [AUC] = 0.77), blood urea nitrogen (AUC = 0.76), acuity level (AUC = 0.73), lactate (AUC = 0.72), and chief complaint (AUC = 0.72) were the best single predictors. For Youden’s index, the model had a sensitivity of 0.77 (95% CI: 0.67–0.86) with a false positive rate of 1:9.

Conclusion

A machine learning model trained on clinical measures provides proof of concept performance in predicting mortality in patients with severe obesity. This implies that such models may help to adopt specific decision support tools for this population.

A retrospective case-control cohort analysis of comorbidity and health expenditure in hospitalized adults diagnosed with obesity utilizing ICD-10 diagnostic coding

The cost and comorbidity of obesity in hospitalized inpatients, is less known. A retrospective study of patients presenting to a large district hospital in Western Sydney (April 2016-February 2017) using clinical, pathological as well as diagnostic coding data for obesity as per ICD-10. Of 43 212 consecutive hospital presentations, 390 had an obesity-coded diagnosis (Ob, 0.90%), of which 244 were gender and age-matched to a non-obesity coded cohort (NOb). Weight and BMI were higher in the Ob vs NOb group (126 ± 37 vs 82 ± 25 kg; BMI 46 ± 12 vs 29 ± 8 kg/m² , P < .001) with a medical record documentation rate of 62% for obesity among Ob. The Ob cohort had 2-5× higher rates of cardiopulmonary and metabolic complications (P < .001), greater pharmacologic burden, length of stay (LOS, 225 vs 89 hours, P < .001) and stay in intensive care but no differences in the prevalence of mental disorders. Compared with BMI <35 kg/m² , inpatients with BMI >35 kg/m² were 5× more likely to require intensive care (OR 5.08 [1.43-27.3, 95% CI], P = .0047). The initiation of obesity-specific interventions by clinical teams was very low. People with obesity who are admitted to hospital carry significant cost and complications, yet obesity is seldom recognized as a clinical entity or contributor.

Neurological Considerations for the Care of Patients With Severe Obesity

Patients with severe obesity tend to have higher rates of morbidities which can complicate and even lengthen their hospital admission course. Hospitals which do not have the resources to efficiently manage bariatric patients due to equipment weight-restrictions should be proactive in their care and knowledgeable about their options to avoid long delays in treatment. Amid this obesity epidemic, the neurologist plays a role in the inpatient management of patients with severe obesity and could serve as a channel to improve the quality of care and reduce the length of stay. We present a case of a patient with severe obesity who presented with visual loss secondary to idiopathic intracranial hypertension. The patient’s treatment was delayed several weeks from the time of admission until his weight decreased enough to safely undergo CT imaging in the operating room, developing complications throughout the course of his stay. This paper highlights the identified barriers of care and potential solutions to ensure improvement in the quality of care of patients with severe obesity, in order to reduce preventable complications.

Impact of body mass index on free DIEP flap breast reconstruction: A multicenter cohort study

INTRODUCTION

Several patient-related factors have been identified with regard to the safety and efficacy of breast reconstructions. This study analyzed the largest series of microsurgical breast reconstructions in Germany using deep inferior epigastric perforator (DIEP) flaps, with a focus on the impact of patient body mass index (BMI).

PATIENTS AND METHODS

A total of 3911 female patients underwent 4561 free DIEP flap breast reconstructions across 22 different centers. The cases were divided into five groups using World Health Organization BMI criteria: underweight group (BMI <18.5 kg/m²), normal weight/ control group (BMI: 18.5-24.9 kg/m²), overweight group (BMI: 25-29.9 kg/m²), moderately obese group (BMI: 30-34.9 kg/m²), and severely obese group (BMI ≥ 35 kg/m²). Surgical complications were accounted for and the five BMI groups were then compared.

RESULTS

Overall, there was no significant difference regarding the rate of partial- and total flap loss between all BMI groups (p > 0.05). However, overweight and obese patients showed significantly higher rates of postoperative infections at the donor and recipient sites than the control group (donor site infections: overweight 0.6%; moderately obese 0.9%; severely obese 2.4% vs control 0.1%; all p<0.01; recipient site infections: overweight 0.5%; moderately obese 0.8%; severely obese 1.4% vs control 0.1%; all p < 0.05). The rate of medical complications also differed significantly between groups, with the highest rates in moderately and severely obese women (moderately obese: 8.4%; severely obese: 13.0% vs. control: 5.1%; p < 0.01).

CONCLUSION

Our findings suggest that successful free tissue transfer can be achieved even in an underweight and severely obese population with acceptable risk for complications.

Obesity and the Survival of Critically Ill Patients with Acute Kidney Injury: A Paradox within the Paradox?

The obesity epidemic is reflected by the rising number of obese patients requiring intensive care. Obesity is a recognized risk factor for the development of acute kidney injury (AKI) in critically ill patients. Both acute critical illness and AKI are associated with higher in-hospital mortality rates, and intensive care unit (ICU) patients suffering from AKI have an elevated risk of death. The relationships between obesity and mortality in critically ill paediatric and adult patients with or without AKI are less clear. Conflicting evidence exists regarding the potential impact of body mass index on the mortality of ICU patients with AKI. Some studies looking at the ICU outcomes of critically ill obese patients with AKI show reduced mortality and others show either no association or elevated mortality. Despite a high biologic plausibility of the proposed causal mechanisms, such as a greater haemodynamic stability and the protective cytokine, adipokine, and lipoprotein defence profiles associated with obesity, the inconsistency of the data suggests that the obesity paradox is a statistical fallacy and the result of chance, bias, and residual confounding variables in retrospective cohort analyses. Further prospective randomized trials are essential to elucidate the role of obesity and the mechanisms underlying a potential survival benefit of obesity in critically ill patients with AKI.

Clinical outcomes among morbidly obese patients hospitalized with diabetic foot complications

The aim of the study is to investigate effects of morbid obesity on patients hospitalized with diabetic foot ulcers and infections (DFU/Is). This retrospective cohort study of hospitalized adults investigated patients with a principal diagnosis of DFU/Is, and compared outcomes based on weight. The primary outcome was lower limb amputations. Secondary outcomes included in-hospital mortality, morbidity (sepsis and discharge disposition), resource utilization (length of stay [LOS] and total hospitalization charges). Multivariate analyses adjusted for confounders. A total of 31 730 admissions were included; 14% were morbidly obese. Patients with morbid obesity had overall lower rates of amputations (adjusted odds ratio [aOR]: 0.60; 95% confidence interval [CI]: 0.45-0.80). There was no difference in mortality rates between those who were morbidly obese and the non-morbidly obese patients (aOR: 3.89 [95% CI: 0.79-19.30]). Combined data from 2010 to 2014 have found higher odds of sepsis in morbidly obese patients compared with non-morbidly obese patients after adjusting for confounders (aOR: 1.49 [1.09-2.02], P = 0.01). Patients with morbid obesity were less likely to be discharged to home (aOR: 0.82 [95% CI: 0.70-0.95]), had longer LOS (adjusted mean difference [aMD]: 0.47 [95% CI: 0.13-0.81]) and higher hospital charges (aMD: $3205 [95% CI: $3373-$6037]). Despite having lower amputation rates compared to those who are not morbidly obese, patients with morbid obesity hospitalized for DFU/Is succumbed to sepsis more frequently and had less favourable utilization metrics. Specialized care pathways may be needed to enhance the value of care delivered to this high-risk population.

The Expanding Role of Clinical Documentation Improvement Programs in Research and Analytics

The future of clinical documentation improvement (CDI) will require expanding the reach of CDI programs into new areas of expertise because the traditional realms of CDI work are increasingly becoming automated. CDI-based research and analytics can serve as a means for demonstrating continued value to an institution. We present four studies as examples of these efforts. We explored the use of claims data to determine whether a clinical condition meets the criteria for a secondary diagnosis and to evaluate whether a clinical problem should be elevated to the status of a comorbid or complicating condition. We demonstrated a way in which CDI professionals can evaluate the impacts of changes in clinical definitions, and we explored how CDI can work with other institutional programs to decrease length of stay. We believe that these models may serve as a springboard within institutions and among the larger CDI community to make research and analytics a foundation of future CDI activities.

The Effect of Age upon the Interrelationship of BMI and Inpatient Health Outcomes

OBJECTIVES

There is growing evidence that the relationship between body mass index (BMI - defined as weight in kilograms divided by height in metres squared) and patient outcomes is age-dependent; specifically, a raised BMI may have a protective effect in older adults. This has been demonstrated clearly in the community setting; less clear is the effect of age on this relationship in the inpatient setting.

DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS

Retrospective analysis of 22,903 electronic records for patients discharged from two large public hospitals in South Australia between January 2015 and September 2018 inclusively. Records were retained if the patient's height and weight had been recorded during the admission, BMI was between 10-99 kg/m2 and it was the patient's first admission during that time. Patients were grouped by BMI (<18.5 kg/m2 ("underweight"), 18.5-24.9 kg/m2 ("normal weight"), 25-29.9 kg/m2 ("overweight"), >30 kg/m2 ("obese")) and age (18-59 years, 60-79 years, > 80 years); for each group we measured the relative stay index (RSI) (actual length of stay divided by predicted length of stay), death in hospital and composite adverse outcome after discharge (unplanned readmission within 30 days and/or death within 30 days).

RESULTS

Underweight patients across all age groups generally experienced significantly poorer outcomes compared to those not underweight. In those aged 18-59 years there were no significant differences in outcomes between the normal weight, overweight and obese groups. In those aged 60-79 years overweight patients had a significantly reduced risk of RSI > 2 compared to those of normal weight (p=0.014), and both overweight and obese patients had a significantly reduced risk of adverse outcome after discharge when compared to those of normal weight (p=0.028 and p=0.009 respectively). In those aged 80 years or older, both overweight and obese patients had a significantly reduced risk of adverse outcome after discharge when compared to those of normal weight (p=0.028 and p=0.013 respectively), and obese patients had a significantly reduced risk of inpatient mortality and RSI >2 when compared to those of normal weight (p=0.027 and p=0.037 respectively).

CONCLUSION

A BMI > 25 kg/m2 in older patients is associated with reduced risk of prolonged admission, inpatient mortality and adverse outcomes following discharge. This adds to growing evidence that age-specific BMI guidelines are required for adults because the healthiest BMI in the older hospital patient is seemingly not in the range 18.5-24.9 kg/m2.

Obesity and emergency care in the French CONSTANCES cohort

Context

Obese patients are raising specific questions in emergency care such as equipment issues or urgent procedures. Even though obesity prevalence and subsequent health expenditure are increasing worldwide, there is scarce literature about their specific resource utilization of Emergency Departments (ED). These few studies do not take into account both socio-economic situation and comorbidities which are well-known factors influencing healthcare use. Our objective was to assess the emergency care resource utilization of obese individuals (Body Mass Index (BMI) ≥ 30kg.m^-2) compared to normal-weight individuals taking into account comorbidities and social-economic situations.

Methods

The French CONSTANCES epidemiologic cohort is a randomly selected sample of French adults. Participants data are linked to the National Health Insurance Database collecting all medical acts. The rate of ED visits of obese (and each obesity class) and normal-weight participants were compared considering confounding factors (comorbidities, various socio-economic data). The primary endpoint was to have visited the ED between 2010 and 2013. Sex-separated analysis and multivariate logistic regression models were performed and adjusted odds-ratios [OR] (95% Confidence Intervals [CI]) were calculated.

Results

We included 21,035 normal-weight and 5,003 obese participants. Obese participants visited the ED more often than normal-weight participants (men: 30.5% vs. 26.7%; women: 30.3% vs. 24.4%, P<0.001). Obese participants presented more comorbidities and a lower socio-economic situation than normal-weight participants. After adjustment, obese participants had a higher risk of visiting ED (men: OR = 1.18; 95% CI: 1.04–1.33; and women: OR = 1.36; 95% CI: 1.22–1.52), with a higher risk for class III participants (BMI ≥ 40 kg.m^-2) (men: OR = 2.18; CI 95%: 1.32–3.63; and women: OR = 1.85; 95% CI: 1.38–2.49).

Conclusion

Obese individuals have a higher level of emergency care resource utilization than normal-weight individuals and it increases with severe obesity. Further studies are needed to better understand their healthcare pathways leading to EDs.