Estimation of body weight in hospitalized patients

Total body weight estimation by 3D camera systems: Potential high-tech solutions for emergency medicine applications? A scoping review

Background

Weight estimation is required in adult patients when weight-based medication must be administered during emergency care, as measuring weight is often not possible. Inaccurate estimations may lead to inaccurate drug dosing, which may cause patient harm. High-tech 3D camera systems driven by artificial intelligence might be the solution to this problem. The aim of this review was to describe and evaluate the published literature on 3D camera weight estimation methods.

Methods

A systematic literature search was performed for articles that studied the use of 3D camera systems for weight estimation in adults. Data on the study characteristics, the quality of the studies, the 3D camera methods evaluated, and the accuracy of the systems were extracted and evaluated.

Results

A total of 14 studies were included, published from 2012 to 2024. Most studies used Microsoft Kinect cameras, with various analytical approaches to weight estimation. The 3D camera systems often achieved a P10 of 90% (90% of estimates within 10% of actual weight), with all systems exceeding a P10 of 78%. The studies highlighted a significant potential for 3D camera systems to be suitable for use in emergency care.

Conclusion

The 3D camera systems offer a promising method for weight estimation in emergency settings, potentially improving drug dosing accuracy and patient safety. Weight estimates were satisfactorily accurate, often exceeding the reported accuracy of existing weight estimation methods. Importantly, 3D camera systems possess characteristics that could make them very appropriate for use during emergency care. Future research should focus on developing and validating this methodology in larger studies with true external and clinical validation.

The accuracy of total body weight estimation in adults - A systematic review and meta-analysis

BACKGROUND

Weight estimation is required in adult patients when weight-based medication must be administered during emergency care, as measuring weight is often impossible. Inaccurate estimations may lead to inaccurate drug doses, which may cause patient harm. Little is known about the relative accuracy of different methods of weight estimation that could be used during resuscitative care. The aim of this study was to evaluate the performance and suitability of existing weight estimation methods for use in adult emergency care.

METHODS

A systematic literature search was performed for suitable articles that studied the accuracy of weight estimation systems in adults. The study characteristics, the quality of the studies, the weight estimation methods evaluated, the accuracy data, and any information on the ease-of-use of the method were extracted and evaluated.

RESULTS

A total of 95 studies were included, in which 27 different methods of total body weight estimation were described, with 42 studies included in the meta-analysis. The most accurate methods, determined from the pooled estimates of accuracy (the percentage of estimates within 10% of true weight, with 95% confidence intervals) were 3-D camera estimates (88.8% (85.8 to 91.8%)), patient self-estimates (88.7% (87.7 to 89.7%)), the Lorenz method (77.5% (76.4 to 78.6%)) and family estimates (75.0% (71.5 to 78.6%)). However, no method was without significant potential limitations to use during emergency care.

CONCLUSION

Patient self-estimations of weight were generally very accurate and should be the method of choice during emergency care, when possible. However, since alternative estimation methods must be available when confused, or otherwise incapacitated, patients are unable to provide an estimate, alternative strategies of weight estimation should also be available.

Validating a linear regression equation using mid-upper arm circumference to predict body mass index

BACKGROUND

Estimating body mass index (BMI) in hospitalised patients for nutritional assessment is challenging when measurement of weight and height is not feasible. The study aimed to validate a previously published regression equation to predict BMI using mid-upper arm circumference (MUAC). We also evaluated the proposed global MUAC cut-off of ≤24 cm to detect undernutrition.

METHODS

We measured standing height, weight, and MUAC prospectively in a sample of stable patients. Agreement between calculated and predicted BMI was evaluated using Bland-Altman analysis.

RESULTS

We studied 201 patients; 102 (51%) were male. Median (IQR age was 42 (29-50) years. 95% limits of agreement between predicted and calculated BMI were +0.6767 to +1.712 and the bias was +1.076. MUAC ≤24 cm was 97% sensitive and 83% specific to detect undernutrition.

CONCLUSION

BMI derived from MUAC had poor calibration for estimating actual BMI. However, low MUAC has good discriminative accuracy to detect undernutrition.

Effect of Estimated Blood Volume and Body Mass Index on GFAP and NfL Levels in the Serum and CSF of Patients With Multiple Sclerosis

BACKGROUND AND OBJECTIVES

To increase the validity of biomarker measures in multiple sclerosis (MS), factors affecting their concentration need to be identified. Here, we test whether the volume of distribution approximated by the patients' estimated blood volume (BV) and body mass index (BMI) affect the serum concentrations of glial fibrillary acidic protein (GFAP). As a control, we also determine the relationship between BV/BMI and GFAP concentrations in CSF. To confirm earlier findings, we test the same hypotheses for neurofilament light chain (NfL).

METHODS

NfL and GFAP concentrations were measured in serum and CSF (sNFL/sGFAP and cNFL/cGFAP) in 157 patients (n = 106 with MS phenotype and n = 51 with other neurologic/somatoform diseases). Using multivariate linear regressions, BV was tested in the MS cohort as a predictor for each of the biomarkers while controlling for age, sex, MS phenotype, Expanded Disability Status Scale score, gadolinium-enhancing lesions, and acute relapse. In addition, overweight/obese patients (BMI ≥25 kg/m2) were compared with patients with BMI <25 kg/m2 using the general linear model. The analyses were repeated including the neurologic/somatoform controls.

RESULTS

In the MS cohort, BV predicted sGFAP (ß = -0.301, p = 0.014). Overweight/obese patients with MS had lower sGFAP concentrations compared with patients with MS and BMI <25 kg/m2 (F = 4.732, p = 0.032). Repeating the analysis after adding patients with other neurologic/somatoform diseases did not change these findings (ß = -0.276, p = 0.009; F = 7.631, p = 0.006). Although sNfL was inversely correlated with BV (r = -0.275, p = 0.006) and body weight (r = -0.258, p = 0.010), those results did not remain significant after adjusting for covariates. BV and BMI were not associated with cGFAP or cNfL concentrations.

DISCUSSION

These findings support the notion that the volume of distribution of sGFAP approximated by BV and BMI is a relevant variable and should therefore be controlled for when measuring sGFAP in MS, while this might not be necessary when measuring cGFAP concentrations.

Trastuzumab deruxtecan versus chemotherapy for patients with HER2-low advanced breast cancer: A US-based cost-effectiveness analysis

Background: In recent years, the rise of antibody-drug conjugates (ADCs) has changed the treatment paradigm for patients with HER2-low advanced breast cancer (ABC). DESTINY-Breast04 (NCT03734029) has demonstrated the antitumor activity of trastuzumab deruxtecan (T-DXd). However, the balance between the efficacy and cost of T-DXd remains undefined. Consequently, there is a great need to assess the cost-effectiveness of T-DXd for patients with HER2-low ABC when compared with chemotherapy. Methods: A Markov decision-analytic model with a time horizon of 15 years was employed to estimate the costs and clinical efficacy of trials with the administration of T-DXd in contrast to chemotherapy alone as a later-line therapy in a group of patients with hormone receptor-positive (HR+) or negative (HR-) HER2-low ABC. The US payer perspective was taken into account when factors such as medical lifetime expenditure, incremental cost-effectiveness ratios (ICERs), and quality-adjusted life years (QALYs) were calculated. Sensitivity analyses were used to determine the model's stability. A subgroup analysis was also conducted on the HR+/HER2-low cohort. Results: T-DXd was associated with an improvement of 0.543, 0.558, and 0.789 QALYs when compared with treatment with chemotherapy for overall, HR+, and HR- HER2-low patients, respectively. However, incorporating T-DXd into later-line therapy led to increased costs ($161,406, $177,907, and $155,757), which causes the ICER for T-DXd to be $296,873, $318,944, and $197,355 per QALY. The cost of T-DXd and the patient's weight were the most influential factors for ICER. T-DXd being the dominant strategy is about 1.5%, 0.5%, and 28.0% in overall, HR+, and HR- HER2-low ABC patients, respectively. In addition, the T-DXd regimen was not cost-effective in all subgroups. Conclusion: Compared with chemotherapy, T-DXd was not cost-effective for patients with HER2-low ABC in the United States. However, it can provide more health benefits to patients with HR+/HER2-low ABC.

Development and Validation of a Length- and Habitus-Based Method of Ideal and Lean Body Weight Estimation for Adults Requiring Urgent Weight-Based Medical Intervention

BACKGROUND AND OBJECTIVE

Accurate drug dosing in obese patients requires an estimation of ideal body weight (IBW) or lean body weight (LBW) for dosing hydrophilic medications. Erroneous weight estimates during the management of adults requiring weight-based treatment may contribute to poor outcomes. Existing methods of IBW and LBW estimation or measurement are very difficult to use during emergency care. A new point-of-care model would be useful to provide rapid estimates of IBW and LBW for this purpose.

METHODS

A model was derived based on the PAWPER XL-MAC tape, a pediatric weight estimation system which uses recumbent length and mid-arm circumference to estimate IBW and LBW. The new adult model was used to generate IBW and LBW estimations for a derivation sample (n = 33155) and a validation sample (n = 5926) from National Health and Nutrition Examination Survey (NHANES) datasets. The model was developed in two steps, with calibration at each step, before being validated on an unused dataset. The outcome measure was to achieve >95% of IBW and LBW estimations within 20% of recognized reference standards (P20 > 95%) and >70% of estimations within 10% of these standards (P10 > 70%).

RESULTS

The new model achieved a P20 of 100% and a P10 of 99.9% for IBW and a P20 of 98.3% and a P10 of 78.3% for LBW. This accuracy was maintained in both sexes, all ages, all ethnic groups, all lengths, and in all habitus types, except for the severely obese female subgroup.

CONCLUSIONS

The modified PAWPER XL-MAC model proved to be an accurate method of IBW and LBW estimation. It could, therefore, have an important role in facilitating emergency drug dose calculations in obese adult patients.

Development and validation of a length- and habitus-based method of total body weight estimation in adults

BACKGROUND

Erroneous weight estimation during the management of emergency presentations in adults may contribute to patient harm and poor outcomes. Patients can often not be weighed during emergencies and a weight estimation is required to facilitate weight-based therapies. Many existing methods of weight estimation are either unacceptably inaccurate or very difficult to use during the provision of emergency care.

METHODS

The weight estimation system developed in this study was based on and modified from the PAWPER XL-MAC method, a pediatric weight estimation system that uses recumbent length and mid-arm circumference (MAC) to predict total body weight. This model was validated in the 2015-2018 National Health and Nutrition Examination Survey (NHANES) datasets. The primary outcome measure was to achieve >95% of estimations within 20% of measured weight (P20 > 95%).

RESULTS

The modified PAWPER XL-MAC model achieved a P20 of 96.0% and a P10 of 71.3% in the validation dataset (N = 11,520). This accuracy (P20 > 95%) was maintained in both sexes, all ages, all ethnic groups, all lengths and in all habitus-types, except for the subgroup of severely obese individuals.

CONCLUSIONS

The modified PAWPER XL-MAC model proved to be a very accurate method of weight estimation. It is more accurate than most other published reports of existing methods of weight estimation, except for patients' own estimations. It therefore could have a role in facilitating emergency drug dose calculations, if prospective studies bear out the accuracy found in this study.

Correlation between HDL2, HDL3 and serum ferritin levels with fatty liver and NAFLD activity score (NAS) in liver histology of organ donors

Background

Nonalcoholic fatty liver disease (NAFLD) is one of the most important liver diseases. High-density lipoprotein (HDL) has anti-atherogenic properties and its reduction can be associated with fatty liver. Serum ferritin levels are usually elevated in patients with NAFLD. This study aimed to evaluate the correlation between HDL subtypes and serum ferritin levels with evidence of NAFLD in liver histology of organ donors.

Methods

One hundred organ donor patients who were eligible for the study were included in the study and ferritin; HDL2 and HDL3 were measured in blood samples. Donated liver tissue biopsy specimens were evaluated for fatty liver and NAFLD activity score (NAS). In addition, AST and ALT were measured in recipients 24 h after transplant. All data abstracted and analyzed statistically.

Results

Serum HDL2 levels and HDL2/HDL3 ratio in patients with NAS > 1 were significantly lower (P < 0.05). Serum levels of HDL3 and ferritin were not significantly associated with NAS >1 (P > 0.05). In addition, serum ferritin > 1000 ng/ml in organ donors associated with increased AST and ALT levels 24 h after transplantation in the liver organ recipient.

Conclusions

Lower HDL2 values and HDL2/HDL3 ratio were associated with increased NAFLD activity score, but HDL3 and ferritin did not show such a relationship. In addition, higher levels of ferritin in organ donors may be associated with increased AST and ALT 24 h after liver transplantation in the organ recipient.

Comparison of adult weight estimation methods for use during emergency medical care

OBJECTIVE

Many emergency drug and fluid doses are weight dependent in adults, but in resuscitation and low-resource settings it can be impractical or impossible to weigh a patient. It is especially important to obtain accurate weight estimation for dose calculations for emergency drugs with narrow therapeutic ranges. Several weight estimation methods have been proposed for use in adults, but none is widely established. The aim of this study was to compare the accuracy of adult weight estimation methods.

METHODS

Demographic and body measurement data were obtained from the US National Health and Nutrition Examination Survey (NHANES), and 7 previously published weight estimation methods were used to estimate the weight for each individual. The primary outcomes were the proportions of estimates within 10% and 20% of actual weight (P10, P20). An acceptable accuracy was predetermined to be P10 = 70% and P20 = 95%.

RESULTS

The data set included 5158 adults (51.2% women) with sufficient data to calculate all weight estimation methods. The Lorenz method performed best (P10 = 86.8%, P20 = 99.4%) and met the standard of acceptability across sex and body mass index subgroups. The Mercy and PAWPER XL-MAC methods performed acceptably in non-obese adults.

CONCLUSION

The ideal weight estimation method should be accurate, rapid, simple, and feasible. This study has demonstrated the accuracy of 7 methods. The Lorenz method performed best but is complex and likely to be difficult to apply in resuscitation settings. Other simpler and quicker methods are at least as accurate as the best methods widely used in children, and there is potential for further calibrating these for use in adults before validation in real-world studies.

Assessment of body weight from percutaneous widths of the bones and joints-Implications in forensic and clinical examinations

BACKGROUND

Estimation of age, stature, sex, and ancestry contributes to the establishment of the biological profile of the deceased in forensic examinations. Assessment of the body weight aids in the approximation of the overall body size of the individual which may help in the forensic identification process. In clinical examinations, body weight assessment assumes importance in cases where body weight measurement is a challenging task due to illness and body deformity.

OBJECTIVE

The present research was conducted to estimate the body weight from the percutaneous width of the bones and joints with the help of prediction equations.

METHODS

The study was carried out on 344 adults (172 Females and 172 Males) aged between 18 and 25 years from the Himachal Pradesh State of North India. Eleven anthropometric measurements including height vertex, mid-arm circumference, humerus bicondylar width, transverse chest breadth, sagittal chest breadth, bi-iliac breadth, handbreadth, femur bicondylar breadth, ankle breadth, foot breadth, and body weight were taken on each individual. The sex differences were evaluated by using independent student t-test and Mann-Whitney U test and the correlation between the body weight and the anthropometric variables was investigated by using both Karl Pearson's correlation coefficient and Spearman's rank correlation coefficient depending upon the normality of the data. Regression models for the estimation of body weight were calculated. Further, a validation study was carried out to check the accuracy and utility of the derived regression models by calculating the mean absolute percent prediction error (MAPPE).

RESULTS

Significant sex differences were observed among all the anthropometric variables. The transverse chest breadth and mid-arm circumference were strongly correlated with the body weight, whereas, a good correlation was also observed in other measurements except for the ankle breadth. The SEE (Standard error of estimate) of the derived linear regression models was compared, and it was found that multiple linear regression models show better accuracy than simple linear regression models. The MAPPE was found to be less in the case of multiple linear regression models than the linear ones.

CONCLUSION

The present investigation concludes that regression models can be used in the estimation of body weight from the percutaneous measurements and joint widths with reasonable accuracy in an Indian population.

Agreement of body weight of older adults measured on digital chair scale and mechanical platform scale

ABSTRACT Objective The aim of the study was to evaluate the agreement between the weight of older adults measured on a chair scale and a platform scale. Methods This is a cross-sectional study. We evaluated 131 older adults (?60 years old), walk-in patients, admitted to a university hospital. Weight was measured on a digital chair scale model MS5811 (Charder® brand) and after on a mechanical platform scale (Filizola® brand). For the agreement analysis, the intraclass correlation coefficient and the Bland-Altman plot were used. Results Most of the sample consisted of males individuals (57.3%; n= 75). The average age was 70.47±7.59 years (60-96 years old). Measured by both methods, weight showed normal distribution. The average weight measured was 67.99±14.03 kg on the chair scale and 68.04±14.02 kg on the platform scale. The intraclass correlation coefficient of weight measured by the two methods was 1.00 (IC95%=1.00-1.00; p<0.001). In the Bland-Altman plot, the mean bias for the weight measured on the chair scale and the platform scale was 0.049 (IC95%=-0.011 to 0.110; p=0.1084). Conclusions The agreement between the weight measured on a chair scale and on a platform scale was almost excellent. Thus, the chair scale can be used as an alternative method of measuring weight, especially in the older adults with postural instability, mobility restrictions or immobility syndrome.

Accuracy of Critical Care Transport Team Estimation of Patient Height and Weight in Scene Responses

Estimates of clinically relevant information, such as height, weight, blood loss, and burn area, have consistently been fraught with error in the health care setting. Seemingly little has been done in health care education to improve estimate outcomes. Standardized tools, most often in pediatric populations, have become commonplace to guide acute care management when misestimation of data points like height or weight would likely have its biggest impact on patient care and outcome. This article is a retrospective study of a critical care transport team's abilities to estimate patient height and weight in scene responses using the Glasgow Coma Scale score as an indicator for the likelihood of patient input. Ultimately, height was removed as a variable because of the paucity and unreliability of the collected data. The expected outcome with respect to weight estimates was observed; with decreased patient Glasgow Coma Scale scores, the discrepancy in provider estimate increased from 8% to 12%. Although statistically significant, it does not represent the level of aberrancy noted in other studies, which has been reported to be as high as 40%.

Mid-arm circumference method is invalid to estimate the body weight of elderly Emergency Department patients in the Netherlands

In the Emergency Department (ED) actual body weight (ABW) is essential for accurate drug dosing. Frequently, the ABW is unknown and direct measurement troublesome. A method using the mid-arm circumference (MAC) to estimate ABW has been developed and validated in the United States of America (USA). This study aimed to validate the MAC-formula for estimating ABW in the Dutch population and compare its performance within the American population.Data were obtained from the Dutch National Institute for Public Health and the Environment (RIVM) and extracted from the American National Health and Nutrition Examination Survey (NHANES) datasets. We included all subjects' ≥70 years whose MAC and weight were recorded and obtained additional anthropometric data. We used the equation: kg = 4 × MAC-50 to estimate the ABW of all subjects and compared results.We retrieved 723 and 972 subjects from the Dutch and American dataset, respectively. The MAC is better correlated with ABW in the American dataset when compared with the Dutch dataset (Pearson r = 0.84 and 0.68, respectively). Bland-Altman bias was -7.49 kg (Limits-of-Agreement [LOA] -27.5 to 12.27 kg) and -0.50 kg (LOA -20.99 to 19.99 kg) in the Dutch and American datasets, respectively.The MAC based formula to estimate ABW is a promising tool for the elderly American population. However it is not accurate within the Dutch elderly ED population. Consequently, it is not applicable to Dutch EDs. This study highlights that the results of anthropometric studies performed within the USA are not per se generalizable to the European population.

Estimation of weight in adults from height: a novel option for a quick bedside technique

Purpose

In critical care situations, there are often neither the means nor the time to weigh each patient before administering strict weight-based drugs/procedures. A convenient, quick and accurate method is a priority in such circumstances for safety and effectiveness in emergent interventions as none exists in adults while those available are complex and yet to be validated. We aimed to study the correlation and accuracy of a quick bedside method of weight estimation in adults using height.

Method

The technique is estimated body weight—eBW(kg) = (N − 1)100, where ‘N’ is the measured height in metres.

Adult undergraduates were enrolled 10/09/2015. Their heights and weights were measured while the formula was used to obtain the estimated weight. The SPSS version 21.0, Chicago, IL, USA was utilised for data analysis.

Results

We analysed 122 participants aged 21–38 years with height = 1.55 m–1.95 m. The actual body weight range = 48.0 kg–91.0 kg, mean = 65.3 kg ± 9.7 kg and S.E. = 2.0 while eBW = 55 kg–95 kg, mean = 69.1 kg ± 8.4 kg and S.E. = 1.5. On BMI classes, a positive predictive value of 94.7% for the ‘normal’ category and 95.5% for ‘overweight’.

Correlation coefficient at 99% confidence interval yielded (r) = + 1, (P = 0.000) while the linear regression coefficient (r²) = + 1 at 95% confidence interval (P = 0.000).

The strength of agreement/precision was established by the Bland-Altman plot at 95% ± 2 s (P = 0.000) and kappa statistic with value = 0. 618.

Conclusion

This unprecedented statistical characterisation of the two weight estimate measures to have a good agreement scientifically proposes the utility of our method with the formula eBW(kg) = 100(N−1) in critical care and ATLS protocol.

Sleep disorder diagnoses and clinical outcomes among hospitalized breast cancer patients: a nationwide inpatient sample study

PURPOSE

Sleep disturbances are recognized as a problem for many cancer patients, but little is known about the prevalence of sleep disorders among women hospitalized with breast cancer, or their relationship to in-hospital outcomes. The present study represents a first step toward determining the clinical significance of sleep disorders for hospitalized breast cancer patients with regard to complications, length of hospital stay, and mortality.

METHODS

The relationships between sleep disorders and in-hospital outcomes among 84,424 hospitalized breast cancer patients were examined. This study analyzed the Nationwide Inpatient Sample (NIS) database (2007 to 2011) for all women ages 40 years and older with a primary discharge diagnosis of breast cancer and a secondary discharge diagnosis of sleep disorder. Odds ratios, estimates, and 95% confidence intervals were computed using multivariable regression adjusting for age, comorbidities, race, cancer stage, income, insurance type, residential region, year of discharge, and surgical treatment type.

RESULTS

Among women hospitalized with a primary diagnosis of breast cancer, 2% (n = 1807) also received a diagnosis of a sleep disorder during hospitalization, the majority of which were sleep-related breathing disorders (n = 1274). Although there was no significant association between having a diagnosis of a sleep disorder and in-hospital mortality, patients with a sleep disorder were more likely to also experience complications (OR = 1.58, 95% CI 1.29-1.34) and have longer hospital stays (mean = 0.44 days longer, 95% CI 0.25-0.63).

CONCLUSION

Hospitalized breast cancer patients with a sleep disorder were more likely to experience clinical complications and stay longer in the hospital. It remains an open and important question for future research whether interventions to improve sleep during hospitalization would help to improve clinical outcomes.

Exploring the impact of using measured or estimated values for height and weight on the relationship between BMI and acute hospital mortality

PURPOSE

Studies have demonstrated an association between height and weight and mortality among patients in the Intensive Care Unit (ICU) and the optimal body mass index (BMI) might be well above the optimal values in the general population. Most of these studies have relied on estimated values, the validity of which is not known.

MATERIAL AND METHODS

Admissions to adult general ICUs from 1 April 2009 to 31 March 2016 in the Case Mix Programme (CMP) Database were described by height and weight assessment methods (measured or estimated). A multilevel logistic regression model was built, which had acute hospital mortality as the outcome and included standard case mix adjustment, BMI, the assessment method and the interactions between BMI and assessment method.

RESULTS

There were 690,405 eligible admissions and most patients (59.7%) had estimates of height and/or weight recorded. Patients with both height and weight measured had lower severity and mortality. The association between BMI and mortality was reverse J-shaped with the lowest mortality at BMI 34.3kg/m2. Whether height and weight were measured or estimated did not influence the association between BMI and mortality.

CONCLUSIONS

For epidemiological comparisons of mortality among critically ill adults, estimated values of height and weight appear valid.

Feasibility, effectiveness and cost-effectiveness of a telephone-based weight loss program delivered via a hospital outpatient setting

Engaging patients in a group-based weight loss program is a challenge for the acute-care hospital outpatient setting. To evaluate the feasibility, effectiveness and cost-effectiveness of a telephone-based weight loss service and an existing face-to-face, group-based service a non-randomised, two-arm feasibility trial was used. Patients who declined a two-month existing outpatient group-based program were offered a six-month research-based telephone program. Outcomes were assessed at baseline, two months (both groups) and six months (telephone program only) using paired t tests and linear regression models. Cost per healthy life year gained was calculated for both programs. The telephone program achieved significant weight loss (-4.1 ± 5.0 %; p = 0.001) for completers (n = 35; 57 % of enrolees) at six months. Compared to the group-based program (n = 33 completers; 66 %), the telephone program was associated with greater weight loss (mean difference [95%CI] -2.0 % [-3.4, -0.6]; p = 0.007) at two months. The cost per healthy life year gained was $33,000 and $85,000, for the telephone and group program, respectively. Telephone-delivered weight management services may be effective and cost-effective within an acute-care hospital setting, likely more so than usual (group-based) care.

Automatic RBG-depth-pressure anthropometric analysis and individualised sleep solution prescription

INTRODUCTION

Sleep surfaces must adapt to individual somatotypic features to maintain a comfortable, convenient and healthy sleep, preventing diseases and injuries. Individually determining the most adequate rest surface can often be a complex and subjective question.

OBJECTIVES

To design and validate an automatic multimodal somatotype determination model to automatically recommend an individually designed mattress-topper-pillow combination.

METHODS

Design and validation of an automated prescription model for an individualised sleep system is performed through a single-image 2 D-3 D analysis and body pressure distribution, to objectively determine optimal individual sleep surfaces combining five different mattress densities, three different toppers and three cervical pillows.

RESULTS

A final study (n = 151) and re-analysis (n = 117) defined and validated the model, showing high correlations between calculated and real data (>85% in height and body circumferences, 89.9% in weight, 80.4% in body mass index and more than 70% in morphotype categorisation).

CONCLUSIONS

Somatotype determination model can accurately prescribe an individualised sleep solution. This can be useful for healthy people and for health centres that need to adapt sleep surfaces to people with special needs. Next steps will increase model's accuracy and analise, if this prescribed individualised sleep solution can improve sleep quantity and quality; additionally, future studies will adapt the model to mattresses with technological improvements, tailor-made production and will define interfaces for people with special needs.

Association between body mass index and in-hospital outcomes: Analysis of the nationwide inpatient database

IMPORTANCE

Over one-third of American adults (36%) are obese and more than two-thirds (69%) are overweight. The impact of obesity on hospitalization outcomes is not well understood.

OBJECTIVE

To examine the association between body mass index (BMI) and overall, cancer, chronic obstructive pulmonary disease (COPD), asthma, and cardiovascular disease (CVD)-specific in-hospital mortality; postsurgical complications; and hospital length of stay (LOS).

DESIGN

Cross-sectional study.

SETTING

Representative sample of US hospitals included in the Health Cost and Utilization Project Nationwide Inpatient Sample database.

PARTICIPANTS

We obtained data for patients admitted with a primary diagnosis of cancer, COPD, asthma, and CVD.

MAIN OUTCOME

In-hospital mortality, postsurgical complications, and hospital LOS.

RESULTS

A total of 800,417 patients were included in this analysis. A higher proportion of Blacks (26.8%; 12.5%) and Whites (23.3%; 8.7%) had BMI of 40 to 49.9 and ≥50, respectively, compared with Hispanics (20.4%; 7.3%). Compared with normal BMI patients, the odds of in-hospital mortality increased 3.6-fold (odds ratio [OR] 3.62, 95% confidence interval [CI]: 3.37-3.89) for preobese patients, 6.5-fold (OR: 6.52, 95% CI: 5.79-7.34) for patients with BMI: 30 to 31.9, 7.5-fold (OR: 7.57, 95% CI: 6.67-8.59) for patients with BMI: 34 to 35.9, and 1.6- fold (OR: 1.77, 95% CI: 1.56-1.79) for patients with BMI ≥ 50. Compared with normal BMI patients, preobese and overweight patients had shorter hospital stays (β preobese: -1.58, 95% CI: -1.63, -1.52); however, no clear trends were observed for postsurgical complications.

CONCLUSIONS

The majority of hospitalized patients in this analysis had a BMI > 30, and higher BMI was associated with increased risk of mortality and longer hospital stay.

Accuracy of estimation of total body weight by legs and head weight measuring and comparison method in the anesthetized patients

Context:

Accurate patient weight is an important factor in the emergency and operating room departments.

Aims:

The aim of this study is to determine the accuracy of estimation of total body weight by legs and head weight measuring and comparison method in the anesthetized patients.

Settings and Design:

Education of hospitals, Mazandaran University of Medical Sciences, prospective, observational study.

Subjects and Methods:

This is prospective observational study. Nursing staff were asked to estimated weight that knows about a similar person weight on the operating room and matched together, then told his/her guests. They were measured total body weight before anesthesia and then patient head and legs weight after anesthesia. The main outcome was mean weight of these methods and percent accuracy in weight estimation for each group recorded.

Statistical Analysis:

Descriptive statistically used.

Results:

Overall, 57.3% (243/425) of operating personnel estimations were equal with actual weight. 35.4% (150/425) of the estimations were less 10 kg than the actual weight and only 7.3 (31/425) of the estimations were above 5 kg of actual weight. The accuracy of overall estimations by operating personnel and its comparison to the accuracy of legs weight, head, and sum weight by a similar method is demonstrated.

Conclusions:

Despite having no formula in the critical intensive care and anesthesia region for estimation anesthetized, for comatose patient weight. We can use this formula, but where possible, should be based on measured weight for drug dose calculation and this is not possible, combination of these formulas is suitable.