Validity of Stature-predicted Equations using Knee Height for Elderly and Mobility Impaired Persons in Koreans

Anthropometric Equations to Determine Maximum Height in Adults ≥ 60 Years: A Systematic Review

Although it is common to measure bone lengths for study, methodological errors in data measurement and processing often invalidate their clinical and scientific usefulness. This manuscript reviews the validity of several published equations used to determine the maximum height in older adults, since height is an anthropometric parameter widely employed in health sciences. A systematic review of original articles published in the English, Spanish, or Portuguese languages was performed in PubMed, ScienceDirect, EBSCO, Springer Link, and two institutional publisher integrators (UACJ and CONRICYT). The search terms were included in the metasearch engines in a combined way and text form using the Boolean connectors AND and OR {(Determination OR Estimation OR Equation) AND Height AND (Elderly OR "Older adults")}. Eleven manuscripts were selected from 1935 records identified through database searching after applying the following criteria: (1) original articles that designed and validated equations for the determination of height by anthropometric methods in adults 60 years of age and older and (2) manuscripts that presented robust evidence of validation of the proposed regression models. The validity of the reported linear regression models was assessed throughout a manuscript review process called multi-objective optimization that considered the collection of the models, the prediction errors, and the adjustment values (i.e., R², standard error of estimation, and pure error). A total of 64 equations were designed and validated in 45,449 participants (57.1% women) from four continents: America (85.3%, with 46 equations), Asia (8.1%, with 10), Europe (4.6%, with 7), and Africa (2.0%, with 1); the Hispanic American ethnic group was the most numerous in participants and equations (69.0%, with 28). Due to various omissions and methodological errors, this study did not find any valid and reliable equations to assess the maximum height in older adults by anthropometric methods. It is proposed to adjust allometric mathematical models that can be interpreted in the light of ontogenetic processes.

Height Prediction Using the Knee Height Measurement Among Indonesian Children

BACKGROUND

Height is essential for assessing growth and nutrition in children. Assessing height with appropriate measurement is important, although in certain physically disabled and hospitalized children direct height measurement is almost not possible. In these situations, segmental measurements can be used as proxy height. Knee height (KH) has been determined as the most reliable surrogate.

OBJECTIVE

This study aimed to establish a height-predicted equation using KH for use in both community and clinical practices.

METHODS

This was a cross-sectional study design that collected data from 1114 healthy children (596 boys and 518 girls) aged 7 to 12 years to develop the equations for predicting height from KH. A multiple linear regression analysis was used to develop the equations.

RESULTS

Two equations were established to predict height using KH: (1) for boys H = 29.895 + (0.081 × age [months] + (2.267 × KH)) and (2) for girls H = 26.297 + (0.110 × age [months] + (2.278 × KH)). The very high correlation between KH and actual height indicates a very strong agreement.

CONCLUSIONS

Knee height can be used for prediction equations for height with a very good predictive power. The age variable using the month unit generates a more accurate equation.

Bayes factor: A useful tool to quantitatively evaluate and compare performance of multiple stature estimation equations

When stature estimation of incomplete skeletal remains is necessary, researchers select an estimation equation which will produce the most accurate estimates. The purpose of this study is to propose that, given prior information of a target sample, the Bayes factor can be a useful tool to quantitatively evaluate and compare performance of multiple equations in this regard. This study also explores the best-performing equations to reconstruct statures of Korean War casualties with a demonstration of equation comparisons by the Bayes factor. Thirty-three sets of stature estimates were generated using different equations based on the osteometric data of the Korean War casualties. The distribution of each set was compared to that of the population (i.e., Korean servicemen during the Korean War) using the Bayes factors and posterior probabilities generated by the R codes in the LearnBayes package. A higher Bayes factor indicates a closer similarity between the two distributions under comparison. The equation with the highest Bayes factor in this study was Choi et al.'s (1997) humerus equation (bf=9.84), followed by the femur equation of the same authors (bf=5.3). The Bayesian approach has advantages over the traditional frequentist approach primarily based on the p-value. Particularly, the Bayes factor can provide practical interpretations on the models under comparison, which allows for a quantitative prioritization of different models. Researchers can obtain more accurate stature estimates of a target sample by using the equation of the highest Bayes factor.

Estimating the height of elderly nursing home residents: Which equation to use?

Estimating equations can be used when measuring the height of elderly persons is not possible. However, such methods are not always applicable; therefore, it is necessary to consider several aspects, such as sex, age, and ethnicity of the studied population to generate these equations. This study aimed to compare and validate methods of estimating the height of the Brazilian elderly nursing home residents. An accuracy study was conducted with 168 elderly persons. A total of 23 equations were quantitatively evaluated by plotting the differences in means, the Student's t-test for paired samples, the coefficient of determination (R2), the root-mean-square error (RMSE), the interclass correlation coefficient (ICC), and by graphic analysis of the residuals. A significance value of p <0.05 was adopted. An equation was considered applicable when it had R2 >0.7, the lowest RMSE among the equations evaluated, ICC >0.7, and a confidence interval of 95%, with the smallest difference between the upper and lower limits. A greater mean height was noted among younger elderly persons and elderly men compared to up to 80 years and women elderly. Quantitative analysis revealed that equation for Puerto Ricans, using knee height and age, was the most applicable for the overall population (ICC = 0.802). The same equation was applicable for the elderly Brazilian male participants (ICC = 0.838) and for those aged 60-69 years (ICC = 0.895). None of the equations used were applicable for the height estimation of elderly women or individuals aged 70 years or more.

Accuracy of height estimation and tidal volume setting using anthropometric formulas in an ICU Caucasian population

BACKGROUND

Knowledge of patients' height is essential for daily practice in the intensive care unit. However, actual height measurements are unavailable on a daily routine in the ICU and measured height in the supine position and/or visual estimates may lack consistency. Clinicians do need simple and rapid methods to estimate the patients' height, especially in short height and/or obese patients. The objectives of the study were to evaluate several anthropometric formulas for height estimation on healthy volunteers and to test whether several of these estimates will help tidal volume setting in ICU patients.

METHODS

This was a prospective, observational study in a medical intensive care unit of a university hospital. During the first phase of the study, eight limb measurements were performed on 60 healthy volunteers and 18 height estimation formulas were tested. During the second phase, four height estimates were performed on 60 consecutive ICU patients under mechanical ventilation.

RESULTS

In the 60 healthy volunteers, actual height was well correlated with the gold standard, measured height in the erect position. Correlation was low between actual and calculated height, using the hand's length and width, the index, or the foot equations. The Chumlea method and its simplified version, performed in the supine position, provided adequate estimates. In the 60 ICU patients, calculated height using the simplified Chumlea method was well correlated with measured height (r = 0.78; ∂ < 1 %). Ulna and tibia estimates also provided valuable estimates. All these height estimates allowed calculating IBW or PBW that were significantly different from the patients' actual weight on admission. In most cases, tidal volume set according to these estimates was lower than what would have been set using the actual weight.

CONCLUSION

When actual height is unavailable in ICU patients undergoing mechanical ventilation, alternative anthropometric methods to obtain patient's height based on lower leg and on forearm measurements could be useful to facilitate the application of protective mechanical ventilation in a Caucasian ICU population. The simplified Chumlea method is easy to achieve in a bed-ridden patient and provides accurate height estimates, with a low bias.

Enteral nutritional intake in adult korean intensive care patients

BACKGROUND

Nutritional support is important for maximizing clinical outcomes in critically ill patients, but enteral nutritional intake is often inadequate.

OBJECTIVE

To assess the nutritional intake of energy and protein during the first 4 days after initiation of enteral feeding and to examine the relationship between intake and interruptions of enteral feeding in Korean patients in intensive care.

METHODS

A cohort of 34 critically ill adults who had a primary medical diagnosis and received bolus enteral feeding were studied prospectively. Energy and protein requirements were determined by using the Harris-Benedict equation and the American Dietetic Association equation. Energy and protein intake prescribed and received and the reasons for and lengths of feeding interruptions were recorded for 4 consecutive days immediately after enteral feeding began.

RESULTS

Although the differences between requirements and intakes of energy and protein decreased significantly, patients did not receive required energy and protein intake during the 4 days of the study. Energy intake prescribed was consistently less than required on each of the 4 days. Enteral nutrition was withheld for a mean of 6 hours per patient for the 4 days. Prolonged feeding interruptions due to gastrointestinal intolerance (r= -0.874; P < .001) and procedures (r= -0.839; P = .005) were negatively associated with the percentage of prescribed energy received.

CONCLUSIONS

Enteral nutritional intake was insufficient in bolus-fed Korean intensive care patients because of prolonged feeding interruptions and underprescription of enteral nutrition. Feeding interruptions due to gastrointestinal intolerance and procedures were the main contributors to inadequate energy intake.

Adequacy of early enteral nutrition in adult patients in the intensive care unit

AIMS AND OBJECTIVES

To evaluate the adequacy of energy and protein intake of patients in a Korean intensive care unit in the first four days after initiation of enteral feeding and to investigate the factors that had impact on adequate intake.

BACKGROUND

Underfeeding is a common problem for patients hospitalised in the intensive care unit and is associated with severe negative consequences, including increased morbidity and mortality.

DESIGN

A prospective, cohort study was conducted in a medical intensive care unit of a university hospital in Korea.

METHODS

A total of 34 adult patients who had a primary medical diagnosis and who had received bolus enteral nutrition for the first four days after initiation of enteral nutrition were enrolled in this study. The data on prescription and intake of energy and protein, feeding method and feeding interruption were recorded during the first four days after enteral feeding initiation. Underfeeding was defined as the intake <90% of required energy and protein.

RESULTS

Most patients (62%) received insufficient energy, although some (29%) received adequate energy. More than half of patients (56%) had insufficient protein intake during the first four days after enteral feeding was initiated. Logistic regression analysis showed that the factors associated with underfeeding of energy were early initiation of enteral nutrition, under-prescription of energy and prolonged interruption of prescribed enteral nutrition.

CONCLUSION

Underfeeding is frequent in Korean critically ill patients owing to early initiation, under-prescription and prolonged interruption of enteral feeding.

RELEVANCE TO CLINICAL PRACTICE

  Interventions need to be developed and tested that address early initiation, under-prescription and prolonged interruption of enteral nutrition. Findings from this study are important as they form the foundation for the development of evidence-based care that is badly needed to eliminate underfeeding in this large vulnerable Korean intensive care unit population.