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Revista colombiana de Gastroenterología

Print version ISSN 0120-9957On-line version ISSN 2500-7440

Rev. colomb. Gastroenterol. vol.37 no.4 Bogotá Oct./Dec. 2022  Epub July 07, 2023

https://doi.org/10.22516/25007440.936 

Original article

Factors associated with muscle mass and strength in patients with liver cirrhosis: A cross-sectional study

Juan David Vélez-Aguirre1  * 

Ismael de Jesús Yepes-Barreto2 

1Pharos, Research group in Science, Technology and Health. Faculty of Medicine, Universidad de Cartagena. Cartagena, Colombia.

2Clinical Research Center Gastropack. Cartagena, Colombia.


Abstract

Introduction:

Sarcopenia is a frequent complication of cirrhosis and has been related to the progression of liver failure and increased complications, including mortality. This study aimed to determine the factors associated with muscle mass and strength in cirrhotic patients.

Materials and methods:

Cross-sectional, descriptive, analytical study. All adults who attended outpatient hepatology assessment with a diagnosis of liver cirrhosis were included. They underwent a nutritional examination that included anthropometric measurements, bioimpedanciometry, grip strength, and the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) screening scale. A linear or logistic regression analysis was performed as appropriate.

Results:

40 patients were included. The frequency of malnutrition was 17.5%, according to grip strength. The main determinants of muscle mass in the multivariate linear analysis were age, total body protein value, and total body water. Grip strength was also a significant predictor in univariate linear regression. Variables related to decreased muscle strength were the Child-Pugh score, history of ascites and hepatic encephalopathy, consumption of ammonium-lowering therapies, RFH-NPT score, and fat-free mass.

Conclusions:

The skeletal muscle mass of the cirrhotic patient was associated with age, changes in body composition, and grip strength. The muscle strength determinants were the disease’s stage, the consumption of ammonium-lowering therapies, and the score on the RFH-NPT scale.

Keywords: Sarcopenia; hepatic cirrhosis; nutritional assessment; muscular strength

Resumen

Introducción:

la sarcopenia es una complicación frecuente de cirrosis y se ha relacionado con progresión de insuficiencia hepática y aumento de las complicaciones, incluida la mortalidad. El objetivo del presente estudió fue determinar los factores asociados a la masa y la fuerza muscular en pacientes cirróticos.

Métodos:

estudio de corte transversal, descriptivo y analítico. Se incluyó a todos los adultos que acudieron a valoración ambulatoria por hepatología con diagnóstico de cirrosis hepática. A todos se les realizó una valoración nutricional que incluyó mediciones antropométricas, bioimpedanciometría, fuerza de agarre y la escala de tamización Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT). Se realizó un análisis de regresión lineal o logística, según correspondiera.

Resultados:

se incluyó a 40 pacientes. La frecuencia de malnutrición fue de 17,5% de acuerdo con la fuerza de agarre. Los principales determinantes de la masa muscular en el análisis lineal multivariable fueron la edad, el valor de proteína corporal total y el agua corporal total. La fuerza de agarre también fue un predictor significativo en la regresión lineal univariable. Las variables relacionadas con fuerza muscular disminuida fueron el puntaje Child-Pugh, la historia de ascitis y de encefalopatía hepática, el consumo de terapias de disminución de amonio, la puntuación en la escala RFH-NPT y la masa libre de grasa.

Conclusiones:

la masa muscular esquelética del paciente cirrótico se asoció con la edad, cambios en la composición corporal y la fuerza de agarre. Los determinantes de la fuerza muscular fueron el estadio de la enfermedad, el consumo de terapias de disminución de amonio y la puntuación en la escala RFH-NPT.

Palabras clave: Sarcopenia; cirrosis hepática; evaluación nutricional; fuerza muscular

Introduction

Sarcopenia is a common complication of cirrhosis and has been associated with the progression of liver failure and an increased rate of complications, including mortality1. Despite its manifest clinical importance, the risk factors related to decreased muscle mass and strength in cirrhotic patients have been poorly evaluated.

In addition to the fact that no method is superior to the others, assessing this group of patients is still controversial1. Among the available tools, grip strength has emerged as a simple, low-cost, and effective method to detect malnutrition in cirrhotic patients, which adequately predicts the incidence of major complications, the need for transplantation, and mortality compared to some clinical indices2.

This study used different nutritional assessment methods, including grip strength, to determine the factors associated with muscle mass and strength in cirrhotic patients in our setting.

Materials and methods

A cross-sectional, descriptive, analytical study was carried out. Convenience sampling was defined. The population consisted of patients older than 18 who attended follow-up with outpatient hepatology in a medical center in Cartagena de Indias, Colombia, between January 2022 and March 2022. They had an unequivocal diagnosis of liver cirrhosis per clinical (signs of decompensation and laboratory findings or upper GI endoscopy [EGD] demonstrating esophageal varices), ultrasound (increased liver surface nodularity, increased liver echogenicity, right lobe atrophy, hypertrophy of the left or caudate lobes, decreased liver size, portosystemic shunts), elastographic (Baveno VI definition > 15 KPa regardless of etiology)3, or pathological (liver biopsy with evidence of severe fibrosis or cirrhosis) criteria.

We excluded patients in whom factors associated with malnutrition were presumed (patients diagnosed with human immunodeficiency virus [HIV] infection, hepatocarcinoma, stage V chronic kidney disease, on renal replacement therapy, with cognitive impairment that prevented an adequate caloric intake, or who had used oral steroids chronically in the month before the tests) or who, due to some physical limitation, could not undergo any of the required tests of the study.

All study subjects were in a follow-up protocol that included screening for hepatocellular carcinoma4 and esophageal varices with EGD, as proposed in Baveno VI3. The Calès5 classification was used to describe esophageal varices. The etiological diagnosis of cirrhosis was made following current international clinical practice guidelines6-12. Cryptogenic cirrhosis was determined in those cases where it was impossible to decide on any attributable etiology. Subsequently, all the subjects were scheduled for a day of nutritional assessment, including measurement of weight, height, body mass index (BMI), corrected body mass index, bioimpedanciometry, mid-arm circumference (MAC), triceps skin fold (TSF), mid-arm muscle circumference (MAMC), and grip strength, determination of ascites and peripheral edema, and application of the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) screening scale.

The InBody 270® Segmental Multifrequency DSM-BIA body composition analyzer was used to determine weight. Dry weight was calculated following the European Association for the Study of the Liver (EASL) clinical practice guidelines for nutrition in patients with chronic liver disease1. The DETECTO® PHR portable stadiometer was used, with an accuracy of ± 0.005 m for each measurement. Dry BMI was calculated using the formula: dry weight/(height)2. The cut-off scores proposed by Campillo et al. regarding malnutrition13 were used for the corrected BMI.

An experienced physician measured the TSF (mm) and MAC (cm) on the non-dominant arm of each patient with a tape measure and caliper. Measurements were made at the midpoint between the acromion tip and the olecranon process, with the patient sitting in a relaxed position. The average of two consecutive measurements for each variable was recorded.

The MAMC (cm) was calculated according to the following formula: MAMC = MAC - (TSF * 0.314)14. The values were classified according to the TSF and MAMC tables standardized for age and sex proposed by Bishop et al. in 198115 (Appendix 1), and moderate and severe malnutrition were diagnosed according to Campillo et al.’s criteria16. According to the manufacturer’s recommendations, a trained physician performed bioimpedance analysis with the InBody 270® body composition analyzer.

Grip strength was measured in the non-dominant arm. The average (in kilograms) of two consecutive measurements was reported. The results were compared with the reference values put forward by Budziareck et al. in 200817, and malnutrition was defined as a value below the 5th percentile according to age group and sex. The Jamar hydraulic dynamometer was employed to guarantee the comparability of the measurements.

An expert doctor filled out the RFH-NPT nutritional screening scale, which consists of a questionnaire of basic questions that include the patient’s feeding route, the presence of acute hepatitis, the state of fluid overload, the dry BMI, the degree of unintentional weight loss, and any acute comorbidity that modifies dietary intake. Nutritional risk was calculated based on Borhofen et al.’s scores18.

The results of each patient’s laboratory examinations were recorded three months before the nutritional assessment date to calculate the disease’s prognostic indices.

Statistical analysis

Quantitative and categorical variables were described using mean (standard deviation [SD]) and percentages, respectively. A logistic regression or linear regression analysis was used, as appropriate, to identify the factors associated with muscle mass and grip strength. Results were expressed as odds ratio (OR) or regression coefficients (B). A p less than or equal to 0.05 was considered statistically significant.

Ethical aspects

We complied with all the ethical regulations for research in humans under Colombian Resolution 8430 dated October 4, 1993, which qualifies the present investigation as of minimal risk since no intervention made was invasive. The institution’s ethics committee designed, disseminated, and approved a written informed consent form. All patients freely and independently agreed to participate in the study.

Results

Sample description

Forty patients with a previous diagnosis of liver cirrhosis were included. No diagnosis was made de novo since all the patients were referred from other institutions. The majority were women (65%), and the mean age was 66. The diagnosis was confirmed mainly by elastographic (72.5%) and ultrasound (17.5%) methods, and only four patients (10%) had the definitive anatomopathological study. The most common causes of advanced chronic liver disease were nonalcoholic steatohepatitis (NASH) cirrhosis in 42.5% (17 patients) and cryptogenic cirrhosis in 25% (ten patients) (Table 1).

Table 1 Baseline characteristics of the patients 

Total sample n = 40
Age (years) 66 (4.58)
Average (SD)
Identification
- Women, n (%) 26 (65)
- Urban, n (%) 39 (97.5)
Personal history
- High blood pressure, n (%) 18 (45)
- Type 2 diabetes mellitus, n (%) 15 (37.5)
- Chronic kidney disease, n (%) 6 (15)
- Smoking, n (%) 5 (12.5)
- Osteoporosis, n (%) 2 (5)
- Menopause*, n (%) 22 (84)
- History of ascites, n (%) 14 (35)
- History of hepatic encephalopathy, n (%) 10 (25)
- History of variceal bleeding, n (%) 4 (10)
Diagnostic information
Etiology
- NASH, n (%) 17 (42.5)
- Cryptogenic, n (%) 10 (25)
- AIH/PBC overlap, n (%) 4 (10)
- HCV infection, n (%) 3 (7.5)
- AIH, n (%) 3 (7.5)
- Alcoholic, n (%) 2 (5)
- SBC, n (%) 1 (2.5)
Varicose veins
- Yes, n (%) 20 (50)
Varicose vein size
- Small, n (%) 5 (25)
- Medium, n (%) 6 (30)
- Large, n (%) 9 (45)
Child-Pugh score
- A, n (%) 31 (77.5)
- B, n (%) 9 (22.5)
- C, n (%) 0
- Modified MELD, n (%) 13.37 (1.16)

PBC: primary biliary cholangitis; SBC: secondary biliary cholangitis; AIH: autoimmune hepatitis; MELD: Model for End-stage Liver Disease; NASH: nonalcoholic steatohepatitis; HCV: chronic infection with the hepatitis C virus. Source: The authors.

So, 77.5% were classified as category A (31 patients) on the Child-Pugh prognostic scale, and 22.5% as category B (nine patients). None were category C. Also, 42.5% (17 patients) had a history of decompensation, and the leading causes were ascites in 35% (14 episodes) and hepatic encephalopathy in 25% (ten episodes); 50% (20 patients) had esophageal varices, of which 45% (nine patients) were large. The mean modified MELD score was 13.37 points (Table 1).

Regarding the anthropometric variables, the average BMI of the population was 27.36 kg/m2, the skeletal muscle mass was 25.18 kg, and the average grip strength was 15.62 kg (Table 2).

Table 2 Results of nutritional assessment 

Anthropometry
Triceps fold (mm) Average (SD) 20.18 (3.88)
Mid-arm circumference (cm) Average (SD) 27.37 (1.46)
Mid-arm muscle circumference (cm) Average (SD) 21.03 (0.78)
Grip strength (kg) Average (SD) 15.62 (2.23)
Bioimpedancemetry
Weight (kg) Average (SD) 74.21 (5.23)
Size (m) Average (SD) 1.65 (0.02)
BMI (m/kg2) Average (SD) 27.36 (2.16)
Total body water (kg) Average (SD) 39.06 (3.24)
Bone mineral content (kg) Promedio (DE) 3.78 (0.36)
Body fat mass (kg) Average (SD) 19.37 (4.97)
Fat mass percentage (%) Average (SD) 25.18 (5.78)
Skeletal muscle mass (kg) Average (SD) 27.36 (2.80)
Fat-free mass (kg) Average (SD) 54.83 (4.80)
Total body protein (kg) Average (SD) 9.73 (0.91)
Muscular strength
Normal, n (%) 33 (82.5)
Decreased, n (%) 7 (17.5)

Source: The authors.

Factors associated with skeletal muscle mass

Univariate linear regression found an association between skeletal muscle mass, male sex, and total body protein value. Grip strength also had a statistically significant relationship (b = 0.55; 95% confidence interval [CI]: 0.36-3.04; p = 0.0001) (Table 3).

Table 3 Univariable linear regression: skeletal muscle mass 

Relationship of variables with skeletal muscle mass
Univariable linear regression
Variable B CI p
Male sex 10.56 7.98 a 13.14 0.0001
Age -0.205 -0.36 a -0.04 0.01
High blood pressure 2.49 -2.44 a 7.43 0.3
Type 2 diabetes mellitus -1.23 -5.67 a 3.21 0.56
Chronic kidney disease 1.49 -4.70 a 7.68 0.61
Smoking -1.07 -9.45 a 7.29 0.78
Osteoporosis -4.4 -11.68 a 2.87 0.21
Menopause -0.75 -6.69 a 5.18 0.79
History of ascites 0.57 -6.78 a 7.94 0.87
History of hepatic encephalopathy -2.4 -10.79 a 5.98 0.55
History of variceal bleeding 1.57 -6.43 a 9.58 0.68
KDIGO classification of chronic kidney disease -0.04 -0.11 a 0.02 0.22
Child-Pugh score -0.02 -0.15 a 0.10 0.71
BMI -0.03 -0.06 a -0.006 0.01
Bioimpedancemetry
- Total body water 0.39 0.17 a 0.60 0.001
- Mineral 0.17 -0.04 a 0.39 0.11
- Body fat mass -0.02 -0.06 a 0.009 0.13
- Body fat percentage 0.061 0.01 a 0.11 0.017
- Fat-free mass -0.16 -0.24 a -0.07 0.0001
- Total body protein 2.43 2.07 a 2.8 0.0001
Anthropometry
- TSF -0.002 -0.009 a 0.005 0.57
- MAMC 0.024 -0.003 a 0.05 0.08
- Grip strength 0.55 0.36 a 0.74 0.0001
- RFH-NPT -1.38 -5.82 a 3.047 0.52

MAMC: mid-arm muscle circumference; RFH-NPT: Royal Free Hospital-Nutritional Prioritizing Tool; TSF: triceps fold. Source: The authors.

Multivariate linear regression was performed with the variables that had a significant association with muscle mass in the univariate linear regression. Association was found with age, total body protein value, BMI, total body water, fat mass percentage, and fat-free mass. This analysis found no significant association between muscle strength and the male sex (Table 4).

Table 4 Multivariate linear regression: skeletal muscle mass 

Relationship of variables with skeletal muscle mass
Variable B CI p
Male sex 0.13 -0.01 a 0.27 0.07
Age -0.005 -0.009 a -0.001 0.01
BMI -0.048 -0.07 a -0.02 0.001
Total body water 0.52 0.33 a 0.70 0.0001
Total body protein 2.22 1.89 a 2.54 0.0001
Body fat mass percentage 0.28 0.01 a 0.04 0.0001
Fat-free mass -0.21 -0.29 a -0.14 0.0001

Source: The authors.

Factors associated with muscle strength

Univariable linear regression was performed, noting that the main factors associated with muscle strength were male sex (b = 11.94; 95% CI: 8.5 to 15.3; p = 0.0001), age (b = -0.28; 95% CI -0.46 to -0.096; p = 0.004), chronic kidney disease (b = -6.11; 95% CI -10.92 to -1.31; p = 0.016), and fat-free mass (b = 4.01; 95% CI: 0.095 to 7.93; p = 0.045). Multivariate linear regression was performed with variables that had a significant association with muscle strength in univariate linear regression. In this analysis, male gender was the only independent predictor of muscle strength (b = 10.79; 95% CI 7.17 to 14.42; p = 0.0001).

Accordingly, the data on gender and age were analyzed based on Budziareck et al.’s tables17. The variables related to the decrease in muscle strength were the Child-Pugh score, history of ascites and hepatic encephalopathy, use of ammonium-lowering therapies, RFH-NPT score, and fat-free mass (Table 5).

Table 5 Univariate linear regression: muscle strength according to Budziareck et al.’s sex and age tables17  

Regresión lineal univariable
Variable OR CI p
Male sex 3.06 0.57 a 16.30 0.189
Age 1.01 0.94 a 1.08 0.686
High blood pressure 1.81 0.34 a 9.40 0.48
Type 2 diabetes mellitus 1.31 0.25 a 6.87 0.74
Chronic kidney disease 2.9 0.41 a 20.27 0.283
Smoking 1.2 0.11 a 12.81 0.87
History of ascites 6.66 1.09 a 40.7 0.04
History of hepatic encephalopathy 6 1.05 a 34.14 0.04
Presence of varicose veins 8.1 0.87 a 75.47 0.06
KDIGO classification of chronic kidney disease 2.49 0.83 a 7.39 0.1
Ammonium-lowering therapy 6 1.05 a 34.14 0.04
Serum albumin 0.85 0.2 a 3.6 0.82
Child-Pugh score 7.46 1.26 a 44 0.02
BMI 1.2 0.98 a 1.5 0.07
Corrected BMI 0.93 0.09:9.50 0.95
Bioimpedancemetry
- Skeletal muscle mass 1.06 0.93 a 1.20 0.35
- Body fat mass 1 0.92 a 1.08 0.97
- Body fat percentage 0.97 0.90 a 1.04 0.42
- Fat-free mass 1.08 1 a 1.18 0.05
- Total body protein 1.21 0.82 a 1.79 0.32
Anthropometry
- TSF 1 0.91 a 1.09 0.98
- MAC 1.03 0.84 a 1.27 0.752
- MAMC 1.07 0.79 a 1.45 0.65
Scales
- Nutritional status according to the MAMC 0.49 0.49 a 2.43 0.813
- RFH-NPT 5.69 1.09 a 29.71 0.039

Source: The authors.

Malnutrition prevalence

Taking into account the scores obtained in the RFH-NPT, 40% (16 patients) had a moderate and high risk of malnutrition. Regarding the standardized MAMC tables proposed by Bishop et al.15, 37.5% (15 patients) had some degree of malnutrition. Based on the age and sex tables by Budziareck et al.17, 17.5% (seven patients) presented with decreased muscle strength. According to the IMCC, 15% (six patients) had malnutrition.

Discussion

The present study identified that the main determinants of skeletal muscle mass in cirrhotic patients were male sex, age, BMI, total body water, fat mass percentage, fat-free mass, total body protein, and grip strength.

Few works have tried to answer this question. In 2019, a study conducted by Sung et al.19 demonstrated that grip strength (<18 kg for women; <26 kg for men), age (>60 years), history of hepatic encephalopathy, and elevated levels of Wisteria floribunda agglutinin-positive mac-2-binding protein (WFA+-M2BP > 1.86 COI; a recent marker of liver fibrosis)20 were the main predictors of loss of skeletal muscle mass in a population of cirrhotic patients.

Another study by Hiraoka et al. concluded that increased Child-Pugh score and decreased serum albumin levels were the most critical risk factors associated with decreased muscle mass and strength in patients with chronic liver disease21. Our study found no significant relationship between serum albumin levels and muscle mass or strength.

Regarding the other results, the relationship found between muscle mass and total body water could be explained by the fact that the water content of skeletal muscle mass is approximately between 70% and 75%, causing the total body water volume to increase at the expense of intracellular water in skeletal muscle fibers22.

It is striking that, in our results, a negative association was found between skeletal muscle mass and fat-free mass. It could be speculated that the greater free mass in these patients is determined by increased extracellular water due to the pathophysiological processes typical of advanced chronic liver disease23.

We also could demonstrate a significant relationship between muscle mass and strength, whose indirect measurement through grip strength has been emerging in recent years as a cost-effective, non-invasive tool in the early identification of malnutrition in cirrhotic patients24 and even as a predictor of mortality25.

Our analysis revealed similar results for muscle strength to those reported in previous studies. Significant relationships were found with male sex, age, presence and severity of chronic kidney disease, and fat-free mass. Sex was the only independent predictor in multivariate linear regression.

A study conducted by Nishikawa et al. in 2021 observed that in men, the main determinants of muscle strength loss were age, diagnosis of cirrhosis, glomerular filtration rate, and the ratio of extracellular water to total body water. Meanwhile, in women, they were the diagnosis of cirrhosis, serum albumin concentrations, the albumin:bilirubin ratio, prothrombin time, platelet count, and the ratio of extracellular water to total body water26.

Consequently, considering the apparent differences between the sexes concerning muscle strength under Budziareck et al.’s tables17, the population was discriminated by sex and age. It was shown that the variables most closely related to muscle strength were the Child-Pugh score, history of ascites, history of hepatic encephalopathy, use of ammonium-lowering therapies, RFH-NPT score, and fat-free mass. Some of these factors, such as the Child-Pugh score and history of encephalopathy, were also reported in Sung et al.’19 and Hiraoka et al.’21 works.

The use of ammonium therapies was related to decreased muscle strength. This finding is not surprising and can be explained by the fact that currently, the indication for these therapies is limited to the management of overt encephalopathy and secondary prophylaxis to prevent recurrences27, which implies more advanced stages of chronic liver disease.

The RFH-NPT scale has been correlated with clinical deterioration, the severity of the disease (according to the Child-Pugh and MELD scores), and the appearance of different clinical complications such as ascites, hepatorenal syndrome, and hepatic encephalopathy. In addition, its application is an independent predictor of clinical deterioration and transplant-free survival, and improvements in this scale are associated with improved survival18. The most recent EASL guidelines support its use1. Our study revealed that it is the only screening scale significantly associated with muscle strength, so it is a good tool for identifying cirrhotic patients at risk of malnutrition.

In the present study, the prevalence of malnutrition ranged between 15% and 40% depending on the method used. This reflected the need for more uniformity among the available instruments and expressed the need for precise tools that can be used in daily practice. All this, added to the heterogeneous groups included in the studies, the severity of the disease, the etiology of cirrhosis, and the comorbidities presented, makes the prevalence of malnutrition in the literature vary greatly: 10% to 100%28.

Taking into account that in our study, grip strength was the only nutritional assessment tool significantly associated with muscle mass, it could be determined that the most accurate prevalence of malnutrition was 17.5%. The high prevalence evidenced by the RFH-NPT score (40%) does not diminish its validity but, on the contrary, positions it as a good screening tool with excellent sensitivity.

The other measurements used in the nutritional assessment of cirrhotic patients did not have a significant association with each other or with the RFH-NPT. Thus, our results do not support using any of them (IMCC, MAMC, TSF, MAC) in daily practice.

The main limitation of our study was the sample size, considering that the collection of patients was restricted by the coronavirus disease 2019 (COVID-19) pandemic. Besides, there are no standardized national tables for anthropometric measurements (MAC, TSF, MAMC) or the grip strength values used in this study. To adequately interpret the results, local tables should be designed that account for our population’s characteristics.

The main strength is that it is the first study that comprehensively evaluates the nutritional status of cirrhotic patients in Latin America.

Conclusions

The skeletal muscle mass of the cirrhotic patient was mainly associated with age, changes in body composition, and grip strength.

The main determinants of muscle strength were the stage of the disease, the use of ammonium-lowering therapies, and the score on the RFH-NPT scale. The latter seems to be a helpful tool for screening the nutritional status of cirrhotic patients in daily practice.

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Citation: Vélez-Aguirre JD, Yepes-Barreto IJ. Factors associated with muscle mass and strength in patients with liver cirrhosis: A cross-sectional study. Revista. colomb. Gastroenterol. 2022;37(4):410-419. https://doi.org/10.22516/25007440.936

Appendix 1

Standardized TSF and MAMC tables for age and sex proposed by Bishop et al. in 198115

Baseline TSF values distributed by age in US men 

Age group Sample size Estimated population Mean Percentile
Age Millions mm 5th 10th 25th 50th 75th 90th 95th
18-74 5261 61.18 12.0 4.5† 6.0 8.0 11.0 15.0 20.0 23.0
18-24 773 11.78 11.2 4.0 5.0 7.0 9.5 14.0 20.0 23.0
25-34 804 13.00 12.6 4.5 5.5 8.0 12.0 16.0 21.5 24.0
35-44 664 10.68 12.4 5.0 6.0 8.5 12.0 15.5 20.0 23.0
45-54 765 11.15 12.4 5.0 6.0 8.0 11.0 15.0 20.0 25.5
55-64 598 9.07 11.6 5.0 6.0 8.0 11.0 14.0 18.0 21.5
65-74 1657 5.50 11.8 4.5 5.5 8.0 11.0 15.0 19.0 22.0

†Values are given in units of mm. Table prepared from data collected during NHANES I from 1971 to 1974.

Baseline TSF values distributed by age in US women 

Age group Sample size Estimated population Mean Percentile
Age Millions mm 5th 10th 25th 50th 75th 90th 95th
18-74 8410 67.84 23.0 11.0† 13.0 17.0 22.0 28.0 34.0 37.5
18-24 1523 12.89 19.4 9.4 11.0 14.0 18.0 24.0 30.0 34.0
25-34 1896 13.93 21.9 10.5 12.0 16.0 21.0 26.5 33.5 37.0
35-44 1664 11.59 24.0 12.0 14.0 18.0 23.0 29.5 35.5 39.0
45-54 836 12.16 25.4 13.0 15.0 20.0 25.0 30.0 36.0 40.0
55-64 669 9.98 24.9 11.0 14.0 19.0 25.0 30.5 35.0 39.0
65-74 1822 7.28 23.3 11.5 14.0 18.0 23.0 28.0 33.0 36.0

†Values are given in units of mm. Table prepared from data collected during NHANES I from 1971 to 1974.

MAMC reference values distributed by age in US men 

Age group Sample size Estimated population Mean Percentile
Age Millions cm 5th 10th 25th 50th 75th 90th 95th
18-74 5261 61.18 28.0 23.8† 24.8 26.3 27.9 29.6 31.4 32.5
18-24 773 11.78 27.4 23.5 24.4 25.8 27.2 28.9 30.8 32.3
25-34 804 13.00 28.3 24.2 25.3 26.5 28.0 30.0 31.7 32.9
35-44 664 10.68 28.8 25.0 25.6 27.1 28.7 30.3 32.1 33.0
45-54 765 11.15 28.2 24.0 24.9 26.5 28.1 29.8 31.5 32.6
55-64 598 9.07 27.8 22.8 24.4 26.2 27.9 29.6 31.0 31.8
65-74 1657 5.50 26.8 22.5 23.7 25.3 26.9 28.5 29.9 30.7

†Values are given in units of cm. Table prepared from data collected during NHANES I from 1971 to 1974.

MAMC baseline values distributed by age in US women 

Age group Sample size Estimated population Mean Percentile
Age Millions cm 5th 10th 25th 50th 75th 90th 95th
18-74 8410 67.84 22.2 18.4† 19.0 20.2 21.8 23.6 25.8 27.4
18-24 1523 12.89 20.9 17.7 18.5 19.4 20.6 22.1 23.6 24.9
25-34 1896 13.93 21.7 18.3 18.9 20.0 21.4 22.9 24.9 26.6
35-44 1664 11.59 22.5 18.5 19.2 20.6 22.0 24.0 26.1 27.4
45-54 836 12.16 22.7 18.8 19.5 20.7 22.2 24.3 26.6 27.8
55-64 669 9.98 22.8 18.6 19.5 20.8 22.6 24.4 26.3 28.1
65-74 1822 7.28 22.8 18.6 19.5 20.8 22.5 24.4 26.5 28.1

†Values are given in units of cm. Table prepared from data collected during NHANES I from 1971 to 1974.

Received: July 08, 2022; Accepted: September 27, 2022

*Correspondence: Juan David Vélez-Aguirre. jdavidze@outlook.com

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