scholarly journals Assessment of Computed Tomography-Defined Muscle and Adipose Tissue Features in Relation to Length of Hospital Stay and Recurrence of Hypertriglyceridemic Pancreatitis

Author(s):  
Huajun Yu ◽  
Yingbao Huang ◽  
Lifang Chen ◽  
Liuzhi Shi ◽  
Yunjun Yang ◽  
...  

Abstract Background: Analytic morphometric assessment has recently been proposed to be applied to the study of acute pancreatitis (AP). However, the relationship between body composition and the outcomes of hypertriglyceridemic pancreatitis (HTGP) is still unclear. The aim of this study was to evaluate body composition in relation to the length of hospital stay (LOS) and recurrence of HTGP.Methods: Patient characteristics, admission examination data, body composition parameters, LOS, and recurrence within 1 year were collected from the institutional pancreatitis database and follow-up records. Logistic regression analysis was used to identify risk factors for LOS and recurrence of HTGP.Results: Of the 196 included patients, 158 (80.6%) were men and 53 (27.0%) were sarcopenic. The average LOS was 15.83±10.02 days. The recurrence rate of HTGP was 36.7%. Multivariate analysis with multiple linear regression suggested that subcutaneous fat area (SFA) (p=0.019) and high-density lipoprotein-cholesterol (HDL-C) (p=0.001) were independently associated with the LOS for HTGP after adjusting for age and sex. The multivariate adjusted hazard ratios for SFA and HDL-C, with respect to the relationship between body parameters and LOS, were 1.008 (95% confidence interval [CI], 1.001–1.015) and 0.090 (95% CI, 0.022–0.361), respectively. No significant differences were observed between the AP and recurrent AP (RAP) groups in terms of characteristics, admission examination data, and body composition parameters.Conclusion: SFA and HDL-C are associated with LOS in patients with HTGP. The body composition of patients at the first symptom onset of HTGP cannot predict recurrence.

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Sun Z ◽  
◽  
Jia X ◽  
Chen L ◽  
◽  
...  

This study displays a retrospective cohort analysis in the Reproductive and Genetic Health Center of Peking University First Hospital. Data were collected from 411 women receiving ART. The body composition, sex hormones and biochemical indicators were assessed by Bioelectrical Impedance Analysis (BIA). Subjects were grouped by Body Mass Index (BMI) and Body Fat Percentage (BFP), and differences of body composition among groups were analyzed. Multiple linear regression analysis was used to evaluate the relationship between sex hormones, biochemical indicators and body composition. Compared with the non-overweight group (BMI <24kg/m²), the lean body mass and fat mass of the overweight group (BMI ≥24kg/m²) increased significantly (P <0.001). Notably, 43.7% of non-overweight subjects have increased body fat as distinguished by PBF. The visceral adipose tissue increased by 50.9% in subjects with more fat. Fasting Blood Glucose (FBG), triglyceride, Low Density Lipoprotein Cholesterol (LDL-C) and testosterone were positively correlated with trunk fat, while High Density Lipoprotein Cholesterol (HDL-C) and estradiol were negatively correlated with trunk fat. Moreover, total cholesterol was positively correlated with Bone Mineral Content (BMC). Therefore, this research demonstrated significant differences in body composition between overweight and non-overweight women receiving ART. Combining PBF with BMI, obesity can be identified more accurately. Biochemical metabolism and sex hormones were related to body composition. Therefore, women receiving ART require detailed measurements of body composition, not BMI. Further studies are needed to confirm the relationship between pregnancy outcomes and body composition in women receiving ART treatment.


Author(s):  
Furkan Kaya ◽  
Petek Şarlak Konya ◽  
Emin Demirel ◽  
Neşe Demirtürk ◽  
Semiha Orhan ◽  
...  

Background: Lungs are the primary organ of involvement of COVID-19, and the severity of pneumonia in COVID-19 patients is an important cause of morbidity and mortality. Aim: We aimed to evaluate the visual and quantitative pneumonia severity on chest computed tomography (CT) in patients with coronavirus disease 2019 (COVID-19) and compare the CT findings with clinical and laboratory findings. Methods: We retrospectively evaluated adult COVID-19 patients who underwent chest CT, clinical scores, laboratory findings, and length of hospital stay. Two independent radiologists visually evaluated the pneumonia severity on chest CT (VSQS). Quantitative CT (QCT) assessment was performed using a free DICOM viewer, and the percentage of the well-aerated lung (%WAL), high-attenuation areas (%HAA) at different threshold values, and mean lung attenuation (MLA) values were calculated. The relationship between CT scores and the clinical, laboratory data, and length of hospital stay were evaluated in this cross-sectional study. The student's t-test and chi-square test were used to analyze the differences between variables. The Pearson correlation test analyzed the correlation between variables. The diagnostic performance of the variables was assessed using receiver operating characteristic (ROC) analysis was used. Results: The VSQS and QCT scores were significantly correlated with procalcitonin, d-dimer, ferritin, and C-reactive protein levels. Both VSQ and QCT scores were significantly correlated with disease severity (p<0.001). Among the QCT parameters, the %HAA-600 value showed the best correlation with the VSQS (r=730,p<0.001). VSQS and QCT scores had high sensitivity and specificity in distinguishing disease severity and predicting prolonged hospitalization. Conclusion: The VSQS and QCT scores can help manage the COVID-19 and predict the duration of hospitalization.


2014 ◽  
Vol 44 (2) ◽  
pp. 279-286 ◽  
Author(s):  
Francisco Teixeira Andrade ◽  
Márvio Lobão Teixeira de Abreu ◽  
João Batista Lopes ◽  
Agustinho Valente de Figueiredo ◽  
Maria de Nazaré Bona Alencar Araripe ◽  
...  

Body composition analysis is relevant to characterize the nutritional requirements and finishing phase of fish. The aim of this study was to investigate the relationship between ichthyometric (weight, total and standard length, density and yields), bromatological (fat, protein, ash and water content) and bioelectrical-impedance-analysis (BIA) (resistance, reactance, phase angle and composition indexes) variables in the hybrid tambatinga (Colossoma macropomum × Piaractus brachypomus). In a non-fertilized vivarium, 520 juveniles were housed and fed commercial rations. Then, 136 days after hatching (DAH), 15 fish with an average weight of 37.69 g and average total length of 12.96 cm were randomly chosen, anesthetized (eugenol) and subjected to the first of fourteen fortnightly assessments (BIA and biometry). After euthanasia, the following parts were weighed: whole carcass with the head, fillet, and skin (WC); fillet with skin (FS); and the remainder of the carcass with the head (CH). Together, FS and CH were ground and homogenized for the bromatological analyses. Estimates of the body composition and yields of tambatinga, with models including ichthyometric and BIA variables, showed correlation coefficients ranging from 0.81 (for the FS yield) to 1,00 (for the total ash). Similarly, models that included only BIA variables had correlation coefficients ranging from 0.81 (FS and CH yields) to 0.98 (for the total ash). Therefore, in tambatinga, the BIA technique allows the estimation of the yield of the fillet with skin and the body composition (water content, fat, ash, and protein). The best models combine ichthyometric and BIA variables.


1994 ◽  
Vol 71 (6) ◽  
pp. 823-833 ◽  
Author(s):  
Marjolein Visser ◽  
Ellen Van Den Heuvel ◽  
Paul Deurenberg

To study the relationship between health and nutritional status in elderly populations, information about body composition is essential. To collect this information in large epidemiological studies, practical methods based on anthropometric data must be available. In the present study the relationship between body composition, determined by densitometry, and anthropometric data in 204 elderly men and women, aged 60–87 years, was analysed. Existing prediction equations described in the literature, and mainly based on young and middle-aged subjects, generally underestimated percentage body fat in the elderly study population. Therefore, new prediction equations were developed, based on sex and the sum of two (biceps and triceps) or four (biceps, triceps, suprailiaca and subscapula) skinfolds or the body mass index (BMI). Addition of age or body circumferences to the models did not improve the prediction of body density. Internal cross validation and external validation revealed that the formulas are valid for the estimation of body density in elderly subjects. The standard errors of estimate of the three models, expressed as percentage body fat, were 5.6, 5.4 and 4.8% respectively.


1996 ◽  
Vol 8 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Robert H. DuRant ◽  
William O. Thompson ◽  
Maribeth Johnson ◽  
Tom Baranowski

This follow-up investigation examined the relationship among observed time of television watching, physical activity, and body composition in 5- to 6-year-old children previously studied 2 years ago. Activity level on school and nonschool days was measured with the Children’s Activity Rating Scale. Television watching time was assessed by direct observation, and body composition was measured with the body mass index, skinfold thicknesses, and waist/hip ratio. Television watching behavior, which increased from the earlier study, was not associated with body composition. Physical activity was lower during television watching than nontelevision watching time.


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