An Estimation Formula for Resonance Frequency Using Sex and Height for Healthy Individuals and Patients with Incurable Cancers.

Resonance frequency breathing is a technique that involves breathing that maximizes heart rate variability. It is specific to individuals and is determined through a procedure taking approximately 30 min, using a procedure that is often best carried out at specialized medical institutions. This is a physical and time-consuming burden because of hospital visits and measurements, particularly for patients with cancer. Therefore it would be beneficial if a procedure can be found to determine resonance frequency from the patient's physical characteristics, without the need for special assessment procedures. This exploratory cross-sectional study examined the correlation between individual characteristics and resonance frequency in healthy volunteers. Multiple regression analysis was performed with the measured resonance frequency as the target variable and individual characteristic parameters as explanatory variables. The study aims to build an estimation formula for resonance frequency with some of these parameters and assess its validity. In addition, the validity of the formula's applicability to patients with incurable cancers is assessed. A total of 122 healthy volunteers and 32 patients with incurable cancers were recruited as participants. The median resonance frequency of 154 participants was six breaths per min. Sex and height were selected as explanatory variables associated with the measured resonance frequency in the volunteers. The estimation formula for resonance frequency using individual characteristics was 17.90-0.07 × height for men and 15.88-0.06 × height for women. Adjusted R-squared values were 0.55 for men and 0.47 for women. When the measured resonance frequency in patients with incurable cancers was six breaths per minute or less, the resonance frequency estimated by this formula was slightly larger than the measured ones. Information on individual characteristics, such as sex and height, which can be easily obtained, was useful to construct an estimation formula for resonance frequency.

A simple anthropometric estimation formula for healthy female labourers' leg volume.

BACKGROUND: Leg volume (LV) is an important reference in nutrition, physiology in exercise, or clinical diagnosis. Therefore, how to evaluate LV easily and quickly with accuracy is important in these areas. AIM: To develop a simple anthropometric estimation formula with ease of use and good accuracy for leg volume (LV) of female labourers. SUBJECTS: One hundred and thirty female labourers (110 subjects for formula regression procedure and 20 subjects for the comparison phase) were recruited as subjects with no reported leg surgery history, trauma, or deformity. METHODS: A set of 3 D scanners was used to measure the range data of each subject's leg. RESULTS: The resultant LV estimation formula is LV = 0.215 × LL × CTH1.620 with R2 = 0.967, in which LL stands for leg length and CTH for circumference of thigh. Mean error of this LV estimation is 0.10% and much smaller than that of the previous study (25.11% with significant difference). CONCLUSION: An anthropometric estimation formula for female labourers' leg volume was developed in this study. Estimation mean error of this formula is much smaller than the one in the previous study. This formula is easy to use and shows good accuracy in estimating female labourers' leg volume.

[Effectiveness of the system for predicting the risk of developing an acute angle closure glaucoma attack]. / Éffektivnost' sistemy prognozirovaniia riska razvitiia ostrogo pristupa zakrytougol'noi glaukomy.

One of the most severe urgent conditions of the eye capable of leading to untreatable blindness is an acute attack of glaucoma. This condition is an acute decompensation of eye hydrodynamics, which develops with primary angle-closure glaucoma (PACG). Detectability of PACG is only high at the sudden development of an acute attack, which can cause a sharp decrease or even irreversible loss of vision. PURPOSE: To assess the effectiveness of predicting the development of PACG in eyes with short anterior-posterior axis. MATERIAL AND METHODS: The study included 69 patients (90 eyes) aged 46 to 80 years with short anterior-posterior axis. We used our own mathematical formulas for calculating the risk of PACG development. According to these formulas, two groups of patients with high risk of PACG were selected. Patients of the main group underwent cataract phacoemulsification for preventive purposes, while patients of the comparison group did not undergo any operative treatment. RESULTS AND DISCUSSION: In the long-term, PACG did not develop in the patients of the main group. Patients of the comparison group refused to undergo cataract phacoemulsification, and had PACG develop in 38% of cases in the long-term follow-up. CONCLUSION: The high efficiency of the developed screening model for estimating the risk of PACG developing in eyes with short anterior-posterior axis has been proved. Preventive cataract phacoemulsification in the eyes with a high risk of PACG development in all cases helped to avoid it, retaining and even improving visual functions.

A Simple Spectrophotometric Method for Coccidian Oocysts Counting in Broiler Feces.

PURPOSE: This study aimed to develop a rapid spectrophotometric method for counting coccidian oocysts in broilers feces, based on a standard count method "Malassez cell". METHODS: Therefore, a raw suspension containing purified oocysts of Eimeria known to parasitize broiler chicken was used. Five concentrations of oocyst suspensions were prepared, and three series of counts using the proposed method were compared with the conventional protocol using Malassez cell to quantify oocysts. Calibration curves were drawn to correlate the specific absorbance measurement at 550 nm and the number of coccidian oocysts quantified using Malassez cell counting (oocysts mL-1). RESULTS: The obtained results allowed to establish a formula for an easy estimation of the cell count based on their respective absorbance. The developed method can be used not only for the in vitro evaluation of the anticoccidian activity of natural or synthetic substances, but also for assessing oocysts production and the level of coccidian infection in broilers. CONCLUSION: The estimation formula has been found to be satisfactory and useful for a wide range of Eimeria oocyst suspension, offering a methodology with high potential for automation in anticoccidian tests in vivo and in vitro.

Resting energy expenditure in cancer patients: Agreement between predictive equations and indirect calorimetry.

BACKGROUND/OBJECTIVES: Disorders of energy metabolism is a common phenomenon in cancer patients. Changes in resting energy expenditure (REE) combined with inadequate nutrition support appear to be causes of nutritional depletion in cancer patients. In clinical practice, REE is typically calculated using predictive equations. The aim of this study was to determine the agreement between REE estimated by predictive equations and REE measured by IC in Portuguese cancer patients. Differences in measured REE between patients with different types of digestive cancers were also assessed. SUBJECTS/METHODS: REE was measured by indirect calorimetry (IC) in 61 patients with cancer diagnosis (gastric cancer, cholangiocarcinoma, pancreatic cancer, liver cancer and colorectal cancer). Measured REE values were compared with those estimated by equations of Harris-Benedict, Schofield, Ireton-Jones, Mifflin-St.Jeor and Barcellos I and II. RESULTS: Mean Respiratory Quotient (RQ) was 0.77 ± 0.09, which indicates high lipids utilization as substrate. No statistically significant differences between REE or RQ from patients with different cancer types were observed. All equations underestimate REE: Harris-Benedict, mean difference -648 kcal (limits of agreement +627 to -1923 kcal); MifflinSt.Jeor, mean difference -694 kcal (limits of agreement +544 to -193 kcal); Schofield, mean difference -531 kcal (limits of agreement +662 to -1723 kcal); and Ireton-Jones, mean difference -556 kcal (limits of agreement +774 to -1887 kcal). Barcellos I and II showed lower mean difference when compared to measured REE, +59 and + 52 kcal, respectively, although presenting wide limits of agreement, +1542 to -1424 kcal and +1429 to -1326, respectively. CONCLUSIONS: Although Barcellos Equations underestimate less and enable more accurate average REE prediction in cancer patients, still present wide limits of agreement and therefore clinically important differences in REE estimation may be found at individual level. Our results support the appropriateness of measuring REE by IC to better adequate the nutrition support to cancer patients. Further research is needed to improve the current knowledge base of energy expenditure in cancer patients, and to improve the accuracy of existing predictive equations.

Assessing skeletal muscle mass based on the cross-sectional area of muscles at the 12th thoracic vertebra level on computed tomography in patients with oral squamous cell carcinoma.

OBJECTIVES: This study aimed to create a formula to estimate the third lumbar vertebra (L3)1 level skeletal muscle cross-sectional area (CSA), known as a standard value to evaluate skeletal muscle mass on computed tomography (CT), using the twelfth thoracic vertebra (Th12) level skeletal muscle CSA on chest CT. MATERIALS AND METHODS: This retrospective observational study included patients aged 40 + years with a diagnosis of oral squamous cell carcinoma (n = 164). Skeletal muscle CSA on CT images was measured using the Th12 and the L3 levels of pretreatment CT scans. The predictive formula was created based on the five-fold cross-validation method with a linear regression model. Correlations between the predicted L3-level CSA and the actual L3-level CSA were evaluated using r and Intraclass Correlation Coefficients (ICC). RESULTS: The predictive formula for L3-level CSA from Th12-level CSA was: CSA at L3 (cm2) = 14.143 + 0.779 * CSA at Th12 (cm2) - 0.212 * Age (y) + 0.502 * Weight (kg) + 13.763 * Sex. Correlations between the predicted and measured L3-level CSA were r = 0.915 [0.886-0.937] and ICC = 0.911 [0.881-0.934]. CONCLUSION: We developed a formula for predicting skeletal muscle mass from the Th12-level CT slice. The predicted L3-level CSA correlated with the measured L3-level CSA.

Evaluation of the Accuracy of Horse Body Weight Estimation Methods.

Methods of estimating horse body weight using mathematical formulae have better accuracy than methods of reading body weight from measuring tape. The aim of the study was to evaluate established formulae for estimating horse body weight from data gathered using measurement tape. The research was conducted in a group of 299 adult horses and ponies of selected breeds: ponies (n = 58), Polish Noble Half Breed (n = 150), Silesian Breed (n = 23), Wielkopolski Breed (n = 52), and Thoroughbred (n = 16). Body measurements were performed on each horse using a measuring stick and tape. The actual body weight of the horses was measured with electronic scale. Statistical analysis was carried out separately for individual breeds of horses. In each of the research groups formulae were selected, the results of which were closest to the actual horse body weight readings. The use of formulae for body weight estimation can be useful in determining feed dosages and additives, medicines or deworming agents. Regular weight measurement is important for maintaining a healthy horse.