Naslov
Corelation between minimal cross-sectional area and body surface area

Autori
Jurlina, Martin ; Mladina, Ranko ; Dawidowsky, Krsto ; Prstačić, Ratko

Izvornik
Rhinology - abstract book , 19th Congress of the European Rhinologic Society (0300-0729) 40 (2002); 27-27

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, kongresno priopcenje, znanstveni

Sažetak
Purpose: The abscence of normal, expected values of the minimal cross sectional area (MCA) in normal (helthy) population seems to be the bigest obstacle towards further development of the acustic rhinometry as a reliable, decision making examination tool. The authors believe that the values of the MCA can and must be standardized in a simple way, i.e. they need corrective factor. Rubner discovered over the hundred years ago that the energy waste in all animals with the constant body temperature is in a linear proportion to their average body surface area (BSA). Oxygen consumption respiratory volume and minute heart volume are also in a linera proportion to the BSA. The aim of this study was to investigate possible correlation between MCA and BSA among various group in normal population. Methods: since the results of our pilot study considering correlation between the values of MCA and BSA were very promising, we have broaden our investigation and included a larger population of normal adult subjects. Overall 220 normal subjects were analyzed by means of acustic rhinometry. They were aranged according to the age: Group I (6-7 year of age, children), Group II (13-14-year of age, puberty age), Group III (18-19 year of age, adolescent age), Group IV (23-24 year of age, young adults), Group V (over 30 year of age, adults). The AR was performed before and after nasal decongestion with 0.05% oxymethazoline nasal spray solution. The results of MCA were correlated to BSA, age, gender, height and weight. Results: The results of our investigation suggest that the value of BSA is the only relevant and statistically significant predictor for the value of MCA among anthropometric predictors (age, gender, height, weight). Conclusion: The problem is that the value of MCA is not a unique parametar for the entire population but rather a distinctive value for the particular subject (or smaller groups of subjects). The strong correlation between the values of BSA and MCA suggest that the expected value of MCA (eMCA) can be calculated for each subject based on their anthropometric data of body surface area using baseline value and the corrective factor.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti

POVEZANOST RADA