Naslov
Correlation between the minimal cross-sectional area and body surface area in normal population

Autori
Jurlina, M. ; Mladina, R. ; Prstačić, R. ; Dawidowsky, K. ; Pukšec M.

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
10 th Danube Symposium, International Otorhinolaryngologic Congress / Srećko Branica - Zagreb, 2002

Skup
10 th Danube Symposium, International Otorhinolaryngologic Congress

Mjesto i datum
Cavtat, Hrvatska; Dubrovnik, Hrvatska, 16.10.2002. - 19.10.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
acoustic rhinometry; cross sectional area; body surface area; correlation
(rhinometry; Cross sectional area; Body surface area; correlation)

Sažetak
Aim of the study: The absence of normal, expected values of the minimal cross sectional area (MCA) in normal (healthly) population seems to be the biggest obstacle towards further development of the acoustic rhinometry. The authors believe that the values of the MCA can and must be standardized in a simple way, i.e. they need a corrective factor. Rubner discovered over a hundred years ago that the energy waste, oxygen consumption, respiratory volume and minute heart volume in all animals with the constant body temperature are in a linear proportion to their average body surface area (BSA). The aim of this study is to investigate possible correlation between MCA and BSA in normal population. Material and methods: Overall 220 normal subjects were analyzed by means of acoustic rhinometry. They were ranged 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) and group V (over 30 year of age, adults). The acoustic rhinometry was performed before and after nasal denongestion with 0.05% oxymethazoline nasal spray solution. The results of the 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). Conclusions: Strong correlation between the values of BSA and MCA suggests that the expected value of the 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

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