scholarly journals FACTORS AFFECTING LUNG TO FINGER CIRCULATION TIME MEASUREMENT FROM POLYSOMNOGRAPHY IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA IN SARAWAK GENERAL HOSPITAL, MALAYSIA

Respirology ◽  
2019 ◽  
Vol 24 (S2) ◽  
pp. 204-204
2014 ◽  
Vol 10 (07) ◽  
pp. 759-765 ◽  
Author(s):  
Younghoon Kwon ◽  
Talha Khan ◽  
Marc Pritzker ◽  
Conrad Iber

2004 ◽  
Vol 45 (3) ◽  
pp. 181-187 ◽  
Author(s):  
TSUNEYA NAKAJIMA ◽  
TAKASHI HAYAMA ◽  
TETSUSHI OHKUSHI ◽  
MARIKO NAGATOMO ◽  
TAKASHI OHKAWA ◽  
...  

2014 ◽  
Vol 67 (S1) ◽  
pp. 114-118 ◽  
Author(s):  
Sung Won Kim ◽  
Boo-Young Kim ◽  
Jung Ju Han ◽  
Jae Hyung Hwang ◽  
Kihwan Jung ◽  
...  

Author(s):  
Merve Ercelik ◽  
Ege Gulec Balbay ◽  
Pınar Yıldız Gulhan ◽  
Sengul Cangur ◽  
Peri Meram Arbak ◽  
...  

2017 ◽  
Vol 11 (6) ◽  
pp. 1045-1051 ◽  
Author(s):  
Soo A Kim ◽  
Brian B Koo ◽  
Do Eui Kim ◽  
Young Hwangbo ◽  
Kwang Ik Yang

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Maria Lowella F. De Leon ◽  
Nina R. Alibutod ◽  
Manuel Peter Paul C. Jorge II

Objectives. We determined the prevalence of patients at risk for obstructive sleep apnea (OSA) with uncontrolled type 2 diabetes mellitus (T2DM) at the out-patient department (OPD) of the University of the Philippines-Philippine General Hospital (UP-PGH) from December 1, 2018 - February 28, 2019. We described the demographic characteristics of patients with uncontrolled T2DM and compared them with high and low OSA risk, its association, and correlation with the quality of sleep. Methods. This is a prospective cross-sectional study among uncontrolled T2DM. The questionnaires were Berlin Questionnaire (screen OSA-HR) and Epworth Sleepiness Score (level of sleepiness). Clinicodemographic profile and significant laboratory data were obtained. Descriptive statistics utilized. Chi-square test was used to compare categorical variables between patients with high vs low OSA risk and to determine if an association exists between OSA-HR and sleep quality. Results. A total of 240 participants, 88 males and 151 females, were included in the study. The overall prevalence of OSA-HR among patients with uncontrolled type 2DM is 58.33%. The majority of the OSA–HR patients (105/140) was 46 years old and above. There is a significant association of tonsillar grade, Mallampati score, BMI, HbA1c, hypercholesterolonemia, and Epworth sleepiness on OSA High risk. There is also a substantial association with age, BMI, Mallampati score, tonsillar grade, hypertension, asthma, HbA1c, and hypercholesterelonemia on the level of sleepiness of OSA-HR. Conclusion. There is a high prevalence of high OSA-risk among patients with uncontrolled DM. Factors associated with high OSA-risk among uncontrolled diabetes mellitus include HbA1c, dyslipidemia, BMI, Mallampati score, tonsillar grade, and Epworth score.


2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Maria Lowella F. De Leon ◽  
Nina R. Alibutod ◽  
Manuel Peter Paul C. Jorge II

Objectives. We determined the prevalence of patients at risk for obstructive sleep apnea (OSA) with uncontrolled type 2 diabetes mellitus (T2DM) at the out-patient department (OPD) of the University of the Philippines-Philippine General Hospital (UP-PGH) from December 1, 2018 - February 28, 2019. We described the demographic characteristics of patients with uncontrolled T2DM and compared them with high and low OSA risk, its association, and correlation with the quality of sleep. Methods. This is a prospective cross-sectional study among uncontrolled T2DM. The questionnaires were Berlin Questionnaire (screen OSA-HR) and Epworth Sleepiness Score (level of sleepiness). Clinicodemographic profile and significant laboratory data were obtained. Descriptive statistics utilized. Chi-square test was used to compare categorical variables between patients with high vs low OSA risk and to determine if an association exists between OSA-HR and sleep quality. Results. A total of 240 participants, 88 males and 151 females, were included in the study. The overall prevalence of OSA-HR among patients with uncontrolled type 2DM is 58.33%. The majority of the OSA–HR patients (105 /140) was 46 years old and above. There is a significant association of tonsillar grade, Mallampati score, BMI, HbA1c, hypercholesterolonemia, and Epworth sleepiness on OSA High risk. There is also a substantial association with age, BMI, Mallampati score, tonsillar grade, hypertension, asthma, HbA1c, and hypercholesterelonemia on the level of sleepiness of OSA-HR. Conclusion. There is a high prevalence of high OSA-risk among patients with uncontrolled DM. Factors associated with high OSA-risk among uncontrolled diabetes mellitus include HbA1c, dyslipidemia, BMI, Mallampati score, tonsillar grade, and Epworth score.


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