244 related articles for article (PubMed ID: 35992917)
1. Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea.
Yan X; Wang L; Liang C; Zhang H; Zhao Y; Zhang H; Yu H; Di J
Front Neurosci; 2022; 16():936946. PubMed ID: 35992917
[TBL] [Abstract][Full Text] [Related]
2. [Comparison of the NoSAS score with four different questionnaires as screening tools for obstructive sleep apnea-hypopnea syndrome].
Qing SM; Chen RK; Liu H; Zhang S; Kuang AL; Su XF; Liu CL; Zhang NF
Zhonghua Jie He He Hu Xi Za Zhi; 2018 Mar; 41(3):213-219. PubMed ID: 29518851
[No Abstract] [Full Text] [Related]
3. An effective model for screening moderate-to-severe obstructive sleep apnea based on the STOP-BANG questionnaire.
Wang Y; Zou J; Xu H; Jiang C; Yi H; Guan J; Yin S
J Thorac Dis; 2022 Aug; 14(8):3066-3074. PubMed ID: 36071765
[TBL] [Abstract][Full Text] [Related]
4. A Prediction Nomogram for Severe Obstructive Sleep Apnea in Snoring Patients: A Retrospective Study.
Teng G; Zhang R; Zhou J; Wang Y; Zhang N
Nat Sci Sleep; 2023; 15():231-243. PubMed ID: 37090896
[TBL] [Abstract][Full Text] [Related]
5. The Screening Value Of ESS, SACS, BQ, And SBQ On Obstructive Sleep Apnea In Patients With Chronic Obstructive Pulmonary Disease.
Xiong M; Hu W; Dong M; Wang M; Chen J; Xiong H; Zhong M; Jiang Y; Liu D; Hu K
Int J Chron Obstruct Pulmon Dis; 2019; 14():2497-2505. PubMed ID: 32009782
[TBL] [Abstract][Full Text] [Related]
6. A Nomogram for Predicting the Likelihood of Obstructive Sleep Apnea to Reduce the Unnecessary Polysomnography Examinations.
Luo M; Zheng HY; Zhang Y; Feng Y; Li DQ; Li XL; Han JF; Li TP
Chin Med J (Engl); 2015 Aug; 128(16):2134-40. PubMed ID: 26265604
[TBL] [Abstract][Full Text] [Related]
7. Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis.
Chiu HY; Chen PY; Chuang LP; Chen NH; Tu YK; Hsieh YJ; Wang YC; Guilleminault C
Sleep Med Rev; 2017 Dec; 36():57-70. PubMed ID: 27919588
[TBL] [Abstract][Full Text] [Related]
8. [Validation of NoSAS Score and Obstructive Sleep Apnea Hypopnea Syndrome Screening Model for Female Snorers in Females with Obstructive Sleep Apnea].
Huang L; Yu JL
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2019 Dec; 41(6):825-831. PubMed ID: 31907135
[No Abstract] [Full Text] [Related]
9. The No-apnea score
Chen R; Liu W; Cheng J; Zheng Z; Ba M; Peng M; He Q; Yang H; Chen T; Hong C
J Thorac Dis; 2019 Oct; 11(10):4179-4187. PubMed ID: 31737301
[TBL] [Abstract][Full Text] [Related]
10. Validation of NoSAS (Neck, Obesity, Snoring, Age, Sex) score as a screening tool for obstructive sleep apnea: Analysis in a sleep clinic.
Coutinho Costa J; Rebelo-Marques A; Machado JN; Gama JMR; Santos C; Teixeira F; Moita J
Pulmonology; 2019; 25(5):263-270. PubMed ID: 31196834
[TBL] [Abstract][Full Text] [Related]
11. STOP-Bang and NoSAS questionnaires as a screening tool for OSA: which one is the best choice?
Costa JC; Rebelo-Marques A; Machado JPN; Valentim BMF; Ferreira CSAV; Gonçalves JDO; Gama JMDR; Teixeira MFL; Moita JJM
Rev Assoc Med Bras (1992); 2020 Sep; 66(9):1203-1209. PubMed ID: 33027446
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea Severity in Children.
Liu Y; Xie SQ; Yang X; Chen JL; Zhou JR
Nat Sci Sleep; 2024; 16():193-206. PubMed ID: 38410525
[TBL] [Abstract][Full Text] [Related]
13. Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Bariatric Surgery Candidates.
Chen W; Feng J; Wang Y; Wang C; Dong Z;
Nat Sci Sleep; 2021; 13():1013-1023. PubMed ID: 34234604
[TBL] [Abstract][Full Text] [Related]
14. Development and application of a machine learning-based predictive model for obstructive sleep apnea screening.
Liu K; Geng S; Shen P; Zhao L; Zhou P; Liu W
Front Big Data; 2024; 7():1353469. PubMed ID: 38817683
[TBL] [Abstract][Full Text] [Related]
15. Screening for obstructive sleep apnea syndrome in asthma patients: a prospective study based on Berlin and STOP-Bang questionnaires.
Lu H; Fu C; Li W; Jiang H; Wu X; Li S
J Thorac Dis; 2017 Jul; 9(7):1945-1958. PubMed ID: 28839993
[TBL] [Abstract][Full Text] [Related]
16. [The accuracy of STOP-Bang questionnaire in the screening of patients with obstructive sleep apnea].
Li Z; Tang XD
Zhonghua Yi Xue Za Zhi; 2020 Apr; 100(14):1057-1062. PubMed ID: 32294866
[No Abstract] [Full Text] [Related]
17. Effect of arterial blood bicarbonate (HCO
Pei C; Gui S
BMC Pulm Med; 2021 Nov; 21(1):366. PubMed ID: 34774046
[TBL] [Abstract][Full Text] [Related]
18. A Novel Clinical Tool to Detect Severe Obstructive Sleep Apnea.
Ye Y; Yan ZL; Huang Y; Li L; Wang S; Huang X; Zhou J; Chen L; Ou CQ; Chen H
Nat Sci Sleep; 2023; 15():839-850. PubMed ID: 37869520
[TBL] [Abstract][Full Text] [Related]
19. Validation of Bahasa Malaysia STOP-BANG questionnaire for identification of obstructive sleep apnea.
Abdullah B; Idris AI; Mohammad ZW; Mohamad H
Sleep Breath; 2018 Dec; 22(4):1235-1239. PubMed ID: 29682698
[TBL] [Abstract][Full Text] [Related]
20. Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Patients with Pulmonary Arterial Hypertension.
Hu M; Duan A; Huang Z; Zhao Z; Zhao Q; Yan L; Zhang Y; Li X; Jin Q; An C; Luo Q; Liu Z
Nat Sci Sleep; 2022; 14():1375-1386. PubMed ID: 35971464
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
