Large telemonitoring databases: the good, the bad, and the useful

Affiliations

Comment

Timothy I Morgenthaler. J Clin Sleep Med. 2021.

. 2021 Dec 1;17(12):2349-2350.

doi: 10.5664/jcsm.9718.

No abstract available

Conflict of interest statement

The author has seen and approved the final manuscript and reports no conflicts of interest.

Characterizing respiratory parameters, settings, and adherence in real-world patients using adaptive servo ventilation therapy: big data analysis.
Malhotra A, Benjafield AV, Cistulli PA, Li J, Woehrle H, Armitstead J, Sterling KL, Nunez CM, Pépin JL; medXcloud group. Malhotra A, et al. J Clin Sleep Med. 2021 Dec 1;17(12):2355-2362. doi: 10.5664/jcsm.9430. J Clin Sleep Med. 2021. PMID: 34170238 Free PMC article.

1. Malhotra A, Benjafield AV, Cistulli PA, et al. . Characterizing respiratory parameters, settings and adherence in real-world patients using adaptive servo ventilation therapy: big data analysis . J Clin Sleep Med. 2021. ; 17 ( 12 ): 2355 – 2362 . - PMC - PubMed
1. Cistulli PA, Armitstead J, Pepin J-L, et al. . Short-term CPAP adherence in obstructive sleep apnea: a big data analysis using real world data . Sleep Med. 2019. ; 59 : 114 – 116 . - PMC - PubMed
1. Pépin J-LD, Woehrle H, Liu D, et al. . Adherence to positive airway therapy after switching from CPAP to ASV: a big data analysis . J Clin Sleep Med. 2018. ; 14 ( 1 ): 57 – 63 . - PMC - PubMed
1. Cowie MR, Woehrle H, Wegscheider K, et al. . Adaptive servo-ventilation for central sleep apnea in systolic heart failure . N Engl J Med. 2015. ; 373 ( 12 ): 1095 – 1105 . - PMC - PubMed
1. Javaheri S, Brown LK, Randerath W, Khayat R . SERVE-HF: more questions than answers . Chest. 2016. ; 149 ( 4 ): 900 – 904 . - PubMed