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Usefulness of HATCH Score in the Prediction of New-onset Atrial Fibrillation for Asians

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Specialty General Medicine
Date 2017 Jan 11
PMID 28072697
Citations 34
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Abstract

The HATCH score (hypertension <1 point>, age >75 years <1 point>, stroke or transient ischemic attack <2 points>, chronic obstructive pulmonary disease <1 point>, and heart failure <2 points>) was reported to be useful for predicting the progression of atrial fibrillation (AF) from paroxysmal to persistent or permanent AF for patients who participated in the Euro Heart Survey. The goal of the current study was to investigate whether the HATCH score was a useful scheme in predicting new-onset AF. Furthermore, we aimed to use the HATCH scoring system to estimate the individual risk in developing AF for patients with different comorbidities. We used the "Taiwan National Health Insurance Research Database." From January 1, 2000, to December 31, 2001, a total of 670,804 patients older than 20 years old and who had no history of cardiac arrhythmias were enrolled. According to the calculation rule of the HATCH score, 599,780 (score 0), 46,661 (score 1), 12,892 (score 2), 7456 (score 3), 2944 (score 4), 802 (score 5), 202 (score 6), and 67 (score 7) patients were studied and followed for the new onset of AF. During a follow-up of 9.0 ± 2.2 years, there were 9174 (1.4%) patients experiencing new-onset AF. The incidence of AF was 1.5 per 1000 patient-years. The incidence increased from 0.8 per 1000 patient-years for patients with a HATCH score of 0 to 57.3 per 1000 patient-years for those with a HATCH score of 7. After an adjustment for the gender and comorbidities, the hazard ratio (95% confidence interval) of each increment of the HATCH score in predicting AF was 2.059 (2.027-2.093; P < 0.001). The HATCH score was useful in risk estimation and stratification of new-onset AF.

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References
1.
Cheng C, Kao Y, Lin S, Lee C, Lai M . Validation of the National Health Insurance Research Database with ischemic stroke cases in Taiwan. Pharmacoepidemiol Drug Saf. 2011; 20(3):236-42. DOI: 10.1002/pds.2087. View

2.
Chao T, Liu C, Chen S, Wang K, Lin Y, Chang S . CHADS2 score and risk of new-onset atrial fibrillation: a nationwide cohort study in Taiwan. Int J Cardiol. 2013; 168(2):1360-3. DOI: 10.1016/j.ijcard.2012.12.011. View

3.
Ryu J, Krowka M, Pellikka P, Swanson K, McGoon M . Pulmonary hypertension in patients with interstitial lung diseases. Mayo Clin Proc. 2007; 82(3):342-50. DOI: 10.4065/82.3.342. View

4.
Ball J, Carrington M, McMurray J, Stewart S . Atrial fibrillation: profile and burden of an evolving epidemic in the 21st century. Int J Cardiol. 2013; 167(5):1807-24. DOI: 10.1016/j.ijcard.2012.12.093. View

5.
Lin Y, Suenari K, Lo M, Lin C, Hsieh W, Chang S . Novel assessment of temporal variation in fractionated electrograms using histogram analysis of local fractionation interval in patients with persistent atrial fibrillation. Circ Arrhythm Electrophysiol. 2012; 5(5):949-56. DOI: 10.1161/CIRCEP.111.967612. View