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Clinical value of the HATCH score for predicting adverse outcomes in patients with heart failure

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Abstract

The HATCH score is employed as a risk assessment tool for atrial fibrillation (AF) development. However, the impact of the HATCH score on the long-term adverse outcomes in patients with acute heart failure (AHF) remains unknown. We investigated the clinical value of the HATCH score in patients with AHF. From a multicenter AHF registry, we retrospectively evaluated 1543 consecutive patients who required hospitalization owing to AHF (median age, 78 [69–85] years; 42.3% women) from January 2012 to December 2019. These patients were divided into five risk groups based on their HATCH score at admission (scores 0, 1, 2, 3, and 4–7). The correlation between the HATCH score and the composite outcome, including all-cause mortality and re-hospitalization due to HF, was analyzed using Kaplan–Meier and Cox proportional-hazard analyses. The median HATCH score was 2 [1–3], and the median age was 78 years (69–85 years). During the follow-up period (median, 16.8 months), the composite endpoint occurred in 691 patients (44.8%), including 416 (27%) patients who died (with 65 [4.2%] in-hospitalization deaths) and 455 (29.5%) patients requiring re-hospitalizations due to HF. The Kaplan–Meier analysis showed a significant increase in the composite endpoint with an increasing HATCH score (log-rank, p < 0.001). The multivariate Cox regression model revealed that the HATCH score was an independent predictor of the composite endpoint (hazard ratio [HR] 1.181; 95% confidence interval [CI]: 1.111–1.255; p < 0.001) with all-cause mortality (HR 1.153, 95% CI 1.065–1.249; p < 0.001) and re-hospitalizations due to HF (HR 1.21; 95% CI 1.124–1.303; p < 0.001) in patients with AHF, regardless of the presence or absence of AF, ejection fraction, and etiology. The HATCH score is an independent predictor of adverse outcomes in patients with AHF.

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References

  1. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, Falk V, Gonzalez-Juanatey JR, Harjola VP, Jankowska EA, Jessup M, Linde C, Nihoyannopoulos P, Parissis JT, Pieske B, Riley JP, Rosano GMC, Ruilope LM, Ruschitzka F, Rutten FH, van der Meer P; ESC Scientific Doccument Group (2016) 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J 37(27):2129–2200

    Article  Google Scholar 

  2. Tsutsui H, Isobe M, Ito H, Ito H, Okumura K, Ono M, Kitakaze M, Kinugawa K, Kihara Y, Goto Y, Komuro I, Saiki Y, Saito Y, Sakata Y, Sato N, Sawa Y, Shiose A, Shimizu W, Shimokawa H, Seino Y, Node K, Higo T, Hirayama A, Makaya M, Masuyama T, Murohara T, Momomura SI, Yano M, Yamazaki K, Yamamoto K, Yoshikawa T, Yoshimura M, Akiyama M, Anzai T, Ishihara S, Inomata T, Imamura T, Iwasaki YK, Ohtani T, Onishi K, Kasai T, Kato M, Kawai M, Kinugasa Y, Kinugawa S, Kuratani T, Kobayashi S, Sakata Y, Tanaka A, Toda K, Noda T, Nochioka K, Hatano M, Hidaka T, Fujino T, Makita S, Yamaguchi O, Ikeda U, Kimura T, Kohsaka S, Kosuge M, Yamagishi M, Yamashina A (2019) JCS 2017/JHFS 2017 guideline on diagnosis and treatment of acute and chronic heart failure—digest version. Circ J 83(10):2084–2184

    Article  PubMed  Google Scholar 

  3. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Colvin MM, Drazner MH, Filippatos GS, Fonarow GC, Givertz MM, Hollenberg SM, Lindenfeld J, Masoudi FA, McBride PE, Peterson PN, Stevenson LW, Westlake C (2017) 2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure: a report of the American college of cardiology/American Heart Association task force on clinical practice guidelines and the heart failure society of America. Circulation 136(6):e137–e161

    Article  PubMed  Google Scholar 

  4. Shiraishi Y, Kohsaka S, Sato N, Takano T, Kitai T, Yoshikawa T, Matsue Y (2018) 9-Year trend in the management of acute heart failure in Japan: a report from the National Consortium of Acute Heart Failure Registries. J Am Heart Assoc 7(18):e008687

  5. Pocock SJ, Wang D, Pfeffer MA, Yusuf S, McMurray JJ, Swedberg KB, Ostergren J, Michelson EL, Pieper KS, Granger CB (2006) Predictors of mortality and morbidity in patients with chronic heart failure. Eur Heart J 27(1):65–75

    Article  PubMed  Google Scholar 

  6. Lee DS, Austin PC, Rouleau JL, Liu PP, Naimark D, Tu JV (2003) Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model. JAMA 290(19):2581–2587

    Article  CAS  PubMed  Google Scholar 

  7. Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, Pitt B, Poole-Wilson PA, Mann DL, Packer M (2006) The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation 113(11):1424–1433

    Article  PubMed  Google Scholar 

  8. O’Connor CM, Abraham WT, Albert NM, Clare R, Gattis Stough W, Gheorghiade M, Greenberg BH, Yancy CW, Young JB, Fonarow GC (2008) Predictors of mortality after discharge in patients hospitalized with heart failure: an analysis from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF). Am Heart J 156(4):662–673

    Article  PubMed  Google Scholar 

  9. O’Connor CM, Hasselblad V, Mehta RH, Tasissa G, Califf RM, Fiuzat M, Rogers JG, Leier CV, Stevenson LW (2010) Triage after hospitalization with advanced heart failure: the ESCAPE (Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness) risk model and discharge score. J Am Coll Cardiol 55(9):872–878

    Article  PubMed  Google Scholar 

  10. Passantino A, Monitillo F, Iacoviello M, Scrutinio D (2015) Predicting mortality in patients with acute heart failure: role of risk scores. World J Cardiol 7(12):902–911

    Article  PubMed  PubMed Central  Google Scholar 

  11. Pocock SJ, Ariti CA, McMurray JJ, Maggioni A, Køber L, Squire IB, Swedberg K, Dobson J, Poppe KK, Whalley GA, Doughty RN (2013) Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J 34(19):1404–1413

    Article  PubMed  Google Scholar 

  12. Rich JD, Burns J, Freed BH, Maurer MS, Burkhoff D, Shah SJ (2018) Meta-analysis global group in chronic (MAGGIC) heart failure risk score: validation of a simple tool for the prediction of morbidity and mortality in heart failure with preserved ejection fraction. J Am Heart Assoc 7(20):e009594

  13. Shibata N, Kondo T, Kazama S, Kimura Y, Oishi H, Arao Y, Kato H, Yamaguchi S, Kuwayama T, Hiraiwa H, Morimoto R, Okumura T, Sumi T, Sawamura A, Shimizu K, Murohara T (2020) Impact of predictive value of Fibrosis-4 index in patients hospitalized for acute heart failure. Int J Cardiol 324:90–95

    Article  PubMed  Google Scholar 

  14. Yoshihisa A, Watanabe S, Kanno Y, Takiguchi M, Sato A, Yokokawa T, Miura S, Shimizu T, Abe S, Sato T, Suzuki S, Oikawa M, Sakamoto N, Yamaki T, Sugimoto K, Kunii H, Nakazato K, Suzuki H, Saitoh SI, Takeishi Y (2016) The CHA(2)DS(2)-VASc score as a predictor of high mortality in hospitalized heart failure patients. ESC Heart Fail 3(4):261–269

    Article  PubMed  PubMed Central  Google Scholar 

  15. de Vos CB, Pisters R, Nieuwlaat R, Prins MH, Tieleman RG, Coelen RJ, van den Heijkant AC, Allessie MA, Crijns HJ (2010) Progression from paroxysmal to persistent atrial fibrillation clinical correlates and prognosis. J Am Coll Cardiol 55(8):725–731

    Article  PubMed  Google Scholar 

  16. Chen K, Bai R, Deng W, Gao C, Zhang J, Wang X, Wang S, Fu H, Zhao Y, Zhang J, Dong J, Ma C (2015) HATCH score in the prediction of new-onset atrial fibrillation after catheter ablation of typical atrial flutter. Heart Rhythm 12(7):1483–1489

    Article  PubMed  Google Scholar 

  17. Emren SV, Kocabaş U, Duygu H, Levent F, Şimşek E, Yapan Emren Z, Tülüce S (2016) The role of HATCH score in predicting the success rate of sinus rhythm following electrical cardioversion of atrial fibrillation. Kardiol Pol 74(9):978–984

    Article  PubMed  Google Scholar 

  18. Hu WS, Lin CL (2017) Comparison of CHA(2)DS(2)-VASc, CHADS(2) and HATCH scores for the prediction of new-onset atrial fibrillation in cancer patients: a nationwide cohort study of 760,339 study participants with competing risk analysis. Atherosclerosis 266:205–211

    Article  CAS  PubMed  Google Scholar 

  19. Suenari K, Chao TF, Liu CJ, Kihara Y, Chen TJ, Chen SA (2017) Usefulness of HATCH score in the prediction of new-onset atrial fibrillation for Asians. Medicine (Baltimore) 96(1):e5597

  20. Engin M, Aydın C (2020) Investigation of the effect of HATCH score and coronary artery disease complexity on atrial fibrillation after on-pump coronary artery bypass graft surgery. Med Princ Pract 30(1):45–51

    Article  PubMed  PubMed Central  Google Scholar 

  21. Jahangir A, Murarka S (2010) Progression of paroxysmal to persistent atrial fibrillation factors promoting the HATCH score. J Am Coll Cardiol 55(8):732–734

    Article  PubMed  Google Scholar 

  22. Koeda Y, Komatsu T, Matsuura Y, Morioka H, Uchimura Y, Taguchi Y, Tanaka K, Kawakami J, Nakamura M, Takahashi S, Takahashi Y, Naganuma Y, Endo H, Ito T, Morino Y, Nakamura M (2017) CHADS(2) and modified CHA(2)DS(2)-VASc scores for the prediction of congestive heart failure in patients with nonvalvular atrial fibrillation. J Arrhythm 33(5):488–493

    Article  PubMed  PubMed Central  Google Scholar 

  23. Melgaard L, Gorst-Rasmussen A, Lane DA, Rasmussen LH, Larsen TB, Lip GY (2015) Assessment of the CHA2DS2-VASc score in predicting ischemic stroke, thromboembolism, and death in patients with heart failure with and without atrial fibrillation. JAMA 314(10):1030–1038

    Article  PubMed  Google Scholar 

  24. Bettencourt P, Rodrigues P, Moreira H, Marques P, Lourenco P (2017) Long-term prognosis after acute heart failure: a differential impact of age in different age strata. J Cardiovasc Med (Hagerstown) 18(11):845–850

    Article  Google Scholar 

  25. Levy D, Larson MG, Vasan RS, Kannel WB, Ho KK (1996) The progression from hypertension to congestive heart failure. JAMA 275(20):1557–1562

    Article  CAS  PubMed  Google Scholar 

  26. Setoguchi S, Stevenson LW, Schneeweiss S (2007) Repeated hospitalizations predict mortality in the community population with heart failure. Am Heart J 154(2):260–266

    Article  PubMed  Google Scholar 

  27. Xu S, Ye Z, Ma J, Yuan T (2020) The impact of chronic obstructive pulmonary disease on hospitalization and mortality in patients with heart failure. Eur J Clin Invest 51(1):e13402

  28. McKee PA, Castelli WP, McNamara PM, Kannel WB (1971) The natural history of congestive heart failure: the Framingham study. N Engl J Med 285(26):1441–1446

    Article  CAS  PubMed  Google Scholar 

  29. Schmidt EU, Schneider R, Lauschke J, Wendig I, Bänsch D (2014) The HATCH and CHA2DS 2-VASc scores. Prognostic value in pulmonary vein isolation. Herz 39(3):343–348

  30. Zoghbi WA, Adams D, Bonow RO, Enriquez-Sarano M, Foster E, Grayburn PA, Hahn RT, Han Y, Hung J, Lang RM, Little SH, Shah DJ, Shernan S, Thavendiranathan P, Thomas JD, Weissman NJ (2017) Recommendations for noninvasive evaluation of native valvular regurgitation: a report from the American society of echocardiography developed in collaboration with the society for cardiovascular magnetic resonance. J Am Soc Echocardiogr 30(4):303–371

    Article  PubMed  Google Scholar 

  31. Umemura S, Arima H, Arima S, Asayama K, Dohi Y, Hirooka Y, Horio T, Hoshide S, Ikeda S, Ishimitsu T, Ito M, Ito S, Iwashima Y, Kai H, Kamide K, Kanno Y, Kashihara N, Kawano Y, Kikuchi T, Kitamura K, Kitazono T, Kohara K, Kudo M, Kumagai H, Matsumura K, Matsuura H, Miura K, Mukoyama M, Nakamura S, Ohkubo T, Ohya Y, Okura T, Rakugi H, Saitoh S, Shibata H, Shimosawa T, Suzuki H, Takahashi S, Tamura K, Tomiyama H, Tsuchihashi T, Ueda S, Uehara Y, Urata H, Hirawa N (2019) The Japanese society of hypertension guidelines for the management of hypertension (JSH 2019). Hypertens Res 42(9):1235–1481

    Article  PubMed  Google Scholar 

  32. Bui AL, Horwich TB, Fonarow GC (2011) Epidemiology and risk profile of heart failure. Nat Rev Cardiol 8(1):30–41

    Article  PubMed  Google Scholar 

  33. Hawkins NM, Petrie MC, Jhund PS, Chalmers GW, Dunn FG, McMurray JJ (2009) Heart failure and chronic obstructive pulmonary disease: diagnostic pitfalls and epidemiology. Eur J Heart Fail 11(2):130–139

    Article  PubMed  PubMed Central  Google Scholar 

  34. de Miguel DJ, Chancafe Morgan J, Jiménez García R (2013) The association between COPD and heart failure risk: a review. Int J Chron Obstruct Pulmon Dis 8:305–312

    Google Scholar 

  35. Appelros P, Nydevik I, Viitanen M (2003) Poor outcome after first-ever stroke: predictors for death, dependency, and recurrent stroke within the first year. Stroke 34(1):122–126

    Article  PubMed  Google Scholar 

  36. Haeusler KG, Laufs U, Endres M (2011) Chronic heart failure and ischemic stroke. Stroke 42(10):2977–2982

    Article  PubMed  Google Scholar 

  37. Divani AA, Vazquez G, Asadollahi M, Qureshi AI, Pullicino P (2009) Nationwide frequency and association of heart failure on stroke outcomes in the United States. J Card Fail 15(1):11–16

    Article  PubMed  Google Scholar 

  38. Butler J, Chirovsky D, Phatak H, McNeill A, Cody R (2010) Renal function, health outcomes, and resource utilization in acute heart failure: a systematic review. Circ Heart Fail 3(6):726–745

    Article  PubMed  Google Scholar 

  39. Shirakabe A, Hata N, Kobayashi N, Okazaki H, Matsushita M, Shibata Y, Nishigoori S, Uchiyama S, Asai K, Shimizu W (2018) Prognostic benefit of maintaining the hemoglobin level during the acute phase in patients with severely decompensated acute heart failure. Heart Vessels 33(3):264–278

    Article  PubMed  Google Scholar 

  40. Umehara T, Katayama N, Tsunematsu M, Kakehashi M (2020) Factors affecting hospital readmission heart failure patients in Japan: a multicenter retrospective cohort study. Heart Vessels 35(3):367–375

    Article  PubMed  Google Scholar 

  41. Kunadian V, Mehran R, Lincoff AM, Feit F, Manoukian SV, Hamon M, Cox DA, Dangas GD, Stone GW (2014) Effect of anemia on frequency of short- and long-term clinical events in acute coronary syndromes (from the Acute Catheterization and Urgent Intervention Triage Strategy Trial). Am J Cardiol 114(12):1823–1829

    Article  PubMed  Google Scholar 

  42. Chen YL, Cheng CL, Huang JL, Yang NI, Chang HC, Chang KC, Sung SH, Shyu KG, Wang CC, Yin WH, Lin JL, Chen SM (2017) Mortality prediction using CHADS2/CHA2DS2-VASc/R2CHADS2 scores in systolic heart failure patients with or without atrial fibrillation. Medicine (Baltimore) 96(43):e8338

  43. Paoletti Perini A, Bartolini S, Pieragnoli P, Ricciardi G, Perrotta L, Valleggi A, Vergaro G, Michelotti F, Boggian G, Sassone B, Mascioli G, Emdin M, Padeletti L (2014) CHADS2 and CHA2DS2-VASc scores to predict morbidity and mortality in heart failure patients candidates to cardiac resynchronization therapy. Europace 16(1):71–80

    Article  PubMed  Google Scholar 

  44. Boudina S, Abel ED (2007) Diabetic cardiomyopathy revisited. Circulation 115(25):3213–3223

    Article  PubMed  Google Scholar 

  45. Targher G, Dauriz M, Tavazzi L, Temporelli PL, Lucci D, Urso R, Lecchi G, Bellanti G, Merlo M, Rossi A, Maggioni AP (2016) Prognostic impact of in-hospital hyperglycemia in hospitalized patients with acute heart failure: results of the IN-HF (Italian Network on Heart Failure) Outcome registry. Int J Cardiol 203:587–593

    Article  PubMed  Google Scholar 

  46. Onishi K (2017) Total management of chronic obstructive pulmonary disease (COPD) as an independent risk factor for cardiovascular disease. J Cardiol 70(2):128–134

    Article  PubMed  Google Scholar 

  47. Takabayashi K, Terasaki Y, Okuda M, Nakajima O, Koito H, Kitamura T, Kitaguchi S, Nohara R (2020) The clinical characteristics and outcomes of heart failure patient with chronic obstructive pulmonary disease from the Japanese community-based registry. Heart Vessels 36(2):223–234

    Article  PubMed  Google Scholar 

  48. He J, Ogden LG, Bazzano LA, Vupputuri S, Loria C, Whelton PK (2001) Risk factors for congestive heart failure in US men and women: NHANES I epidemiologic follow-up study. Arch Intern Med 161(7):996–1002

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan

    Naoki Shibata, Toru Kondo, Ryota Morimoto, Shingo Kazama, Tasuku Kuwayama, Hiroaki Hiraiwa, Takahiro Okumura & Toyoaki Murohara

  2. Department of Cardiology, Ichinomiya Municipal Hospital, Ichinomiya, Japan

    Akinori Sawamura, Norio Umemoto & Toru Asai

  3. Department of Cardiology, Nagoya Ekisaikai Hospital, Nagoya, Japan

    Itsumure Nishiyama & Toshiaki Kato

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  1. Naoki Shibata
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Conflict of interest

TO has received research grants from Ono Pharmaceutical Co., Ltd., Bayer Pharmaceutical Co., Ltd., Daiichi-Sankyo Pharma Inc., and Amgen Astellas BioPharma K.K. outside the submitted work. TO received honorariums from Ono Pharmaceutical Co., Ltd., Otsuka Pharmaceutical Co., Ltd., Novartis Pharma K. K., and Medtronic Japan Co., Ltd. TM received lecture fees from Bayel Pharmaceutical Co., Ltd., Daiichi-Sankyo Co., Ltd., Dainippon Sumitomo Pharma Co., Ltd., Kowa Co., Ltd., MSD K. K., Mitsubishi Tanabe Pharma Co., Nippon Boehringer Ingelheim Co., Ltd., Novartis Pharma K. K., Pfizer Japan Inc., Sanofi-Aventis K. K., and Takeda Pharmaceutical Co., Ltd. TM received unrestricted research grant for Department of Cardiology, Nagoya University Graduate School of Medicine from Astellas Pharma Inc., Daiichi-Sankyo Co., Ltd., Dainippon Sumitomo Pharma Co., Ltd., Kowa Co., Ltd., MSD K. K., Mitsubishi Tanabe Pharma Co., Nippon Boehringer Ingelheim Co., Ltd., Novartis Pharma K. K., Otsuka Pharma Ltd., Pfizer Japan Inc., Sanofi-Aventis K. K., Takeda Pharmaceutical Co., Ltd., and Teijin Pharma Ltd. The remaining authors have no conflicts of interest relevant to this article to disclose.

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Shibata, N., Kondo, T., Morimoto, R. et al. Clinical value of the HATCH score for predicting adverse outcomes in patients with heart failure. Heart Vessels 37, 1363–1372 (2022). https://doi.org/10.1007/s00380-022-02035-w

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