Diagnostic Accuracy of ECG to Detect Left Ventricular Hypertrophy in Patients with Left Bundle Branch Block A Systematic Review and Meta-analysis

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article
Data de publicação
2023
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ELSEVIER
Autores
SOUZA, Isabela A. F. de
PADRAO, Eduardo M. H.
MARQUES, Isabela R.
MIYAWAKI, Isabele A.
LOYOLA JUNIOR, Jose Eduardo Riceto
MOREIRA, Vittoria Caporal S.
GOMES, Cintia
SILVA, Caroliny H. A.
OPRYSKO, Carson
NETO, Augusto Barreto do Amaral
Citação
CJC OPEN, v.5, n.12, p.971-980, 2023
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Resumo
Background: Electrocardiographic (ECG) criteria to detect left ventricular hypertrophy (LVH) in patients with left bundle branch block (LBBB) remain under debate. We conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of different ECG criteria for diagnosing LVH in patients with LBBB.Methods: We searched PubMed, Embase, Cochrane, and LILACS for articles evaluating the diagnostic accuracy of ECG criteria for LVH in patients with LBBB published between 1984 and 2023. Echocardiogram, magnetic resonance imaging, or autopsy were used as the reference standard for diagnosis of LVH. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. The co-primary outcomes were sensitivity, specificity, the diagnostic odds ratio, and likelihood ratios, estimated using a bivariate generalized linear mixed model for each ECG criterion. The prespecified protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO).Results: We included 12 studies with a total of 1023 patients. We analyzed 10 criteria for LVH on ECG, including the Sokolow-Lyon criterion, the Cornell criterion, the RaVL (R wave in aVL) criterion, the Gubner-Ungerleider criterion, and the Dalfo criterion, among others. The Dalfo criterion was used for 487 patients and had the highest pooled sensitivity of 86% (95% confidence interval [CI] 57%-97%). All the other criteria had poor sensitivities. The Gubner-Ungerleider criterion and the RV5 or RV6 > 25 mm criterion had the highest specificities, with the former being used for 805 patients, obtaining a specificity of 99% (95% CI 80%-100%) and the latter being used for 355 patients, obtaining a specificity of 99% (95% CI 94%-100%). Conclusions: In patients with LBBB, the use of ECG criteria had poor performance for ruling out LVH, mostly due to low sensitivities. None of the criteria analyzed demonstrated a balanced tradeoff between sensitivity and specificity, suggesting that ECG should not be used routinely to screen for LVH.
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Referências
  1. [Anonymous], 2021, LANCET HEALTH LONGEV, V2, pE180, DOI 10.1016/S2666-7568(21)00064-7
  2. Aro AL, 2016, CIRC-ARRHYTHMIA ELEC, V9, DOI 10.1161/CIRCEP.115.003629
  3. Ascher SB, 2022, J AM COLL CARDIOL, V80, P1516, DOI 10.1016/j.jacc.2022.08.735
  4. Baranowski R, 2012, CARDIOL J, V19, P591, DOI 10.5603/CJ.2012.0110
  5. Christensen K, 2009, LANCET, V374, P1196, DOI 10.1016/S0140-6736(09)61460-4
  6. Chu HT, 2006, J CLIN EPIDEMIOL, V59, P1331, DOI 10.1016/j.jclinepi.2006.06.011
  7. Cuspidi C, 2019, HYPERTENSION, V73, P612, DOI 10.1161/HYPERTENSIONAHA.118.12114
  8. de Souza IAF, The role of ECG for detecting left ventricular hypertrophy in patients with left bundle branch block: a systematic review and meta-analysis of diagnostic test accuracy
  9. Eriksson P, 1998, CIRCULATION, V98, P2494, DOI 10.1161/01.CIR.98.22.2494
  10. Fitzgerald M, 2015, JAMA-J AM MED ASSOC, V313, P409, DOI 10.1001/jama.2015.37
  11. FRAGOLA PV, 1990, INT J CARDIOL, V28, P215, DOI 10.1016/0167-5273(90)90063-B
  12. Gonzales H, 2020, JACC-CARDIOVASC INTE, V13, P1329, DOI 10.1016/j.jcin.2020.03.011
  13. Haider AW, 1998, J AM COLL CARDIOL, V32, P1454, DOI 10.1016/S0735-1097(98)00407-0
  14. Hancock EW, 2009, J AM COLL CARDIOL, V53, P992, DOI 10.1016/j.jacc.2008.12.015
  15. Harbord RM, 2007, BIOSTATISTICS, V8, P239, DOI 10.1093/biostatistics/kxl004
  16. HASKELL RJ, 1987, J ELECTROCARDIOL, V20, P227, DOI 10.1016/S0022-0736(87)80020-1
  17. HAVELDA CJ, 1982, CIRCULATION, V65, P445, DOI 10.1161/01.CIR.65.3.445
  18. KAFKA H, 1985, AM J CARDIOL, V55, P103, DOI 10.1016/0002-9149(85)90308-X
  19. KLEIN RC, 1984, AM HEART J, V108, P502, DOI 10.1016/0002-8703(84)90415-0
  20. Kühl JT, 2019, J HYPERTENS, V37, P739, DOI 10.1097/HJH.0000000000001962
  21. Kusumoto FM, 2019, J AM COLL CARDIOL, V74, P932, DOI 10.1016/j.jacc.2018.10.043
  22. Leeflang MMG, 2013, SYST REV, V2, DOI 10.1186/2046-4053-2-82
  23. Lépori AJ, 2015, CARDIOL J, V22, P397, DOI 10.5603/CJ.a2015.0005
  24. Lorell BH, 2000, CIRCULATION, V102, P470
  25. Maceira AM, 2006, J CARDIOVASC MAGN R, V8, P417, DOI 10.1080/10976640600572889
  26. Burgos PFM, 2017, ARQ BRAS CARDIOL, V108, P47
  27. Marwick TH, 2015, J AM SOC ECHOCARDIOG, V28, P727, DOI 10.1016/j.echo.2015.05.002
  28. Tavares CAM, 2021, BMC CARDIOVASC DISOR, V21, DOI 10.1186/s12872-021-02332-8
  29. NOBLE LM, 1984, J ELECTROCARDIOL, V17, P157, DOI 10.1016/S0022-0736(84)81090-0
  30. North BJ, 2012, CIRC RES, V110, P1097, DOI 10.1161/CIRCRESAHA.111.246876
  31. Okin PM, 2006, JAMA-J AM MED ASSOC, V296, P1242, DOI 10.1001/jama.296.10.1242
  32. Okin PM, 2004, JAMA-J AM MED ASSOC, V292, P2343, DOI 10.1001/jama.292.19.2343
  33. Oseni AO, 2017, HEART, V103, P49, DOI 10.1136/heartjnl-2016-309516
  34. Patel A, 2021, RES SYNTH METHODS, V12, P34, DOI 10.1002/jrsm.1439
  35. Pewsner D, 2004, BMJ-BRIT MED J, V329, P209, DOI 10.1136/bmj.329.7459.209
  36. R Core Team, The R project for statistical computing
  37. Rodríguez-Padial L, 2012, REV ESP CARDIOL, V65, P38, DOI [10.1016/j.recesp.2011.07.018, 10.1016/j.rec.2011.07.017]
  38. ROHATGI R, 1993, INT J CARDIOL, V39, P147, DOI 10.1016/0167-5273(93)90026-D
  39. Salameh JP, 2020, BMJ-BRIT MED J, V370, DOI 10.1136/bmj.m2632
  40. Stein EJ, 2022, J AM HEART ASSOC, V11, DOI 10.1161/JAHA.121.023466
  41. Strauss DG, 2011, AM J CARDIOL, V107, P927, DOI 10.1016/j.amjcard.2010.11.010
  42. Sundström J, 2001, CIRCULATION, V103, P2346
  43. Tan NHY, 2020, CIRC-ARRHYTHMIA ELEC, V13, DOI 10.1161/CIRCEP.119.008239
  44. Usher-Smith JA, 2016, BMJ-BRIT MED J, V353, DOI 10.1136/bmj.i3139
  45. van Enst WA, 2014, BMC MED RES METHODOL, V14, DOI 10.1186/1471-2288-14-70
  46. Vickers AJ, 2006, MED DECIS MAKING, V26, P565, DOI 10.1177/0272989X06295361
  47. Vickers Andrew J, 2019, Diagn Progn Res, V3, P18, DOI 10.1186/s41512-019-0064-7
  48. Whelton PK, 2018, HYPERTENSION, V71, P1269, DOI 10.1161/HYP.0000000000000066
  49. Whiting PF, 2011, ANN INTERN MED, V155, P529, DOI 10.7326/0003-4819-155-8-201110180-00009
  50. Williams B, 2018, EUR HEART J, V39, P3021, DOI 10.1093/eurheartj/ehy339
  51. Yu ZY, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0246305