Adaptive servo ventilation for central sleep apnoea in heart failure: SERVE-HF on-treatment analysis

Holger Woehrle, Martin R Cowie, Christine Eulenburg, Anna Suling, Christiane Angermann, Marie-Pia d'Ortho, Erland Erdmann, Patrick Levy, Anita K Simonds, Virend K Somers, Faiez Zannad, Helmut Teschler, Karl Wegscheider, Holger Woehrle, Martin R Cowie, Christine Eulenburg, Anna Suling, Christiane Angermann, Marie-Pia d'Ortho, Erland Erdmann, Patrick Levy, Anita K Simonds, Virend K Somers, Faiez Zannad, Helmut Teschler, Karl Wegscheider

Abstract

This on-treatment analysis was conducted to facilitate understanding of mechanisms underlying the increased risk of all-cause and cardiovascular mortality in heart failure patients with reduced ejection fraction and predominant central sleep apnoea randomised to adaptive servo ventilation versus the control group in the SERVE-HF trial.Time-dependent on-treatment analyses were conducted (unadjusted and adjusted for predictive covariates). A comprehensive, time-dependent model was developed to correct for asymmetric selection effects (to minimise bias).The comprehensive model showed increased cardiovascular death hazard ratios during adaptive servo ventilation usage periods, slightly lower than those in the SERVE-HF intention-to-treat analysis. Self-selection bias was evident. Patients randomised to adaptive servo ventilation who crossed over to the control group were at higher risk of cardiovascular death than controls, while control patients with crossover to adaptive servo ventilation showed a trend towards lower risk of cardiovascular death than patients randomised to adaptive servo ventilation. Cardiovascular risk did not increase as nightly adaptive servo ventilation usage increased.On-treatment analysis showed similar results to the SERVE-HF intention-to-treat analysis, with an increased risk of cardiovascular death in heart failure with reduced ejection fraction patients with predominant central sleep apnoea treated with adaptive servo ventilation. Bias is inevitable and needs to be taken into account in any kind of on-treatment analysis in positive airway pressure studies.

Conflict of interest statement

Conflict of interest: Disclosures can be found alongside this article at erj.ersjournals.com

Copyright ©ERS 2017.

Figures

FIGURE 1
FIGURE 1
Schematic representing different possible patterns of device usage and intervals in the different on-treatment analyses (OTA) (follow-up times are indicative only). Solid lines show periods where treatment was as randomised (control, blue; or ASV, red) and dotted lines show periods were treatment was not as randomised (e.g. no ASV use in the ASV group, or ASV use in the control group). a) Possible usage and adherence patterns to allocated treatment. Patients with continuous use remained in their randomised group and adherent to treatment throughout the study. The intermittent use examples show patients in both the ASV (red line) and control groups (blue line) switching between their allocated treatment (solid lines) and the alternative treatment (dotted lines). Early crossover in the ASV group refers to patient refusal of ASV despite randomisation to the ASV group, and early crossover in the control group refers to initiation of ASV within the first 2 weeks after randomisation in a patient randomised to the control group. Late crossover in the ASV group refers to withdrawal of ASV >2 weeks after randomisation in patients randomised to the ASV group, and late crossover in the control group refers to initiation of ASV >2 weeks after randomisation in patients randomised to the control group. b) Treatment intervals for six different hypothetical patients included in the on-treatment analyses (intention-to-treat, as-treated, as-treated-as-randomised). Intention-to-treat analysis allocates all follow-up intervals to the randomised treatment group, regardless of usage. As-treated analysis includes periods allocated on the basis of actual treatment during different follow-up intervals (ASV, red boxes; or control, blue boxes). As-treated-as-randomised analysis also allocates intervals on the basis of actual treatment received but only includes intervals where patients used the treatment to which they had been initially randomised (ASV, red boxes; or control, blue boxes). For all examples, patients 1 and 2 remained continuously in their randomised group, patients 3 and 4 had intermittent time in their randomised group and patients 5 and 6 crossed over from randomised treatment to the alternative group.

References

    1. Bitter T, Westerheide N, Prinz C, et al. Cheyne–Stokes respiration and obstructive sleep apnoea are independent risk factors for malignant ventricular arrhythmias requiring appropriate cardioverter-defibrillator therapies in patients with congestive heart failure. Eur Heart J 2011; 32: 61–74.
    1. Javaheri S, Shukla R, Zeigler H, et al. Central sleep apnea, right ventricular dysfunction, and low diastolic blood pressure are predictors of mortality in systolic heart failure. J Am Coll Cardiol 2007; 49: 2028–2034.
    1. Yumino D, Wang H, Floras JS, et al. Relationship between sleep apnoea and mortality in patients with ischaemic heart failure. Heart 2009; 95: 819–824.
    1. Hanly PJ, Zuberi-Khokhar NS. Increased mortality associated with Cheyne-Stokes respiration in patients with congestive heart failure. Am J Respir Crit Care Med 1996; 153: 272–276.
    1. Lanfranchi PA, Braghiroli A, Bosimini E, et al. Prognostic value of nocturnal Cheyne-Stokes respiration in chronic heart failure. Circulation 1999; 99: 1435–1440.
    1. Kasai T, Floras JS, Bradley TD. Sleep apnea and cardiovascular disease: a bidirectional relationship. Circulation 2012; 126: 1495–1510.
    1. Somers VK, White DP, Amin R, et al. Sleep apnea and cardiovascular disease: an American Heart Association/American College of Cardiology Foundation Scientific Statement from the American Heart Association Council for High Blood Pressure Research Professional Education Committee, Council on Clinical Cardiology, Stroke Council, and Council on Cardiovascular Nursing. J Am Coll Cardiol 2008; 52: 686–717.
    1. Arzt M, Schroll S, Series F, et al. Auto-servoventilation in heart failure with sleep apnoea: a randomised controlled trial. Eur Respir J 2013; 42: 1244–1254.
    1. Birner C, Series F, Lewis K, et al. Effects of auto-servo ventilation on patients with sleep-disordered breathing, stable systolic heart failure and concomitant diastolic dysfunction: subanalysis of a randomized controlled trial. Respiration 2014; 87: 54–62.
    1. Hastings PC, Vazir A, Meadows GE, et al. Adaptive servo-ventilation in heart failure patients with sleep apnea: a real world study. Int J Cardiol 2010; 139: 17–24.
    1. Kourouklis SP, Vagiakis E, Paraskevaidis IA, et al. Effective sleep apnoea treatment improves cardiac function in patients with chronic heart failure. Int J Cardiol 2013; 168: 157–162.
    1. Koyama T, Watanabe H, Igarashi G, et al. Short-term prognosis of adaptive servo-ventilation therapy in patients with heart failure. Circ J 2011; 75: 710–712.
    1. Oldenburg O, Schmidt A, Lamp B, et al. Adaptive servoventilation improves cardiac function in patients with chronic heart failure and Cheyne-Stokes respiration. Eur J Heart Fail 2008; 10: 581–586.
    1. Pepperell JC, Maskell NA, Jones DR, et al. A randomized controlled trial of adaptive ventilation for Cheyne-Stokes breathing in heart failure. Am J Respir Crit Care Med 2003; 168: 1109–1114.
    1. Takama N, Kurabayashi M. Effectiveness of adaptive servo-ventilation for treating heart failure regardless of the severity of sleep-disordered breathing. Circ J 2011; 75: 1164–1169.
    1. Topfer V, El-Sebai M, Wessendorf TE, et al. Adaptive servoventilation: effect on Cheyne-Stokes-respiration and on quality of life. Pneumologie 2004; 58: 28–32.
    1. Zhang XL, Yin KS, Li XL, et al. Efficacy of adaptive servoventilation in patients with congestive heart failure and Cheyne-Stokes respiration. Chin Med J (Engl) 2006; 119: 622–627.
    1. D'Elia E, Vanoli E, La Rovere MT, et al. Adaptive servo ventilation reduces central sleep apnea in chronic heart failure patients: beneficial effects on autonomic modulation of heart rate. J Cardiovasc Med (Hagerstown) 2013; 14: 296–300.
    1. Fietze I, Blau A, Glos M, et al. Bi-level positive pressure ventilation and adaptive servo ventilation in patients with heart failure and Cheyne-Stokes respiration. Sleep Med 2008; 9: 652–659.
    1. Teschler H, Dohring J, Wang YM, et al. Adaptive pressure support servo-ventilation: a novel treatment for Cheyne-Stokes respiration in heart failure. Am J Respir Crit Care Med 2001; 164: 614–619.
    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: 1095–1105.
    1. Peduzzi P, Wittes J, Detre K, et al. Analysis as-randomized and the problem of non-adherence: an example from the Veterans Affairs Randomized Trial of Coronary Artery Bypass Surgery. Stat Med 1993; 12: 1185–1195.
    1. Porta N, Bonet C, Cobo E. Discordance between reported intention-to-treat and per protocol analyses. J Clin Epidemiol 2007; 60: 663–669.
    1. Cowie MR, Woehrle H, Wegscheider K, et al. Rationale and design of the SERVE-HF study: treatment of sleep-disordered breathing with predominant central sleep apnoea with adaptive servo-ventilation in patients with chronic heart failure. Eur J Heart Fail 2013; 15: 937–943.
    1. Djavadkhani Y, Marshall NS, D'Rozario AL, et al. Ethics, consent and blinding: lessons from a placebo/sham controlled CPAP crossover trial. Thorax 2015; 70: 265–269.
    1. Woehrle H, Graml A, Weinreich G. Age- and gender-dependent adherence with continuous positive airway pressure therapy. Sleep Med 2011; 12: 1034–1036.
    1. Schoch OD, Baty F, Niedermann J, et al. Baseline predictors of adherence to positive airway pressure therapy for sleep apnea: a 10-year single-center observational cohort study. Respiration 2014; 87: 121–128.
    1. Poulet C, Veale D, Arnol N, et al. Psychological variables as predictors of adherence to treatment by continuous positive airway pressure. Sleep Med 2009; 10: 993–999.
    1. Bhatt DL, Kandzari DE, O'Neill WW, et al. A controlled trial of renal denervation for resistant hypertension. N Engl J Med 2014; 370: 1393–1401.
    1. Middleton S, Vermeulen W, Byth K, et al. Treatment of obstructive sleep apnoea in Samoa progressively reduces daytime blood pressure over 6 months. Respirology 2009; 14: 404–410.
    1. Weaver TE, Maislin G, Dinges DF, et al. Relationship between hours of CPAP use and achieving normal levels of sleepiness and daily functioning. Sleep 2007; 30: 711–719.
    1. Chai-Coetzer CL, Luo YM, Antic NA, et al. Predictors of long-term adherence to continuous positive airway pressure therapy in patients with obstructive sleep apnea and cardiovascular disease in the SAVE study. Sleep 2013; 36: 1929–1937.
    1. McMillan A, Bratton DJ, Faria R, et al. Continuous positive airway pressure in older people with obstructive sleep apnoea syndrome (PREDICT): a 12-month, multicentre, randomised trial. Lancet Respir Med 2014; 2: 804–812.

Source: PubMed

3
Subscribe