Literature DB >> 30533459

Data on differential multivariable risk prediction of appropriate shock vs. competing mortality.

Leonard Bergau1, Rik Willems2, David J Sprenkeler3, Thomas H Fischer1, Panayota Flevari4, Gerd Hasenfuß1,5, Dimitrios Katsaras4, Aleksandra Kirova1, Stephan E Lehnart1,5, Lars Lüthje1, Christian Röver6, Joachim Seegers1,7, Samuel Sossalla1, Albert Dunnink3,8, Rajevaa Sritharan1, Anton E Tuinenburg8, Bert Vandenberk2, Marc A Vos3, Sofieke C Wijers3,8, Tim Friede5,6, Markus Zabel1,5.   

Abstract

This data article features supplementary figures and tables related to the article "Differential Multivariable risk prediction of appropriate shock vs. competing mortality - a prospective cohort study to estimate benefits from implantable cardioverter defibrillator therapy" (Bergau et al., 2018) [1]. The figures show the clinical study CONSORT graph (data that show the number of patients not-analyzable as well as a distribution of patients by outcomes) and the correlation scatter plot for risk scores of appropriate shock vs. mortality (data that show the calculated score values of the two scores plotted against each other). The tables show the results for the univariate Cox regressions for prediction of mortality and appropriate shock. For further information, please see Bergau et al. (2018) [1].

Entities:  

Year:  2018        PMID: 30533459      PMCID: PMC6262164          DOI: 10.1016/j.dib.2018.11.025

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table

Value of the data

The CONSORT graph data of the prospective clinical study is shown, giving insight into the distribution of patient subjects in the study. The correlation scatter plot data for calculated risk score values of appropriate shock vs. calculated risk score value for mortality is shown, original pairs of score values can be discerned in the graphics and are shared as a file. The univariate Cox regression data for prediction of mortality and appropriate shock (unadjusted and adjusted for base model) are shown, giving insights into the basic statistical data before multivariate analyses.

Data

The data article features supplementary figures and tables related to [1]. See the abstract above for further details describing the data.

Experimental design, materials and methods

A prospective international clinical study was initiated as part of the European Union Seventh Framework funded large-scale cooperative project EUTrigTreat. The rationale, objectives and design of the study including statistical plan and sample size calculations have been published previously. In brief, the study enrolled a contemporary implantable cardioverter defibrillator cohort to test multiple carefully selected risk markers of clinical relevance for prediction of mortality and arrhythmias. The large majority of patients underwent non-invasive programmed ventricular stimulation via their implanted ICDs. Inducibility of sustained ventricular arrhythmia was defined as induction of a single monomorphic ventricular tachycardia lasting for 30 seconds or two polymorphic ventricular tachycardia/ventricular fibrillation episodes requiring cardioversion. A 24-h Holter monitoring was performed using standard devices. The primary endpoint was all-cause mortality. First appropriate implantable cardioverter defibrillator shock was selected as a key secondary endpoint. Cox regression analysis was implemented as described. Risk models for shock and mortality were developed using forward selection among a set of known potential risk factors ( Figs. 1 and 2 and Table 1, Table 2, Table 3).
Fig. 1

CONSORT graph for patient enrolment, patients not considered for final analysis and clinical endpoints.

Fig. 2

Correlation scatter plot for calculated risk score values of appropriate shock vs. calculated risk score value for mortality (r = 0.56, p < 0.001) Horizontal and vertical lines depict the low, intermediate, and high risk values of each score. The figure shows that the correlation is at best moderate despite mathematical significance. Thus, all-cause mortality risk does not coincide well with appropriate shock risk. Individually, a low risk of appropriate shock does occur with a high competing risk of death limiting the effectiveness of implantable cardioverter defibrillator therapy in a given patient (lower right quadrant). Vice versa, individual patients can be identified with fairly high risks of appropriate shock and concomitant moderate risks of death (upper left quadrant). These individuals are expected to have a higher life-prolonging effect of their implantable cardioverter defibrillator therapy, i.e. higher implantable cardioverter defibrillator benefit. The original score values are attached in a table (csv file).

Table 1

Results for univariate Cox regression for prediction of mortality (unadjusted and adjusted for base model).

VariablePatientsunadjusted
adjusted
pHRCIpHRCI
Age (per 10 years)635< 0.00012.201.79-1.2,71
LVEF (per 5%)635< 0.00010.740.68–0.81
NYHA > 2635< 0.00012.651.82–3.86
eGFR (per 30 ml/min)623< 0.00010.450.35–0.58
Male gender6350.07491.600.93–2.76
Ischemic vs. non-ischemic6340.03301.731.04–2.22
Secondary prevention6340.02110.610.40–0.94
History of AF622< 0.00014.022.56–6.31
COPD6350.00012.781.75–4.55
NTproBNP/BNP (per 100 ng/l)5820.00161.461.23–1.730.01551.461.16–1.84
hs-CRP (per 10 mg/dl)4770.00131.621.29–2.05
ICD chambers (dual vs. CRT; single vs. others)635< 0.00010.62; 1.990.37–1.02; 1.30–3.050.03460.55; 1.000.32–0.91; 0.64–1.56
Intrinsic QRS (per 10 ms)5350.00071.131.05–1.200.36501.040.96–1.12
Intrinsic QT interval (per 10 ms)5350.4331.020.98–1.060.39600.980.94–1.03
Intrinsic QTc interval (per 10 ms)5350.03621.051.005–1.100.90001.000.95–1.05
Inducibility on EP testing6160.42801.210.76–1.930.99001.000.61–1.63
MTWA (A rules)4930.01251.821.13–2.930.90201.030.63–1.70
MTWA (B rules)4930.01131.821.14–2.900.82401.060.65–1.72
Holter mean heart rate (per 10 bpm)6340.19301.140.94–1.390.07801.210.98–1.49
Holter PVC/24 h (per 100/24 h)6320.65801.001.00–1.000.86401.001.00–1.00
Holter nsVT/24 h6320.16400.980.94–1.020.37100.980.95–1.03
Holter SDNN (per 10 ms)4700.00750.920.86–0.980.79000.990.92–1.06
Holter RMSSD (per ms)4730.69800.830.31–2.220.74500.850.31–2.32
Holter DC (per ms)4740.00220.960.94–0.980.24500.980.95–1.01
Holter HRT category (TO/TS abnormal)434< 0.00013.952.06–7.570.0362.051.00–4.17
Holter HRT onset (%)4340.00121.181.08–1.280.0741.121.00–1.25
Holter HRT slope (ms/RR-interval)4340.00010.880.81–0.950.2820.960.90–1.04

(Open field = no adjusted value available, AF = atrial fibrillation, CI = confidence interval, COPD = chronic obstructive pulmonary disease, eGFR = estimated glomerular filtration rate, DC = deceleration capacity, HR = hazard ratio, HRT = heart rate turbulence, hs-CRP = high-sensitivity C-reactive protein, ICD = implantable cardioverter defibrillator, EP = electrophysiological, LVEF = left ventricular ejection fraction, MTWA = microvolt T-wave alternans, PVC = premature ventricular contraction, nsVT = non-sustained ventricular tachycardia, NT-pro-BNP = n-terminal-pro-brain natriuretic peptide, NYHA = New York Heart Association functional class, SDNN = standard deviation of RR intervals, RMSSD = mean square root of mean of squared differences between normal-to-normal RR intervals, TO = turbulence onset, TS = turbulence slope).

Table 2

Results of univariate Cox regression for prediction of appropriate shock (unadjusted and adjusted for base model).

Variablenunadjusted
adjusted
pHRCIpHRCI
Age (per 10 years)6350.69700.970.98–1.01
LVEF (per 5%)6350.00040.870.80–0.94
NYHA > 26350.50600.860.54–1.36
eGFR (per 30 ml/min)6230.01100.720.55–0.93
Male gender6350.41401.240.73–2.12
Secondary prevention6340.00511.781.19–2.66
Ischemic vs. non-ischemic6330.20401.300.87–1.95
COPD6350.01302.291.26–4.16
History of AF6220.76401.230.68–1.820.4871.170.75–1.83
NTproBNP/BNP (per 100 ng/l)5820.33501.200.88–1.630.8951.030.65–1.64
hs-CRP (per 10 mg/dl)4770.67100.900.53–1.51
ICD chambers (dual vs. CRT, single vs. other)6350.88801.12; 1.030.71–1.75; 0.60–1.780.75901.17; 1.170.74–1.86; 0.66–2.11
Intrinsic QRS (per 10 ms)5350.03061.081.01–1.150.11401.060.99–1.14
Intrinsic QT (per 10 ms)5350.07361.041.00–1.080.11101.040.99–1.14
Intrinsic QTc (per 10 ms)5350.02081.061.00–1.110.08861.050.99–1.10
EP inducibility6160.00092.151.40–3.300.01011.841.18–2.89
MTWA (A rules)4930.00681.851.18–2.920.05921.580.98–2.56
MTWA (B rules)4930.01521.731.11–2.690.11001.460.92–2.32
Holter mean heart rate (per 10 bpm)6340.19900.870.70–1.080.15800.850.68–1.07
Holter PVCs/24 h (per 100/24 h)6350.28801.001.00–1.000.2811.001.00–1.00
Holter nsVT/24 h6350.98701.000.99–1.010.91201.000.98–1.01
Holter SDNN (per 10 ms)4700.68501.010.96–1.070.43101.030.96–1.09
Holter RMSSD (per ms)4730.91101.000.99–1.010.92401.000.99–1.01
Holter DC (per ms)4740.08960.970.95–1.000.21400.980.95–1.01
Holter HRT category (TO or TS abnormal, TO/TS abnormal)4340.26101.52; 1.490.87–2.64; 0.78–2.850.25801.60; 1.600.87–2.93; 0.78–3.30
Holter HRT onset (%)4340.44701.040.94–1.160.72301.020.91–1.15
Holter HRT slope (ms/RR-interval)4340.26400.970.92–1.020.37900.970.91–1.04

(Open field = no adjusted value available, AF = atrial fibrillation, CI = confidence interval, COPD = chronic obstructive pulmonary disease, eGFR = estimated glomerular filtration rate, DC = deceleration capacity, HR = hazard ratio, HRT = heart rate turbulence, hs-CRP = high-sensitivity C-reactive protein, ICD = implantable cardioverter defibrillator, EP = electrophysiological, LVEF = left ventricular ejection fraction, MTWA = microvolt T-wave alternans, PVC = premature ventricular contraction, nsVT = non-sustained ventricular tachycardia, NT-pro-BNP = n-terminal-pro-brain natriuretic peptide, NYHA = New York Heart Association functional class, SDNN = standard deviation of RR intervals, RMSSD = mean square root of mean of squared differences between normal-to-normal RR intervals, TO = turbulence onset, TS = turbulence slope).

Table 3

Risk scores for risk of all-cause mortality and risk of appropriate ICD shock.

Mortality score:
0.0547 × age − 0.0452 × lvef + 0.548 * nyha – 0.0117 * egfr + 0.527 × afib + 0.0000376 × ntprobnp



Shock score:
− 0.0268 × lvef − 0.00883 × egfr + 0.684 × prevention + 0.619 × inducibility

age = age in years; lvef = left ventricular ejection fraction in %; egfr = estimated glomerular filtration rate in ml/min; afib = (1 if present in history, 0 if absent); ntprobnp = NT-pro BNP in ng/l; prevention = (1 if secondary prevention indication, 0 if primary prevention indication); inducibility = (1 if inducible arrhythmia in electrophysiologic study, 0 if arrhythmia not inducible)

CONSORT graph for patient enrolment, patients not considered for final analysis and clinical endpoints. Correlation scatter plot for calculated risk score values of appropriate shock vs. calculated risk score value for mortality (r = 0.56, p < 0.001) Horizontal and vertical lines depict the low, intermediate, and high risk values of each score. The figure shows that the correlation is at best moderate despite mathematical significance. Thus, all-cause mortality risk does not coincide well with appropriate shock risk. Individually, a low risk of appropriate shock does occur with a high competing risk of death limiting the effectiveness of implantable cardioverter defibrillator therapy in a given patient (lower right quadrant). Vice versa, individual patients can be identified with fairly high risks of appropriate shock and concomitant moderate risks of death (upper left quadrant). These individuals are expected to have a higher life-prolonging effect of their implantable cardioverter defibrillator therapy, i.e. higher implantable cardioverter defibrillator benefit. The original score values are attached in a table (csv file). Results for univariate Cox regression for prediction of mortality (unadjusted and adjusted for base model). (Open field = no adjusted value available, AF = atrial fibrillation, CI = confidence interval, COPD = chronic obstructive pulmonary disease, eGFR = estimated glomerular filtration rate, DC = deceleration capacity, HR = hazard ratio, HRT = heart rate turbulence, hs-CRP = high-sensitivity C-reactive protein, ICD = implantable cardioverter defibrillator, EP = electrophysiological, LVEF = left ventricular ejection fraction, MTWA = microvolt T-wave alternans, PVC = premature ventricular contraction, nsVT = non-sustained ventricular tachycardia, NT-pro-BNP = n-terminal-pro-brain natriuretic peptide, NYHA = New York Heart Association functional class, SDNN = standard deviation of RR intervals, RMSSD = mean square root of mean of squared differences between normal-to-normal RR intervals, TO = turbulence onset, TS = turbulence slope). Results of univariate Cox regression for prediction of appropriate shock (unadjusted and adjusted for base model). (Open field = no adjusted value available, AF = atrial fibrillation, CI = confidence interval, COPD = chronic obstructive pulmonary disease, eGFR = estimated glomerular filtration rate, DC = deceleration capacity, HR = hazard ratio, HRT = heart rate turbulence, hs-CRP = high-sensitivity C-reactive protein, ICD = implantable cardioverter defibrillator, EP = electrophysiological, LVEF = left ventricular ejection fraction, MTWA = microvolt T-wave alternans, PVC = premature ventricular contraction, nsVT = non-sustained ventricular tachycardia, NT-pro-BNP = n-terminal-pro-brain natriuretic peptide, NYHA = New York Heart Association functional class, SDNN = standard deviation of RR intervals, RMSSD = mean square root of mean of squared differences between normal-to-normal RR intervals, TO = turbulence onset, TS = turbulence slope). Risk scores for risk of all-cause mortality and risk of appropriate ICD shock. age = age in years; lvef = left ventricular ejection fraction in %; egfr = estimated glomerular filtration rate in ml/min; afib = (1 if present in history, 0 if absent); ntprobnp = NT-pro BNP in ng/l; prevention = (1 if secondary prevention indication, 0 if primary prevention indication); inducibility = (1 if inducible arrhythmia in electrophysiologic study, 0 if arrhythmia not inducible)
Subject areaMedicine
More specific subject areaClinical study data
Type of dataFigures, tables, and text
How data was acquiredThe data were acquired in a clinical study
Data formatFigures, tables, and text
Experimental factorsObservational clinical diagnostic study in ICD patients
Experimental featuresCONSORT graph, correlation scatterplot of shock score vs. mortality score, calculation formulae for both scores, univariate Cox regression for both endpoints
Data source locationGöttingen/Germany; Leuven/Belgium; Utrecht/The Netherlands; Athens/Greece
Data accessibilityData is available in this article
Related research articleBergau L, Willems R, Sprenkeler DJ, Fischer TH, Flevari P, Hasenfuss G, et al. Differential multivariable risk prediction of appropriate shock versus competing mortality – a prospective cohort study to estimate benefits from ICD therapy Int J Cardiol. 2018; 272:102–7 [1].
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1.  Differential multivariable risk prediction of appropriate shock versus competing mortality - A prospective cohort study to estimate benefits from ICD therapy.

Authors:  Leonard Bergau; Rik Willems; David J Sprenkeler; Thomas H Fischer; Panayota Flevari; Gerd Hasenfuß; Dimitrios Katsaras; Aleksandra Kirova; Stephan E Lehnart; Lars Lüthje; Christian Röver; Joachim Seegers; Samuel Sossalla; Albert Dunnink; Rajevaa Sritharan; Anton E Tuinenburg; Bert Vandenberk; Marc A Vos; Sofieke C Wijers; Tim Friede; Markus Zabel
Journal:  Int J Cardiol       Date:  2018-06-28       Impact factor: 4.164

  1 in total
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2.  Repeating noninvasive risk stratification improves prediction of outcome in ICD patients.

Authors:  Bert Vandenberk; Vincent Floré; Christian Röver; Mark A Vos; Albert Dunnink; Dionyssios Leftheriotis; Tim Friede; Panagiota Flevari; Markus Zabel; Rik Willems
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