Literature DB >> 27448246

Milrinone for cardiac dysfunction in critically ill adult patients: a systematic review of randomised clinical trials with meta-analysis and trial sequential analysis.

Geert Koster1, Hanneke J Bekema2, Jørn Wetterslev3, Christian Gluud3, Frederik Keus4, Iwan C C van der Horst4.   

Abstract

INTRODUCTION: Milrinone is an inotrope widely used for treatment of cardiac failure. Because previous meta-analyses had methodological flaws, we decided to conduct a systematic review of the effect of milrinone in critically ill adult patients with cardiac dysfunction.
METHODS: This systematic review was performed according to The Cochrane Handbook for Systematic Reviews of Interventions. Searches were conducted until November 2015. Patients with cardiac dysfunction were included. The primary outcome was serious adverse events (SAE) including mortality at maximum follow-up. The risk of bias was evaluated and trial sequential analyses were conducted. The quality of evidence was assessed by the Grading of Recommendations Assessment, Development and Evaluation criteria.
RESULTS: A total of 31 randomised clinical trials fulfilled the inclusion criteria, of which 16 provided data for our analyses. All trials were at high risk of bias, and none reported the primary composite outcome SAE. Fourteen trials with 1611 randomised patients reported mortality data at maximum follow-up (RR 0.96; 95% confidence interval 0.76-1.21). Milrinone did not significantly affect other patient-centred outcomes. All analyses displayed statistical and/or clinical heterogeneity of patients, interventions, comparators, outcomes, and/or settings and all featured missing data. DISCUSSION: The current evidence on the use of milrinone in critically ill adult patients with cardiac dysfunction suffers from considerable risks of both bias and random error and demonstrates no benefits. The use of milrinone for the treatment of critically ill patients with cardiac dysfunction can be neither recommended nor refuted. Future randomised clinical trials need to be sufficiently large and designed to have low risk of bias.

Entities:  

Keywords:  Heart failure; Milrinone; Systematic review; Trial sequential analysis

Mesh:

Substances:

Year:  2016        PMID: 27448246      PMCID: PMC4992029          DOI: 10.1007/s00134-016-4449-6

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


Introduction

Milrinone (Corotrope®/Primacor®) is a type III phosphodiesterase inhibitor primarily used for inotropic support in the treatment of cardiac dysfunction. Although milrinone is implemented in several guidelines, its efficacy and safety profile remain controversial [1, 2]. Three meta-analyses have evaluated milrinone in critically ill patients [3-5]. One meta-analysis included adult cardiac surgery patients and observed that milrinone was associated with a significant increase in mortality while an update of the review found no significant effects [4, 5]. One other meta-analysis evaluated milrinone for the treatment of acute heart failure after acute myocardial infarction and suggested that milrinone might be safe and effective in these patients [3]. Unfortunately, only four trials with a limited number of 303 patients were included. None of these meta-analyses met all key methodological criteria for being a systematic review [6]. None of them were based upon a previously published protocol [3-5]. They lacked or had insufficient assessment of the risk of bias, and bias risks were insufficiently incorporated in the analyses and conclusions. They also lacked sufficient evaluation of the risks of random errors [7-9]. Just one domain having unclear risk of bias or high risk of bias is potentially sufficient to bias the findings. Furthermore, none of the previous meta-analyses assessed the outcomes according to the patients’ perspective following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) [10]. GRADE assesses the quality of evidence by evaluating risk of bias, heterogeneity, indirectness, imprecision and publication bias [10]. Our objective was to perform a systematic review with meta-analyses and trial sequential analysis (TSA) of randomised clinical trials (RCTs) according to The Cochrane Handbook for Systematic Reviews of Interventions and The Cochrane Hepato-Biliary Group Module comparing the benefits and harms of milrinone in critically ill adult patients with cardiac dysfunction [6, 7].

Methods

This systematic review was conducted according to our published protocol following the recommendations of The Cochrane Handbook for Systematic Reviews of Interventions and The Cochrane Hepato-Biliary Group Module and reported according to the PRISMA statement [6, 7, 11]. The protocol for this systematic review was registered at PROSPERO (no. CRD42014009061) [12].

Eligibility criteria

We considered all randomised clinical trials for inclusion, irrespective of language, blinding, publication status or sample size for assessment of benefits and harms. Quasi-randomised studies and observational studies with more than 500 patients were not included regarding assessment of benefits, but were considered for inclusion regarding assessment of harms and were planned to be analysed separately from the randomised trials [6]. Only trials with adult patients having cardiac dysfunction were considered. Cardiac dysfunction was defined as left ventricular ejection fraction (LVEF) below 40 % and/or low cardiac output. Low cardiac output syndrome was defined as a pre-existing or developing state of cardiac insufficiency with underlying left or right ventricular systolic dysfunction requiring inotrope support [13]. We accepted the definitions of the diagnoses according to the criteria used in each individual randomised trial. Milrinone was considered the experimental intervention. There were no restrictions on dose, continuous or intermittent administration, or duration of treatment. However, trials with oral and/or inhaled milrinone were excluded as such routes of administration were judged inappropriate for critically ill patients. All trials were included independent the type of control intervention, i.e., no intervention, placebo, dobutamine, levosimendan, or any other inotrope or vasopressor. While this may introduce heterogeneity, subgroup comparisons were preplanned according to inactive (placebo or no intervention) and potentially active control interventions (e.g., other inotropes or vasopressors). All outcomes were graded according to the patients’ perspective following GRADE [9]. The primary outcome was serious adverse events (SAE). SAE is a composite outcome summarising all serious events necessitating an intervention, operation, prolonged hospital stay or mortality according to ICH-GCP definitions [14]. This outcome was chosen for balancing the potential benefits and harms. The secondary outcomes were all-cause mortality, myocardial infarction, arrhythmia (including supra- and ventricular tachycardia and ventricular fibrillation) and duration of mechanical ventilation. Time-specific analyses of mortality were conducted according to availability of data (e.g. 30, 90 and/or 180 days). Length of stay (both intensive care unit and total hospital stay) is a potentially highly biased surrogate outcome for recovery and was therefore not considered.

Search strategy

We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in The Cochrane Library, PubMed/MEDLINE, EMBASE, Web of Science and CINAHL until November 2015 (see supplements). We searched the references of the identified trials and systematic reviews to identify any further relevant trials, i.e. backward snowballing. We also searched the WHO’s trial platform and ClinicalTrials.gov for ongoing trials and contacted the FDA and EMA.

Study selection and data extraction

Two authors independently identified the trials for inclusion. Excluded studies were listed with reasons for exclusion. The following data was extracted: year of publication, country in which the trial was conducted, year of conduct of the trial, single-centre or multicentre trial, inclusion and exclusion criteria, all outcomes, details on interventions and characteristics of the trials, e.g. baseline imbalance, early stopping and other than intention-to-treat analysis. The authors of the individual trials were contacted in case of any unclear or missing information.

Bias risk assessment

Two authors independently assessed the risks of bias of the trials following instructions in The Cochrane Handbook for Systematic Reviews of Interventions [6]. The following risk of bias domains were extracted from each trial: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessors, incomplete outcome data, selective outcome reporting and other bias including bias due to vested interest and/or academic bias [15-20]. Trials were classified as low risk of bias if all the domains were assessed as low risk. Trials were considered to have high risk of bias if one or more of these bias risk domains were scored as unclear or high risk of bias.

Error matrix approach

Data on the outcomes of all trials were assessed for the risks of bias (measured by the level of evidence), the risks of random error (measured by standard error) and design errors (measured by GRADING the outcomes) [21]. The three-dimensional Manhattan error matrix was used to facilitate the overview of available evidence at a glance [21].

Statistical analysis

We performed the meta-analyses according to The Cochrane Handbook for Systematic Reviews of Interventions [6] and The Cochrane Hepato-Biliary Group Module [7] and used the software package Review Manager 5.30 [22]. For TSA, the TSA program v.0.9beta (http://www.ctu.dk/tsa) was used [23]. Results were presented as relative risks (RR) with 95 % confidence interval (CI) if there were two or more trials for an outcome. For rare events (<5 % in the control group) we calculated odds ratios (OR) and for very rare events (<2 % in the control group) we calculated Peto’s OR with 95 % CI [24]. We also reported risk differences (RD) if conclusions were different from risk ratio. P values less than TSA-adjusted significance levels were considered statistically significant. We calculated both a fixed-effect [25] and a random-effects [26] model for meta-analysis and presented both models in case of discrepancy. Considering the anticipated clinical heterogeneity we emphasised the random-effects model except if one or two trials dominated the available evidence [27]. Heterogeneity was explored by the Chi-squared test with significance set at a P value of 0.10, and the quantity was measured by I2 [6, 28]. Analyses were performed on intention-to-treat [6]. In case of statistically significant RR, we calculated the number needed to treat (NNT) or number needed to harm (NNH) with 95 % CI. Predefined subgroup analyses were conducted according to (1) the bias risk of trials (low risk of bias compared to trials with unclear and high risk of bias; hypothesis: trials with unclear or high risk of bias are associated with more favourable beneficial effects); (2) the control intervention (inactive compared to potentially active; hypothesis: milrinone appears more favourable when compared to an inactive control intervention than potentially active control intervention); (3) clinical setting (patients having cardiac surgery compared to patients not having cardiac surgery; hypothesis: milrinone shows benefit in patients having cardiac surgery and not in other patients). Funnel plots were used to explore small trial bias when data of more than ten randomised trials were available [6, 29, 30].

Trial sequential analysis (TSA)

We conducted TSA to control the statistically significance levels when data are reanalysed repetitively or are too sparse to draw firm conclusions, and accordingly, appropriately widen the confidence intervals [8, 9, 31–33]. TSA depends on the quantification of the required information size (the meta-analysis sample size). We calculated the diversity (D2)-adjusted required information size (DARIS) for a random-effects meta-analysis [34]. Trial sequential monitoring boundaries cannot be calculated when less than 5 % of the DARIS has been accrued. We conducted TSA with the intention to maintain an overall 5 % risk of a type I error and a power of 90 %. We used the unweighted control event proportion in the control group and we anticipated an intervention effect of a 10 % relative risk reduction (RRR). Sensitivity analyses were conducted using an RRR of 20 % as well as the lower confidence limit of the RRR of the intervention effect suggested by the meta-analysis of the trials with low risk of bias [27]. We intended to provide the CI adjusted for sparse data and repetitive testing, which we describe as the TSA-adjusted CI.

GRADE approach

We used the GRADE system to assess the quality of the body of evidence associated with each of the major outcomes in our review using GRADE software (ims.cochrane.org/revman/other-resources/gradepro) [10]. The quality measure of a body of evidence considers within-study risk of bias, indirectness, heterogeneity, imprecision and risk of publication bias.

Results

The search strategy identified 9336 hits (Fig. 1). Three additional publications were identified by backward snowballing: two could be included [35, 36] and one was irretrievable [37]. After removal of duplicates and screening, 244 hits remained. Of the 244 hits, 213 were excluded after full text evaluation. The remaining 31 publications were included in this systematic review. All authors of the 31 publications were contacted for missing data; only three authors responded [38-40], but no additional data was obtained. Of the 31 publications, 15 evaluated only surrogate outcomes (such as haemodynamic variables). Accordingly, only 16 randomised trials provided data for analyses [35, 36, 38, 40–52].
Fig. 1

PRISMA flow diagram. Asterisk not available at Dutch libraries or the universities linked through the University of Groningen. Double asterisk study design: no RCT or prospective non-randomised <500 patients. Population: no cardiac dysfunction or low cardiac output syndrome. Intervention: not milrinone

PRISMA flow diagram. Asterisk not available at Dutch libraries or the universities linked through the University of Groningen. Double asterisk study design: no RCT or prospective non-randomised <500 patients. Population: no cardiac dysfunction or low cardiac output syndrome. Intervention: not milrinone No ongoing trials, quasi-randomised studies or observational studies were identified.

Characteristics of the included trials

The characteristics of the 16 randomised trials that provided data for analyses are listed (Table 1). Two trials used a three-arm parallel group design; all others had a two-arm parallel group design. There were five multicentre trials.
Table 1

Baseline characteristics of included trials

TrialPatientsClinical settingMilrinone bolus and infusion rateComparatorOutcomes
Cardiac surgery setting
 Doolan [46]30CHF, ONCAB and valve surgery50 µg/kgPlacebo (67 % received open label milrinone)Primary: noneSecondary: arrhythmiaOther: noneSurrogate: failure of weaning from CPB, haemodynamic and biochemical parameters
0.5 µg/kg/min for minimum 4 h
 Feneck [38]120AHF, cardiac surgery50 µg/kgDobutamine 10 up to 20 µg/kg/min if clinically indicatedPrimary: noneSecondary: MI, arrhythmias, hypotensionOther: adverse events, severe low output stateSurrogate: haemodynamic parameters
0.5–0.75 µg/kg/min
 Möllhoff [51]30CHF, cardiac surgeryNo bolusNifedipine 0.2 µg/kg/min for at least 24 h (dobutamine or epinephrine added when needed; no data)Primary: mortality (1 year)Secondary: arrhythmiasOther: hospital stay, angina pectoris at 1 year, NYHA at 1 yearSurrogate: haemodynamic and biochemical parameters
0.375 µg/kg/min for at least 24 h (dobutamine or epinephrine added when needed; no data)
 Al-Shawaf [41]30CHF, cardiac (valve) surgery50 µg/kgLevosimendan bolus 12 µg/kg followed by 0.1–0.2 µg/kg/min for 24 hPrimary: mortality (48 h)Secondary: MI, arrhythmias, mechanical ventilationOther: renal replacement therapySurrogate: haemodynamic parameters
0.3–0.5 µg/kg/min for 24 h
 Brackbill [43]40CHF, cardiac surgery50 µg/kgNesiritide bolus 2 µg/kg with infusion 0.01 µg/kg/min for approx. 24 h (30 % received epinephrine; 40 % dopamine)Primary: mortality (30 days)Secondary: noneOther: renal failure, length of ICU and hospital staySurrogate: haemodynamic parameters
0.375 µg/kg/min for approx. 24 h (20 % received epinephrine; 35 % dopamine)
 De Hert [45]30CHF, cardiac surgeryNo bolusLevosimendan 0.1 µg/kg/min maximum 24 h (+dobutamine 5 µg/kg/min)Primary: mortality (30 days)Secondary: MI, arrhythmias, mechanical ventilationOther: length of ICU and hospital staySurrogate: biochemical and haemodynamic parameters
0.5 µg/kg/min (+dobutamine 5 µg/kg/min)
 Jebeli [48]70CHF, ONCAB50 µg/kgPlacebo (>90 % received dopamine)Primary: mortality (until ICU discharge)Secondary: MI, arrhythmia, mechanical ventilationOther: myocardial ischemia, non-myocardial ischemic events, renal failure, duration of CPB, inotropic support and ICU staySurrogate: biochemical parameters, need for IABP
0.5 µg/kg/min for 24 h (>90 % received dopamine)
 Hadadzadeh [47]80CHF, OPCAB50 µg/kgPlacebo (52.5 % received other ‘inotropic support’)Primary: mortality (until ICU discharge)Secondary: MI, arrhythmia, mechanical ventilationOther: myocardial ischemia, ICU stay, inotropic support duration, renal failure, non-myocardial ischemic eventsSurrogate: need for IABP, biochemical parameters
0.5 µg/kg/min for 24 h (47.5 % received other ‘inotropic support’)
Non-cardiac surgery setting
 Biddle [42]79CHF50 or 75 µg/kgDobutamine 2.5 µg/kg/min, increased to max. 15.0 µg/kg/minPrimary: mortality (48 h)Secondary: arrhythmiasOther: adverse reactionsSurrogate: haemodynamic parameters
0.5 up to 0.75 or 1.0 µg/kg/min
 Karlsberg [49]30AHF post MI50 µg/kgDobutamine 2.5 µg/kg/min titrated to a max. of 15 µg/kg/minPrimary: mortality (24 h)Secondary: arrhythmiasOther: adverse eventsSurrogate: echocardiographic and haemodynamic parameters
First 3 h up titration from 0.5, 0.62 to 0.75 µg/kg/min and then 0.25–0.75 µg/kg/min
 Siostrzonek [50]20CHFNo bolusConventional (+dobutamine)Primary: mortality (24 h)Secondary: noneOther: length of ICU staySurrogate: days until complete weaning from catecholamine, haemodynamic and biochemical parameters
0.5 µg/kg/min > 24 h (+dobutamine)
 Cuffe [44]949AHF, CHFNo bolusPlacebo (9.3 % received dobutamine)Primary: mortality (60 days)Secondary: SAE, MI, arrhythmias, hypotensionOther: length of staySurrogate: none
0.5 µg/kg/min, titrated to 0.375–0.75 µg/kg/min and maintained for 48–72 h (11.5 % received dobutamine)
 Aranda [40]36CHF, awaiting HtxNo bolusDobutamine 2.5 µg/kg/min titrated 2.5 µg/kg/min to a max. 10 µg/kg/min (18 % received dopamine)Primary: mortality (until hospital discharge)Secondary: arrhythmiasOther: Htx, inotrope (bridge to Htx), LVAD (bridge to Htx), IABP (bridge to Htx), length of staySurrogate: switched to alternate drug, haemodynamic parameters, cost-effectiveness
0.25 µg/kg/min, titrated 0.125 µg/kg/min to max. 0.75 µg/kg/min (32 % received dopamine)
 Yang [36]120AHF post MINo bolusControlPrimary: mortality (7 days)Secondary: noneOther: noneSurrogate: echocardiographic, haemodynamic and biochemical parameters
0.5 µg/kg/min for 5 honce a day for 7 days
 Pang [35]50AHF post MI50 µg/kgPlacebo (+dobutamine)Primary: mortality (5 days)Secondary: noneOther: noneSurrogate: gastrointestinal reaction, haemodynamic parameters
0.5 µg/kg/min (+dobutamine)
 Wang [52]a 60Sepsis30 µg/kgControlPrimary: mortality (28 days)Secondary: noneOther: adverse events, ICU/hospital staySurrogate: haemodynamic and biochemical parameters
0.375–0.5 µg/kg/min

The maximal length of follow-up for the outcome mortality is reported between quotation marks in the ‘Outcomes’ column

AHF acute heart failure, CHF chronic heart failure, CPB cardiac pulmonary bypass, Htx heart transplant, IABP intra-arterial balloon pump, ICU intensive care unit, LVAD left ventricular assist device, MI myocardial infarction, ONCAB on-pump coronary artery bypass graft, OPCAB off-pump coronary artery bypass graft, SAE serious adverse events

aOnly the comparison between milrinone and control was included

Baseline characteristics of included trials The maximal length of follow-up for the outcome mortality is reported between quotation marks in the ‘Outcomes’ column AHF acute heart failure, CHF chronic heart failure, CPB cardiac pulmonary bypass, Htx heart transplant, IABP intra-arterial balloon pump, ICU intensive care unit, LVAD left ventricular assist device, MI myocardial infarction, ONCAB on-pump coronary artery bypass graft, OPCAB off-pump coronary artery bypass graft, SAE serious adverse events aOnly the comparison between milrinone and control was included Eight trials evaluated patients after cardiac surgery [38, 41, 43, 45–48, 51], four trials evaluated patients with chronic heart failure [40, 42, 44, 50], three trials evaluated patients with acute heart failure after acute myocardial infarction [35, 36, 49] and one trial evaluated patients with severe sepsis [52]. Milrinone was administered in different doses. Nine trials used a 50 µg/kg bolus and one trial a 30 µg/kg bolus. Continuous infusion rates ranged from 0.25 to 1.0 µg/kg/min. Eight trials used an inactive comparator and eight trials used a potentially active comparator, including catecholamines, dobutamine, levosimendan, nifedipine or nesirrtide. Many trials applied milrinone as an add-on intervention to standard care including other inotropes. Three trials (19 %) had low risk of bias regarding sequence generation, two trials (13 %) had low risk of bias regarding allocation concealment, five trials (31 %) had low risk of bias regarding blinding of participants, six trials (38 %) had low risk of bias regarding blinding of outcome assessors, five trials (31 %) had low risk of bias regarding incomplete outcome data, four trials (25 %) were without selective outcome reporting and two trials (13 %) were assessed as low risk of bias concerning industry and/or academic bias (Fig. 2). Accordingly, all trials were assessed as high risk of bias.
Fig. 2

Risk of bias assessment. Review of authors’ judgements about each risk of bias domain for each included study. Red high risk, green low risk, yellow unclear

Risk of bias assessment. Review of authors’ judgements about each risk of bias domain for each included study. Red high risk, green low risk, yellow unclear

Outcomes

The pooled intervention effect estimates with the 95 % CI of the outcomes are specified according to control intervention and setting (Table 2 and supplements).
Table 2

Conventional risk ratios with 95 % confidence intervals (CI) for the evaluated outcome measures including all patients stratified by intervention

Number of trialsNumber of patientsConventional meta-analysis
RR with 95 % CITest of interaction
Mortality
 Inactive control512670.99 (0.77–1.27)
 Potentially active control93440.76 (0.31–1.89)
 Any control1416110.96 (0.76–1.21) P = 0.59
MI
 Inactive control310600.54 (0.11–2.69)
 Potentially active control2601.09 (0.36–3.29)
 Any control511200.73 (0.25–2.09) P = 0.48
VT/VF
 Inactive control410870.80 (0.40–1.61)
 Potentially active control31391.11 (0.58–2.15)
 Any control712260.96 (0.65–1.41) P = 0.50
SVT
 Inactive control29881.43 (0.80–2.54)
 Potentially active control21500.60 (0.13–2.70)
 Any control411380.89 (0.43–1.87) P = 0.29
MV durationa
 Inactive control2150−2.85 (−5.00 to −0.69)
 Potentially active control26012.66 (−3.48 to 28.80)
 Any control42101.03 (−4.87 to 6.93) P = 0.06

All pooled estimates are reported using risk ratio and calculated using a random-effects model unless stated otherwise. TSA adjusted risk ratios with the predefined α = 0.05 (two sided), β = 0.10 (power 90 %) and an anticipated relative risk increase of 10 % could not be calculated in any outcome with <5 % of the DARIS accrued

DARIS diversity adjusted required information size, MI myocardial infarction, SVT supraventricular tachyarrhythmia, VT/VF ventricular tachyarrhythmia, MV mechanical ventilation

aMV duration is reported in mean difference with 95 % CI

Conventional risk ratios with 95 % confidence intervals (CI) for the evaluated outcome measures including all patients stratified by intervention All pooled estimates are reported using risk ratio and calculated using a random-effects model unless stated otherwise. TSA adjusted risk ratios with the predefined α = 0.05 (two sided), β = 0.10 (power 90 %) and an anticipated relative risk increase of 10 % could not be calculated in any outcome with <5 % of the DARIS accrued DARIS diversity adjusted required information size, MI myocardial infarction, SVT supraventricular tachyarrhythmia, VT/VF ventricular tachyarrhythmia, MV mechanical ventilation aMV duration is reported in mean difference with 95 % CI In the absence of trials that reported the primary composite outcome SAE including mortality, we have chosen to report all-cause mortality at maximum follow-up as the most important outcome. There were insufficient data for time-specific analyses of mortality. Meta-regression was not performed because of insufficient data. Subgroup analyses according to risk of bias were not performed as no trial was assessed as having low risk of bias. All analyses were conducted with stratification by control intervention, unless stated otherwise.

Comparison 1: all critically ill patients with cardiac dysfunction

All-cause mortality

Fourteen trials with 1611 randomised patients reported mortality. Pooled data showed that mortality at maximal follow-up was 11 % in both groups (RR 0.96; 95 % CI 0.76–1.21; I2 0 %; Fig. 3).
Fig. 3

Forest plot of all-cause mortality in trials stratified by intervention. Size of squares for risk ratio (RR) reflects the weight of the trial in the pooled analyses. Horizontal bars 95 % confidence intervals (CI)

Forest plot of all-cause mortality in trials stratified by intervention. Size of squares for risk ratio (RR) reflects the weight of the trial in the pooled analyses. Horizontal bars 95 % confidence intervals (CI) Subgroup analyses on type of control intervention and clinical setting showed differences in mortality event proportions in the control groups (inactive control group 0–70 %; potentially active control group 9–73 %; cardiac surgery setting control group 0–7 %; non-cardiac surgery setting control group 0–73 %), but tests of interaction showed no statistically significant differences between the groups (P = 0.59 and P = 0.83, respectively; Table 2 and supplements). No comparison could be analysed with TSA using the prespecified type I error of 5 % and type II error of 10 % because less than 5 % of DARIS was accrued. As a sensitivity analysis, we conducted TSA with an RRR of 20 % and power of 80 % which showed that 20 % of the data was accrued and thousands of additional randomised patients are needed before futility or the required information size will be reached (RR 0.96; TSA adjusted CI 0.60–1.53; see supplements).

Myocardial infarction

Five trials with 1120 patients reported myocardial infarction (MI). MI at maximal follow-up occurred in 3 % in the inactive control group versus 15 % in the potentially active control group. Two small trials [41, 45] had a potentially active control group. There were no statistically significant differences in MI between milrinone and any control group (RR 0.73; 95 % CI 0.25–2.09; I2 61 %, P = 0.48; Table 2). No comparison could be analysed with TSA using the prespecified type I error of 5 % and type II error of 10 % because less than 5 % of DARIS was accrued. Subgroup analyses based on clinical setting revealed discrepancy between fixed- and random-effects models driven by different weighting of one trial with 94 % relative risk reduction (random-effects model RR 0.53; 95 % CI 0.24–1.17, and fixed-effect model RR 0.45; 95 % CI 0.25–0.81; I2 34 %; see supplements) [48].

Other outcomes

Ventricular tachyarrhythmias [i.e. ventricular tachycardia (VT)/ventricular fibrillation (VF)] were reported in seven randomised trials (1226 patients) with equal event rate percentages (7 %) in both groups (RR 0.96; 95 % CI 0.65–1.41; I2 0 %). No comparison could be analysed with TSA using the prespecified type I error of 5 % and type II error of 10 % because less than 5 % of DARIS was accrued. The pooled results and the subgroup analyses showed no associations between milrinone and ventricular tachyarrhythmia (see supplements). Supraventricular tachyarrhythmia’s (SVT) were reported in four trials (1138 patients). There was a statistically significant heterogeneity between the trials in both subgroup analyses (both I2 55 %; P = 0.08). SVT varied from 5 to 18 % in the different subgroups (inactive versus potentially active and cardiac surgery versus non-cardiac surgery). Analyses of the pooled data (RR 0.89; 95 % CI 0.43–1.87) and the subgroups showed no significant associations (see supplements). No comparison could be analysed with TSA using the prespecified type I error of 5 % and type II error of 10 % since less than 5 % of DARIS was accrued. Mechanical ventilation duration was reported in four trials (210 patients) in a cardiac surgery setting; duration ranged from 11 to 34 h in the control group and 10–65 h in the milrinone group. There was statistically significant heterogeneity (I2 80 %; P = 0.002). No significant differences were found. Test of interaction was not significant (P = 0.06).

Comparison 2: patients with cardiac dysfunction after cardiac surgery

Six trials with 279 randomised patients reported mortality data. Mortality at maximal follow-up was 4 % in both groups (RR 1.04; 95 % CI 0.30–3.63; I2 0 %). No comparison could be analysed with TSA using the prespecified type I and type II error because less than 5 % of DARIS was accrued. Two trials used an inactive comparator and four trials used a potentially active comparator. No significant associations between milrinone and mortality were found (see supplements). MI was reported in four trials including 210 patients. There was significant statistical heterogeneity between the trials (I2 58 %; P = 0.09). There was discrepancy between the fixed- and the random-effects models driven by different weighting of one trial [48] (fixed-effect model RR 0.42; 95 % CI 0.21–0.86; random-effects model RR 0.47; 95 % CI 0.13–1.72; see supplements). No comparison could be analysed with TSA using the prespecified type I and type II error because less than 5 % of DARIS was accrued. Five trials with 240 patients documented ventricular tachyarrhythmia and no significant associations were found (see supplements). SVTs were reported in three trials with 230 randomised patients and no significant associations were found between milrinone and SVTs (see supplements).

Comparison 3: patients with cardiac dysfunction not having cardiac surgery

Eight trials with 1332 randomised patients reported mortality. Mortality at maximal follow-up was 11 % in the milrinone group versus 12 % in the control group (RR 0.91; 95 % CI 0.64–1.28; I2 0 %). No comparison could be analysed with TSA using the prespecified type I error of 5 % and type II error of 10 % because less than 5 % of DARIS was accrued. Three trials used an inactive control and five trials used a potentially active control. Subgroup analyses on type of control intervention showed no significant difference (test of interaction P = 0.34). No significant associations between milrinone and mortality were found (see supplements). Ventricular tachyarrhythmia’s (VT/VF) were reported in two trials (986 patients). No significant associations between milrinone and VT/VF were found (RR 1.19 95 % CI 0.68–2.06). There was insufficient data on other secondary outcomes. The Manhattan error matrix plots of milrinone showed that there is a similar amount of evidence regarding the benefits and harms of milrinone. All trials had high risks of systematic errors (bias) and the large majority of the trials also had high risks of random errors (see supplements).

Small trial bias

Funnel plots showed no clear arguments for small trial bias including publication bias (see supplements). The quality of the evidence was assessed as very low for all outcomes based on risk of bias limitations, indirectness, inconsistency, imprecision and other considerations. Table 3 shows the GRADEpro summary of findings table with stratification by control intervention.
Table 3

GRADE pro summary of findings table of the outcomes of interest stratified by control intervention

Quality assessmentNo. of patientsEffectQualityImportance
No. of studiesStudy designRisk of biasInconsistencyIndirectnessImprecisionOther considerationsMilrinoneAny controlRelative (95 % CI)Absolute (95 % CI)
Serious adverse events—not reported
Critical
Milrinone mortality at max FU comparator
 14Randomised trialsSeriousa Not seriousb Seriousb,c,d Very seriouse Nonef 86/815 (10.6 %)86/796 (10.8 %)RR 0.96(0.76 to 1.21)4 fewer per 1000(from 23 more to 26 fewer)⨁◯◯◯Very lowCritical
6.9 %3 fewer per 1000(from 14 more to 17 fewer)
Myocardial infarction
 5Randomised trialsSeriousa Seriousg Seriousc,d Very serious5 None19/568 (3.3 %)26/552 (4.7 %)RR 0.73(0.25 to 2.09)13 fewer per 1000(from 35 fewer to 51 more)⨁◯◯◯Very lowImportant
22.5 %61 fewer per 1000(from 169 fewer to 245 more)
Ventricular arrhythmias
 7Randomised trialsSeriousa Not serioush Seriousc,d Very seriouse None41/622 (6.6 %)42/604 (7.0 %)RR 0.96(0.65 to 1.41)3 fewer per 1000(from 24 fewer to 29 more)⨁◯◯◯Very lowImportant
5.1 %2 fewer per 1000(from 18 fewer to 21 more)
Supraventricular arrhythmias
 4Randomised trialsSeriousa Seriousg Seriousc,d Very seriouse None38/577 (6.6 %)36/561 (6.4 %)RR 0.89(0.43 to 1.87)7 fewer per 1000(from 37 fewer to 56 more)⨁◯◯◯Very lowNot important
12.9 %14 fewer per 1000(from 74 fewer to 112 more)
Mechanical ventilation duration
 4Randomised trialsSeriousa Seriousg Very seriousc,d Seriouse NoneMD 1.03 higher(4.87 lower to 6.93 higher)⨁◯◯◯Very lowNot important

CI confidence interval, RR risk ratio, MD mean difference

aNo trial with low risk of bias in all domains; many bias assessment items are not reported in the trials

bThere was considerable clinical heterogeneity in setting (reflected by >5 % difference in control event rate between populations) and comparator. All in all not enough to downgrade the evidence for inconsistency concerning the outcome mortality

cThere was considerable difference in dosing, titration and duration of milrinone; furthermore trials evaluated milrinone in a minority of trials against the most valuable inactive comparator (placebo); and even then different conventional inotropes were used between the trials

dMost trials used surrogate outcomes instead of patient-important outcomes

eMany trials with few patients and few events; less than 5 % of DARIS accrued

fFunnel plots showed no clear asymmetry

gThere was considerable clinical and statistical heterogeneity

hDespite different clinical settings and interventions the CI were overlapping and statistical heterogeneity was low

GRADE pro summary of findings table of the outcomes of interest stratified by control intervention CI confidence interval, RR risk ratio, MD mean difference aNo trial with low risk of bias in all domains; many bias assessment items are not reported in the trials bThere was considerable clinical heterogeneity in setting (reflected by >5 % difference in control event rate between populations) and comparator. All in all not enough to downgrade the evidence for inconsistency concerning the outcome mortality cThere was considerable difference in dosing, titration and duration of milrinone; furthermore trials evaluated milrinone in a minority of trials against the most valuable inactive comparator (placebo); and even then different conventional inotropes were used between the trials dMost trials used surrogate outcomes instead of patient-important outcomes eMany trials with few patients and few events; less than 5 % of DARIS accrued fFunnel plots showed no clear asymmetry gThere was considerable clinical and statistical heterogeneity hDespite different clinical settings and interventions the CI were overlapping and statistical heterogeneity was low

Discussion

Our systematic review evaluating the effects of milrinone for critically ill adult patients with cardiac dysfunction found few data on outcomes critical for decision making. Thirty-one randomised clinical trials fulfilled our inclusion criteria. All included trials had high risk of bias, most as a result of not reporting bias protection, and nearly all trials had large risks of random errors. Fifteen trials only reported surrogate outcomes. No trial reported the primary outcome, SAE (including mortality). All-cause mortality was reported in 14 trials with 1611 patients. No significant effect on any patient-centred outcome was found. A general issue is that systematic reviews depend on the strengths of the included randomised trials. Trials with unclear or high risks of bias are associated with overestimation of benefits and underestimation of harms [15, 16, 18, 19]. The unknown true intervention effect may be beneficial, neutral or harmful. Previous meta-analyses on milrinone differ in design from our systematic review and they come to different conclusions [3-5]. One study focussed only on patients with myocardial infarction [3] and two only on cardiac surgery patients, in which the latter was an update [4, 5]. The meta-analysis on patients with myocardial infarction observed no significant effect on mortality, but stated that milrinone increased left ventricular ejection fraction and cardiac output [3]. The first meta-analysis evaluating patients having cardiac surgery suggested an increase in mortality using milrinone, which disappeared in the updated meta-analysis [4, 5]. Our prepublished protocol, a sensitive search strategy and thorough evaluations of the risks of systematic errors and random errors may explain differences with these previous publications [3-5]. First, previous meta-analyses ignored exploring associations of bias risk with intervention effect estimates. Final conclusions ought to be derived from trials with low risk of bias, of which there were none [6]. Second, despite including more patients (n = 1611) as compared to previous meta-analyses (n = 303 [3], n = 518 [4], n = 1037 [5]) the number of included patients is still far too small to draw any firm conclusions. We think that any significance needs the perspective of sample size considerations, in individual trials and also in meta-analyses [27, 31, 53–55]. Third, previous meta-analyses combined patients with normal cardiac functions [4, 5] and children [5] with patients with cardiac dysfunction into one pooled estimate. We included trials that randomised adult patients who had cardiac dysfunction. It is unlikely that patients benefit from milrinone when their cardiac function is unaffected, i.e. when the pathophysiological basis for cardiac stimulation is lacking. Co-interventions with medications with an efficacy profile similar to milrinone might also have obscured results. Trials that evaluated milrinone versus placebo could also be considered add-on trials since co-interventions were allowed. The largest trial that evaluated milrinone versus placebo allowed at least co-interventions with dobutamine in their randomised patients; other inotropes were not reported [44]. The results of this trial suggest that milrinone may be harmful in patients with heart failure (LVEF <40 %) compared with standard treatment (ACE inhibitor and diuretics). Furthermore, the sickest patients were excluded in this trial [44]. For daily practice it is of utmost interest to know which vasopressor, inotrope, vasodilator or any combination is indicated for which patient and at what target [56, 57]. We found that for milrinone and levosimendan for critically ill adult patients with cardiac dysfunction evidence from trials with low risk of bias and low risk of random error is lacking to support its use [58]. Other interventions are currently being evaluated in systematic reviews which might feed future evidence-based guidance for clinicians or substantiate new trials.

Limitations

During the process of the systematic review we were non-adherent to our prepublished protocol for several reasons. We rephrased the title and terminology for an improved description of the cardiac state of the patients at interest (i.e. cardiac dysfunction instead of cardiac support or myocardial dysfunction). We divided subgroup comparisons into inactive versus (potentially) active control interventions. Since no data was found on the predefined subgroup comparison milrinone versus vasopressors we were unable to report this comparison. There were also no data on the composite outcome SAE (mortality included) and, therefore, all-cause mortality became the most important outcome. The outcome hypotension was regarded as a surrogate outcome and therefore omitted. We frequently found significant statistical heterogeneity, but even when absent, there was still considerable clinical heterogeneity in patients, interventions, comparators, outcomes or settings. Pooling the data was frequently considered disputable, even in the absence of statistically significant tests of interactions. One example is the pooled intervention effect estimate of mortality (comparison 1), which has low statistical heterogeneity (I2 0 %; P = 0.50) and no subgroup differences, but the clinical heterogeneity is obvious, also reflected by control event rates for all-cause mortality varying from 3.6 to 12.0 %. The large variety in types of control interventions further increases clinical heterogeneity. Milrinone dose and duration varied among the included trials. Also, there were differences in definitions of outcomes. Further, 15 trials evaluated surrogate outcomes, such as haemodynamic and biochemical parameters. Finally, most trials had short follow-up; only one trial evaluated 1-year follow-up [51], so that mortality analyses reflect rather short follow-up.

Conclusions

The quantity and quality of evidence for benefit or harm of milrinone in critically ill adult patients with cardiac dysfunction are very low because of high risks of systematic and random errors. Future randomised clinical trials need to be large and well designed by following SPIRIT guidelines and reported according to CONSORT guidelines. The widespread use of milrinone in critical care cannot be advocated or refuted on the basis of the current evidence. Below is the link to the electronic supplementary material. Supplementary material 1 (DOC 788 kb)
  48 in total

1.  A comparison of methods to detect publication bias in meta-analysis.

Authors:  P Macaskill; S D Walter; L Irwig
Journal:  Stat Med       Date:  2001-02-28       Impact factor: 2.373

2.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

3.  Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study.

Authors:  Lesley Wood; Matthias Egger; Lise Lotte Gluud; Kenneth F Schulz; Peter Jüni; Douglas G Altman; Christian Gluud; Richard M Martin; Anthony J G Wood; Jonathan A C Sterne
Journal:  BMJ       Date:  2008-03-03

4.  What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes.

Authors:  J Zhang; K F Yu
Journal:  JAMA       Date:  1998-11-18       Impact factor: 56.272

5.  Cumulating evidence from randomized trials: utilizing sequential monitoring boundaries for cumulative meta-analysis.

Authors:  J M Pogue; S Yusuf
Journal:  Control Clin Trials       Date:  1997-12

6.  A placebo-controlled trial verifying the efficacy of milrinone in weaning high-risk patients from cardiopulmonary bypass.

Authors:  L A Doolan; E F Jones; J Kalman; B F Buxton; A M Tonkin
Journal:  J Cardiothorac Vasc Anesth       Date:  1997-02       Impact factor: 2.628

7.  Combination therapy with milrinone and esmolol for heart protection in patients with severe sepsis: a prospective, randomized trial.

Authors:  Zenggeng Wang; Qinghua Wu; Xiangbi Nie; Jinghua Guo; Chunli Yang
Journal:  Clin Drug Investig       Date:  2015-11       Impact factor: 2.859

8.  Effect of milrinone on short-term outcome of patients with myocardial dysfunction undergoing coronary artery bypass graft: A randomized controlled trial.

Authors:  Mohammad Jebeli; Mohammad Ghazinoor; Mohammad Hussein Mandegar; Mohammad R Rasouli; Payam Eghtesadi-Araghi; Hamidreza Goodarzynejad; Robabeh Mohammadzadeh; Ali Darehzereshki; Saied Dianat
Journal:  Cardiol J       Date:  2010       Impact factor: 2.737

9.  Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods.

Authors:  Janus Christian Jakobsen; Jørn Wetterslev; Per Winkel; Theis Lange; Christian Gluud
Journal:  BMC Med Res Methodol       Date:  2014-11-21       Impact factor: 4.615

10.  Estimating required information size by quantifying diversity in random-effects model meta-analyses.

Authors:  Jørn Wetterslev; Kristian Thorlund; Jesper Brok; Christian Gluud
Journal:  BMC Med Res Methodol       Date:  2009-12-30       Impact factor: 4.615

View more
  8 in total

1.  Adjuvant therapy in acute heart failure.

Authors:  Tahar Chouihed; Alexa Hollinger; Alexandre Mebazaa
Journal:  Intensive Care Med       Date:  2017-12-04       Impact factor: 17.440

Review 2.  Nitrile-containing pharmaceuticals: target, mechanism of action, and their SAR studies.

Authors:  Xi Wang; Yuanxun Wang; Xuemin Li; Zhenyang Yu; Chun Song; Yunfei Du
Journal:  RSC Med Chem       Date:  2021-08-10

Review 3.  Management of Acute Heart Failure during an Early Phase.

Authors:  Koji Takagi; Antoine Kimmoun; Naoki Sato; Alexandre Mebazaa
Journal:  Int J Heart Fail       Date:  2020-04-17

4.  Dopamine in critically ill patients with cardiac dysfunction: A systematic review with meta-analysis and trial sequential analysis.

Authors:  Bart Hiemstra; Geert Koster; Jørn Wetterslev; Christian Gluud; Janus C Jakobsen; Thomas W L Scheeren; Frederik Keus; Iwan C C van der Horst
Journal:  Acta Anaesthesiol Scand       Date:  2018-12-04       Impact factor: 2.105

5.  The effect of milrinone on mortality in adult patients who underwent CABG surgery: a systematic review of randomized clinical trials with a meta-analysis and trial sequential analysis.

Authors:  Yu-Shan Ren; Lan-Fang Li; Tao Peng; Yu-Jun Tan; Ying Sun; Guo-Liang Cheng; Gui-Min Zhang; Jie Li
Journal:  BMC Cardiovasc Disord       Date:  2020-07-08       Impact factor: 2.298

6.  Current use of inotropes in circulatory shock.

Authors:  Thomas W L Scheeren; Jan Bakker; Thomas Kaufmann; Djillali Annane; Pierre Asfar; E Christiaan Boerma; Maurizio Cecconi; Michelle S Chew; Bernard Cholley; Maria Cronhjort; Daniel De Backer; Arnaldo Dubin; Martin W Dünser; Jacques Duranteau; Anthony C Gordon; Ludhmila A Hajjar; Olfa Hamzaoui; Glenn Hernandez; Vanina Kanoore Edul; Geert Koster; Giovanni Landoni; Marc Leone; Bruno Levy; Claude Martin; Alexandre Mebazaa; Xavier Monnet; Andrea Morelli; Didier Payen; Rupert M Pearse; Michael R Pinsky; Peter Radermacher; Daniel A Reuter; Yasser Sakr; Michael Sander; Bernd Saugel; Mervyn Singer; Pierre Squara; Antoine Vieillard-Baron; Philippe Vignon; Jean-Louis Vincent; Iwan C C van der Horst; Simon T Vistisen; Jean-Louis Teboul
Journal:  Ann Intensive Care       Date:  2021-01-29       Impact factor: 6.925

Review 7.  Scandinavian SSAI clinical practice guideline on choice of inotropic agent for patients with acute circulatory failure.

Authors:  M H Møller; A Granholm; E Junttila; M Haney; A Oscarsson-Tibblin; A Haavind; J H Laake; E Wilkman; K Ö Sverrisson; A Perner
Journal:  Acta Anaesthesiol Scand       Date:  2018-02-25       Impact factor: 2.105

8.  Intraoperative milrinone versus dobutamine in cardiac surgery patients: a retrospective cohort study on mortality.

Authors:  Dorthe Viemose Nielsen; Christian Torp-Pedersen; Regitze Kuhr Skals; Thomas A Gerds; Zidryne Karaliunaite; Carl-Johan Jakobsen
Journal:  Crit Care       Date:  2018-02-26       Impact factor: 9.097

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.