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The investigators hypothesize that a simple assessment of peripheral venous pressure (PVP) will better predict the diuretic need and long-term outcomes (all cause mortality, all cause rehospitalization, emergency department visits) compared to standard evaluation.
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I. BACKGROUND AND SIGNIFICANCE
Precise assessment of volume status is essential in diagnosis and management of diuretic therapy in patients hospitalized for heart failure (HF). Unfortunately, no clear guidelines are present for in-hospital management of congestion. Consequently, nearly half of the patients hospitalized for congestive HF are discharged with persistent congestion. This contributes to high rates of readmission and mortality.
Recently, it has been shown that a simple assessment of peripheral venous pressure (PVP) demonstrates a high correlation with central venous pressure (CVP), indicating that PVP may be useful in the standard bedside clinical assessment of volume status in HF patients to help guiding decongestive therapy.
II. THE HYPOTHESIS
The main hypothesis is as follows: A simple assessment of peripheral venous pressure (PVP) will better guide the diuretic need and long-term outcomes (all-cause mortality, all cause re-hospitalization, emergency department visits) compared to standard evaluation.
III. METHODS
Baseline variables Baseline variables will be entered to the electronic study form (RedCap).
Procedures A peripheral intravenous (IV) access, using an 18 to 22-gauge IV line, will be placed preferably to an upper extremity vein before enrollment. This line will be used to draw blood samples first. After blood samples were collected the subjects will be randomized to standard or PVP guided therapy groups. Randomization will be done using a computer-generated random allocation list via RedCap randomization module. The details of demographic characteristics, symptoms, physical examination findings and drug list will be noted to a standard electronic study form (see appendix). A routine electrocardiogram and echocardiogram will be performed at the earliest convenience.
After the blood samples were collected, line will be flushed carefully. PVP will be obtained by transducing a peripheral intravenous line after zeroing at the phlebostatic axis. The phlebostatic axis will be accepted as the midpoint between the anterior and posterior surfaces of the chest at the level of the fourth intercostal space meets with sternum, which is assumed to be correlated with the mid-level of the right atrium. The patient's arm will be placed parallel to the patient such that the position of the peripheral IV to be at the phlebostatic axis. Continuity of the peripheral IV line with the central venous system will be confirmed by demonstrating augmentation of the venous pressure waveform using manual or tourniquet circumferential occlusion of the extremity proximal to the catheter and modified Valsalva maneuver. If the pressure waveform failed to augment appropriately, data will not be collected, and the patient will be documented for study purposes as a technique failure. Daily fluid intake and output, weight, and biochemistry measurements, as required, will be done.
The patients in whom the first and the predischarge PVP cannot be measured due to technical issues (unable to provide upper extremity IV access, unable to confirm augmentation or Valsalva test) will be excluded from the study. Also, the patients requiring in-hospital intubation, high-dose inotrope or vasopressor infusion (≥10 mcg.kg-1.min-1 dopamine, dobutamine or equivalent), intraaortic balloon support, dialysis or veno-venous ultrafiltration will be excluded from the study (but these patients will be included in the in-hospital analyses).
In hospital diuretic treatment will be guided by ESC guidelines (see references). In the standard therapy arm, the treatment and the decision of discharge will be left to physicians' discretion. In the PVP-guided arm, a PVP < 9 mmHg will be targeted before discharge.
Outcomes The primary outcome of the study is the composite endpoint of all-cause mortality, all-cause hospitalization and all-cause emergency department visits. The secondary outcomes will include cardiovascular mortality, HF-related hospitalization, HF-related emergency department visits. This information on these outcomes will be obtained from the national electronic database. The follow-up duration is planned to be limited to one year.
Predefined secondary analyses
There will be subanalyses from the same cohort, as defined below:
Estimated number of subjects to be submitted:
We estimated that the enrollment of 621 participants would provide the study with a statistical power of 95% to detect a relative risk reduction of 26% (hazard ratio [HR] = 0.74) for the composite primary outcome (PVP-guided group: 40%, standard approach: 50%), using a two-sided test at the 0.05 significance level. This calculation assumes a 10% censoring rate and a 1-year follow-up period. The weighted event rate (πe=45%) was used to estimate the required number of events. To account for potential loss to follow-up and ensure robust analysis, the sample size was increased to 650 participants, maintaining equal allocation between groups (1:1 randomization).
Statistical Analysis Baseline characteristics will be summarized using standard descriptive statistics. Comparisons of relevant parameters between groups will be performed by chi-square, Fisher's exact test, Mann-Whitney U and student t-test, as appropriate. Kaplan-Meier analysis will be performed to determine the cumulative long-term mortality and composite outcome rates in subgroups. The mortality across groups will be compared using log-rank test. A Cox-regression model will be used to perform a survival analysis according to pre-discharge peripheral venous pressure and composite outcome. Baseline characteristics with a P value of 0.05 or less in the univariate analysis will be included and a step-down procedure will be applied for selection of final covariates. Statistical analyses will be performed with SPSS (version 24.0; SPSS Inc., Chicago, IL) and MedCalc Software (version 18.2.1 [Evaluation version]; MedCalc Software, Ostend, Belgium).
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650 participants in 2 patient groups
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Özlem Yıldırımtürk, Prof; Emre K Aslanger, Prof
Data sourced from clinicaltrials.gov
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