Evidence map›Paper›PMID 27943168›Full record

ArticleInternational urology and nephrology2017

Hemodialysis-induced repolarization abnormalities on ECG are influenced by serum calcium levels and ultrafiltration volumes.

Hande Ozportakal, Abdullah Ozkok, Ozlem Alkan, Ahmet Sait Bulut, Memduha Boyraz, Mehmet Inanir, Goksel Acar, Ali Riza Odabas

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Article in International urology and nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Hande OzportakalDepartment of Internal Medicine and Nephrology, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Abdullah OzkokDepartment of Internal Medicine and Nephrology, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey. abdullahozkok@yahoo.com.
Ozlem AlkanDepartment of Internal Medicine and Nephrology, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Ahmet Sait BulutDepartment of Internal Medicine and Nephrology, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Memduha BoyrazDepartment of Internal Medicine and Nephrology, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Mehmet InanirDepartment of Cardiology, Kartal Kosuyolu High Speciality Education and Research Hospital, Istanbul, Turkey.
Goksel AcarDepartment of Cardiology, Kartal Kosuyolu High Speciality Education and Research Hospital, Istanbul, Turkey.
Ali Riza OdabasDepartment of Internal Medicine and Nephrology, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Istanbul Medeniyet University · TRKartal Koşuyolu High Specialization Training and Research Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHemodialysis (HD) patients are known to have high cardiovascular mortality rate. Sudden cardiac death (SCD) due to arrhythmias causes most of the cardiac deaths. HD per se may lead to ECG abnormalities and ventricular arrhythmias. Monitoring ECG parameters such as corrected QT interval, QT dispersion (QTd), Tpe interval may be useful to stratify the patients with high risk of arrhythmia and SCD. Herein we aimed to investigate the effects of changes in serum electrolyte levels and pH on ECG parameters before and after the HD.

methodsA total of 50 chronic HD patients (mean age 58 ± 19; male 27) were enrolled. Patients with unmeasurable T waves; atrial fibrillation; bundle branch block; use of class I or class III antiarrhythmic drugs were excluded. Serum potassium, magnesium, calcium, urea, creatinine and pH were measured before and after HD treatment. Standard surface 12-lead ECGs were recorded before and after HD. QTc, QTd, Tpe, JT interval, P-wave-duration, P-wave dispersion were determined.

resultsSerum potassium and magnesium decreased, and calcium, pH and bicarbonate levels increased; QRS and Tpe interval were increased after HD. Basal Tpe was correlated with urea (r = 0.31, p = 0.02). Tpe interval was higher in hypocalcemic compared to normocalcemic patients (77 ± 11 vs 70 ± 9 ms, p = 0.02). ∆Tpe was correlated with ∆calcium (r = -0.32, p = 0.02). Basal QTc was correlated with calcium (r = -0.62, p < 0.001). ∆QTc was correlated with basal calcium (r = 0.39, p = 0.005) and ∆calcium (r = -0.46, p < 0.001). Basal JT was correlated with calcium (r = -0.55, p < 0.001). ∆JT was correlated with pH (r = 0.35, p = 0.01), ∆calcium (r = -0.53, p < 0.001) and ∆magnesium (r = -0.30, p = 0.03). Before HD, 12 patients (12%) were hypermagnesemic of whom JT intervals were lower (314 ± 20 vs 332 ± 23 ms, p = 0.02). Ultrafiltration per body weight was associated with ∆QTc (r = -0.40, p = 0.007) and ∆JT (r = -0.36, p = 0.01).

conclusionQRS and Tpe intervals were increased after HD. Tpe interval was longer in hypocalcemic patients. Change in Tpe was negatively associated with the change in calcium. Ultrafiltration was associated with ∆QTc and ∆JT. Calcium and ultrafiltration seem to be the most important determinants of ECG parameters of HD-induced repolarization abnormalities.

Indexed as

AdultAgedBicarbonatesCalciumCreatinineElectrocardiographyElectrolytesFemaleHeartHumansHydrogen-Ion ConcentrationMagnesiumMaleMiddle AgedPotassiumRenal DialysisBicarbonatesCalciumCreatinineElectrolytesMagnesiumPotassiumUreaArrhythmiaCalciumHemodialysisJT intervalQT intervalTpe intervalUltrafiltration

Identifiers

PMID27943168
OpenAlexW2560323427

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.