Evidence map›Paper›PMID 32472978›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2020

Association of pulse pressure, pulse pressure index, and ambulatory arterial stiffness index with kidney function in a cross-sectional pediatric chronic kidney disease cohort from the CKiD study.

Rupesh Raina, Shyam Polaconda, Nikhil Nair, Ronith Chakraborty, Sidharth Sethi, Vinod Krishnappa, Gaurav Kapur, Maroun Mhanna, Kirsten Kusumi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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

The trial behind it

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 7 institutions in 2 countries.

Rupesh RainaDepartment of Pediatric Nephrology, Akron Children's Hospital, Akron, Ohio, USA.ORCID 0000-0003-3892-8376
Shyam PolacondaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Nikhil NairDepartment of Chemistry, Case Western Reserve University, Cleveland, Ohio, USA.
Ronith ChakrabortyAkron Nephrology Associates, Cleveland Clinic Akron General, Akron, Ohio, USA.ORCID 0000-0003-1865-9682
Sidharth SethiDepartment of Pediatric Nephrology, Medanta, The Medicity, Gurgaon, India.ORCID 0000-0002-1516-3393
Vinod KrishnappaConsortium of Eastern Ohio Master of Public Health student, Northeast Ohio Medical University, Rootstown, Ohio, USA.ORCID 0000-0002-1697-4526
Gaurav KapurDivision of Pediatric Nephrology and Hypertension, Carman and Ann Adams Department of Pediatrics, Children's Hospital of Michigan, Wayne State University, Detroit, Michigan, USA.
Maroun MhannaDepartment of Pediatrics, MetroHealth, Cleveland, Ohio, USA.
Kirsten KusumiDepartment of Pediatric Nephrology, Akron Children's Hospital, Akron, Ohio, USA.ORCID 0000-0003-3099-2226
Case Western Reserve University · USCleveland Clinic · USAkron Children's Hospital · USMedanta The Medicity · INMetroHealth · USNortheast Ohio Medical University · USWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The morbidity and mortality of adult and pediatric chronic kidney disease (CKD) and end-stage renal disease (ESRD) populations are mainly driven by cardiovascular disease (CVD). Improving CVD outcomes focuses on risk assessment of factors including diastolic blood pressure (DBP), systolic blood pressure (SBP), left ventricular mass index (LVMI), pulse pressure (PP), and pulse pressure index (PPi), which is calculated as PP/SBP. These markers are also proven predictors of CKD progression; however, their role in children has not been established. This study aims to evaluate the relationship between PP, PPi, ambulatory arterial stiffness index (AASI), and proteinuria with kidney function in pediatric CKD patients; it is a retrospective analysis of 620 patients (1-16 years) from the NIDDK Chronic Kidney Disease in Children (CKiD) registry. The authors analyzed data for three separate cohorts: an overall CKD as well as immunological versus non-immunological cause for CKD groups. An inverse relationship was found between SBP, DBP, and PP with iGFR and LVMI in the overall CKD group. Our immunological CKD subgroup showed significantly higher serum creatinine, SBP, DBP, and PP values with significantly lower serum albumin levels compared to the non-immunological group. There were no significant differences with iohexol-based glomerular filtration rate (iGFR), LVMI, PPi, or high-sensitivity C-reactive protein (hs-CRP) between the two groups. A subgroup analysis demonstrated that SBP, DBP, and PP all correlated significantly with LVMI in the immunological CKD patients but not the non-immunological subgroup. Additionally, AASI data in the overall CKD population were significantly correlated with PP, PPi, and DBP. This study is one of the first to correlate noninvasive measurements of vascular compliance including PP, PPi, and AASI with iGFR and LVMI in a pediatric CKD cohort. Improving our understanding of surrogate markers for early CVD is integral to improving the care of pediatric CKD population as these patients have yet to develop the hard end points of ESRD, heart failure, myocardial infarction, or stroke.

Indexed as

HypertensionRenal Insufficiency, ChronicVascular StiffnessAdultBlood PressureChildCross-Sectional StudiesHumansRetrospective StudiesRisk FactorsAASIchronic kidney diseaseinflammationpulse pressurepulse pressure index

Identifiers

PMID32472978
PMCPMC8029838
OpenAlexW3032175064

What OpenQuestion holds

Textmetadata
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.