Evidence map›Paper›PMID 28207795›Full record

Observational studyPloS one2017

Organ dysfunction during continuous veno-venous high cut-off hemodialysis in patients with septic acute kidney injury: A prospective observational study.

Gianluca Villa, Cosimo Chelazzi, Elena Morettini, Lucia Zamidei, Serafina Valente, A Lucia Caldini, Giovanni Zagli, A Raffaele De Gaudio, Stefano Romagnoli

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Blood purification for sepsis: an overview.Precision clinical medicine · 2021
    Review
  9. Observational
  10. Review
  11. Review
  12. Article
  13. Review
  14. Renal Replacement Therapy in the Critical Care Setting.Critical care research and practice · 2019
    Review
  15. Review
  16. Haemodialysis membranes.Nature reviews. Nephrology · 2018
    Review
  17. Article
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 3 institutions in 1 country.

Gianluca VillaDepartment of Health Science, Section of Anesthesiology and Intensive Care, University of Florence, Florence, Italy.ORCID http://orcid.org/0000-0003-4274-3593
Cosimo ChelazziDepartment of Health Science, Section of Anesthesiology and Intensive Care, University of Florence, Florence, Italy.
Elena MorettiniDepartment of Health Science, Section of Anesthesiology and Intensive Care, University of Florence, Florence, Italy.
Lucia ZamideiAnesthesia and Intensive Care Unit, Ospedale Santo Stefano, Prato, Italy.
Serafina ValenteIntensive Cardiac Coronary Unit, Heart and Vessel Department, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
A Lucia CaldiniClinical Chemistry Laboratory, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
Giovanni ZagliDepartment of Health Science, Section of Anesthesiology and Intensive Care, University of Florence, Florence, Italy.
A Raffaele De GaudioDepartment of Health Science, Section of Anesthesiology and Intensive Care, University of Florence, Florence, Italy.
Stefano RomagnoliDepartment of Health Science, Section of Anesthesiology and Intensive Care, University of Florence, Florence, Italy.
Azienda Ospedaliero-Universitaria Careggi · ITOspedale di Prato Santo Stefano · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous veno-venous hemodialysis with high cut-off membranes (HCO-CVVHD) removes inflammatory mediators involved in organ dysfunction during sepsis. The aim of the present study was to assess the variations in SOFA score and identify early predictors of short-term mortality in a cohort of patients with septic shock, treated with HCO-CVVHD for acute kidney injury (AKI).

methodsAn observational prospective multicenter cohort study was conducted in four mixed medical-surgical ICUs. Thirty-eight patients with septic shock and AKI (KDIGO stage≥1) treated with HCO-CVVHD have been included in this study. Patients were divided into Survivors and non-Survivors according to mortality observed at 72nd hr of treatment. The variation of SOFA scores and clinical/biochemical parameters were described over time for the entire population and specifically for Survivors and non-Survivors. Similarly, circulating inflammatory mediators (as IL-6, TNF-a and IL-10) were described over time. A logistic regression analysis was used to identify the baseline clinical and biochemical parameters associated with 72 hrs-ICU mortality.

resultsOverall, the mean SOFA score was 12±3 at baseline, 10.9±3 at 6hrs, 9.8±3 at 12hrs, 8.9±3.3 at 24 hrs, and 8±3.5 at 48 hrs after HCO-CVVHD initiation; and 6.5±2.7 at 24 hrs and 6.6±3 at 48 hrs after HCO-CVVHD discontinuation. In the multivariate regression analysis, baseline serum lactate levels and AKI stage independently correlated with short-term mortality during HCO-CVVHD. A significant reduction was observed in circulating levels of TNFα and IL-6 among Survivors.

conclusionsSOFA score significantly decreased early after initiation of HCO-CVVHD in patients with septic AKI. Baseline lactate levels and the AKI stage resulted to be associated to 72 hrs-ICU-mortality.

Indexed as

Acute Kidney InjuryAdolescentAdultAgedAged, 80 and overFemaleHemofiltrationHumansIntensive Care UnitsMaleMiddle AgedMultiple Organ FailureProspective StudiesRenal DialysisShock, SepticYoung Adult

Identifiers

PMID28207795
PMCPMC5313216
OpenAlexW2588188134

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.