Evidence map›Paper›PMID 31376030›Full record

ArticleJournal of clinical monitoring and computing2020

Continuous hemoglobin and plethysmography variability index monitoring can modify blood transfusion practice and is associated with lower mortality.

Jérôme Cros, François Dalmay, Sandra Yonnet, Matthieu Charpentier, Jessica Tran-Van-Ho, François Renaudeau, Anais Drouet, Pierre Guilbaut, Benoit Marin, Nathalie Nathan

Abstract read
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In one paragraph

Article in Journal of clinical monitoring and computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. What is new in microcirculation and tissue oxygenation monitoring?Journal of clinical monitoring and computing · 2022
    Review
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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

10 authors.

Jérôme CrosDépartement d'Anesthésie Réanimation, CHU Dupuytren, 2 Avenue Martin Luther King, 87042, Limoges, France. jerome.cros@chu-limoges.fr.ORCID http://orcid.org/0000-0001-7413-9433
François DalmayINSERM, U1094, Neuroépidémiologie Tropicale, 87000, Limoges, France.
Sandra YonnetSIME, CHU Limoges, and Faculté de Médecine, Limoges, France.
Matthieu CharpentierDépartement d'Anesthésie Réanimation, CHU Dupuytren, 2 Avenue Martin Luther King, 87042, Limoges, France.
Jessica Tran-Van-HoDépartement d'Anesthésie Réanimation, CHU Dupuytren, 2 Avenue Martin Luther King, 87042, Limoges, France.
François RenaudeauDépartement d'Anesthésie Réanimation, CHU Dupuytren, 2 Avenue Martin Luther King, 87042, Limoges, France.
Anais DrouetDépartement d'Anesthésie Réanimation, CHU Dupuytren, 2 Avenue Martin Luther King, 87042, Limoges, France.
Pierre GuilbautDépartement d'Anesthésie Réanimation, CHU Dupuytren, 2 Avenue Martin Luther King, 87042, Limoges, France.
Benoit MarinINSERM, U1094, Neuroépidémiologie Tropicale, 87000, Limoges, France.
Nathalie NathanDépartement d'Anesthésie Réanimation, CHU Dupuytren, 2 Avenue Martin Luther King, 87042, Limoges, France. nathalie.nathan-denizot@chu-limoges.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the effect of implementing an algorithm of fluid and blood administration based on continuous monitoring of hemoglobin (SpHb) and PVI (plethysmography variability index) on mortality and transfusion on a whole hospital scale. This single-center quality program compared transfusion at 48 h and mortality at 30 days and 90 days after surgery between two 11-month periods in 2013 and 2014 during which all the operating and recovery rooms and intensive care units were equipped with SpHb/PVI monitors. The entire team was trained to use monitors and the algorithm. Team members were free to decide whether or not to use devices. Each device was connected to an electronic wireless acquired database to anonymously acquire parameters on-line and identify patients who received the monitoring. All data were available from electronic files. Patients were divided in three groups; 2013 (G1, n = 9285), 2014 without (G2, n = 5856) and with (G3, n = 3575) goal-directed therapy. The influence of age, ASA class, severity and urgency of surgery and use of algorithm on mortality and blood use were analyzed with cox-proportional hazard models. Because in 2015, SpHb/PVI monitors were no longer available, we assessed post-study mortality observed in 2015 to measure the impact of team training to adjust vascular filling on a patient to patient basis. During non-cardiac surgery, blood was more often transfused during surgery in G3 patients as compared to G2 (66.6% vs. 50.7%, p < 0.001) but with fewer blood units per patient. After adjustment, survival analysis showed a lower risk of transfusion at 48 h in G3 [OR 0.79 (0.68-0.93), p = 0.004] but not in G2 [OR 0.90 (0.78-1.04) p = 0.17] as compared to G1. When adjusting to the severity of surgery as covariable, there was 0.5 and 0.7% differences of mortality at day 30 and 90 whether patients had goal directed therapy (GDT). After high risk surgery, the mortality at day 30 is reduced by 4% when using GDT, and 1% after intermediate risk surgery. There was no difference for low risk surgery. G3 Patients had a lower risk of death at 30 days post-surgery [OR 0.67 (0.49-0.92) p = 0.01] but not G2 patients [OR 1.01, (0.78-1.29), p = 0.96]. In 2015, mortality at 30 days and 90 days increased again to similar levels as those of 2013, respectively 2.18 and 3.09%. Monitoring SpHb and PVI integrated in a vascular filling algorithm is associated with earlier transfusion and reduced 30 and 90-day mortality on a whole hospital scale.

Indexed as

Erythrocyte TransfusionAdultAgedAlgorithmsBlood TransfusionComparative Effectiveness ResearchFemaleHemoglobinsHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedMonitoring, IntraoperativeMonitoring, PhysiologicMultivariate AnalysisHemoglobinsHemoglobinMortalityPlethysmography variability indexTransfusionVolemia

Identifiers

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Registered trials

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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.