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Therapeutic Role of HAT Therapy in Sepsis: A Systematic Review and Meta-Analysis

2024· review· en· W4391169632 on OpenAlexaff
Fatemeh Saghafi, Zahra Boostani Moghadam, Amin Salehi‐Abargouei, Sara Beigrezaei, Seyed Mojtaba Sohrevardi, Tannaz Jamialahmadi, Adeleh Sahebnasagh, Amirhossein Sahebkar

Bibliographic record

VenueCurrent Medicinal Chemistry · 2024
Typereview
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsThrombosis and Atherosclerosis Research InstituteWestern University
FundersShahid Sadoughi University of Medical Sciences
KeywordsMeta-analysisSepsisMedicineIntensive care medicineMEDLINEInternal medicineChemistry

Abstract

fetched live from OpenAlex

BACKGROUND: This systematic review and meta-analysis aimed to determine whether the combination of hydrocortisone, vitamin C (ascorbic acid), and thiamine (HAT therapy) diminishes the mortality and is effective in expediting the resolution of sepsis and septic shock or not. METHODS: The following databases of PubMed, Scopus, ISI Web of Science, and Google Scholar were explored until March 2021 for all existing literature related to this field. An automatic alert for all databases was also activated to update our search. Meta-analysis was performed on clinical trials and cohorts separately as well as on all the pooled populations. RESULTS: This study evaluated nine clinical trials (1358 participants) and nine cohorts (339,437 participants) and is the most comprehensive systematic review in this field. The results of our meta-analysis demonstrated a significant difference in the reduction of Sepsis-Related Organ Failure Assessment (SOFA) score changes (Δ-SOFA) over 72 h (Standard Mean Difference (SMD) = -0.429; 95% CI: -0.737, 0.120; p = 0.006), duration of vasopressor (VP) (SMD = -0.373; 95% CI: -0.619, -0.128; p = 0.003), and procalcitonin (PCT) clearance (SMD = 0.496; 95% CI: 0.061, 0.931%; p = 0.026). Considering the results of cohorts, HAT therapy was effective in the survival of intensive care units (ICUs) patients (OR = 0.641; 95% CI: 0.423-0.970, p = 0.035). However, no significant difference was observed between the intervention and control groups in hospital mortality (Odds Ratio (OR) = 0.811, 95% CI: 0.544-1.209, p = 0.304), 28- to 30-day mortality (OR = 1.000; 95% CI: 0.782-1.279, p = 0.998), new onset acute kidney injury requiring renal replacement therapy ((OR = 0.856, 95% CI: 0.526, 1.391; p = 0.529), in-hospital length of stay (LOS) (SMD = 0.090; 95% CI: -0.036, 0.216 days; p = 0.162), LOS in ICU (SMD = 0.016, 95% CI: -0.138, 0.170 days; p = 0.838), and mechanical ventilation-free days (SMD = 0.004; 95% CI: -0.154, 0.163 days; p = 0.956). CONCLUSION: Supplementation of septic and septic shock patients with HAT therapy has significant beneficial effects on SOFA score over 72 hours, duration of exogenous vasopressor infusion and procalcitonin clearance. Considering the results of cohort studies, supplementation with HAT is efficacious in reducing ICU mortality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.034
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.047
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.142
GPT teacher head0.442
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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