Question · asked by 1 review

HFNC vs NIPPV or NIV: In‐hospital mortality (up to 90 days; included studies reported in‐hospital mortality, and mortality up to 28 days and up to ICU discharge)

HFNC showed no clear difference in in‐hospital mortality (up to 90 days; included studies reported… compared with NIPPV or NIV (low certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
HFNC vs NIPPV or NIV
In‐hospital mortality (up to 90 days; included studies reported in‐hospital mortality, and mortality up to 28 days and up to ICU discharge) · adults in the ICU, requiring respiratory support
HFNC showed no clear difference in in‐hospital mortality (up to 90 days; included studies reported… compared with NIPPV or NIV (low certainty).
High‐flow nasal cannulae for respiratory support in adult intensive care patients (2021) · Cochrane Headline outcomes only
RR 0.92 [0.64, 1.31]5 studies · 1758 participantsLow
HFNC vs NIPPV or NIV
In‐hospital mortality (up to 90 days; included studies reported in‐hospital mortality, and mortality up to 28 days and up to ICU discharge) · adults in the ICU, requiring respiratory support
HFNC showed no clear difference in in‐hospital mortality (up to 90 days; included studies reported… compared with NIPPV or NIV (low certainty).
High‐flow nasal cannulae for respiratory support in adult intensive care patients (2017) · Cochrane Headline outcomes onlyearlier version CD010172.PUB2, superseded
RR 0.92 [0.64, 1.31]5 studies · 1758 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
High‐flow nasal cannulae for respiratory support in adult intensive care patients
2021 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.