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Mild Permissive Alkalosis Improves Outcomes in Porcine Negative Pressure Ventilation Ex-Situ Lung Perfusion

2024· article· en· W4404885777 on OpenAlexaff
Keir Forgie, Abeline R. Watkins, Katie Du, A. Ribano, Nicholas M. Fialka, Sayed Himmat, Sanaz Hatami, Mubashir Khan, Xiuhua Wang, Ryan Edgar, Katie‐Marie Buswell‐Zuk, Darren H. Freed, Jayan Nagendran

Bibliographic record

VenueTransplantation Proceedings · 2024
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePerfusionAnesthesiaRespiratory alkalosisMetabolic alkalosisVentilation (architecture)LungCardiologyInternal medicineMetabolic acidosis

Abstract

fetched live from OpenAlex

• Refinement of ESLP methodology is essential to optimize the clinical and research applications of this technology: Mild permissive alkalosis porcine NPV-ESLP demonstrated more reliable preservation with reduced inflammation compared to a physiologic pH strategy. • Here we demonstrate that manipulation of key variables in ex-situ organ perfusion to intentionally deviate from physiologic targets may in select instances improve organ function and preservation beyond a steadfast replication of normal physiology, which is the standard approach in ESLP. • The increased stability of ESLP lung function with the strategic application of mild permissive alkalosis during preservation has allowed our lab to achieve reliable, continuous ESLP of 36-hours. This is essential for the prolong dwell-time required for advanced therapeutics to improve marginal quality donor lungs and increase the donor pool of useable organs for transplant. Ex-Situ Lung Perfusion (ESLP) employs a membrane deoxygenator and mixed (N 2 /O 2 /CO 2 ) or pure sweep gas (CO 2 ) to target venous blood gas composition with physiologic pCO 2 and pH. Clinically, mild permissive alkalosis counteracts elevated pulmonary vascular resistance (PVR) to improve perfusion. Increased PVR and pulmonary artery pressure (PAP) during ESLP mirrors rising pro-inflammatory cytokines. Increased hydrostatic pressure worsens edema and lung function. We report improved ESLP outcomes using mild permissive alkalosis. Twelve juvenile pig lungs underwent 12-hour Negative Pressure Ventilation (NPV)-ESLP with a physiologic pH (Control: pH 7.35-7.45, n=6) or mild permissive alkalosis (pH+: pH 7.45-7.55, n=6) by varying sweep CO 2 delivery. Three left lungs per group were transplanted and assessed over 4-hours. Five Control lungs failed on ESLP due to high PAPs, low compliance, and poor oxygenation. Repeat Controls (n=6) were performed to attain 12-hours of ESLP. There were no failures in the pH+ group. Results are pH+ vs Control. Oxygenation (PaO 2 /FiO 2 454.2 vs 438.2; P = .37) and dynamic compliance (21.38 vs 22.22 mL/cmH 2 O; P = .41) were stable over 12-hour NPV-ESLP. Mean evaluation pH/pCO 2 /HCO 3 - was 7.50/15.6/14.5 vs 7.41/38.7/24.7. Control lungs required repeat THAM and milrinone boluses on ESLP to prevent acidosis and treat elevated PVR; this was not necessary in the pH+ group. Weight-gain/hour was similar (1.23% vs 1.38%; P = .37). Mean left lung PF ratios 4-hours post-transplantation were 301 mmHg vs 196 mmHg ( P = .11). Control TNF-⍺ and IL-6 perfusate concentrations were significantly greater. Mild permissive alkalosis porcine NPV-ESLP demonstrated more reliable preservation with reduced inflammation compared to a physiologic pH strategy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.277
Teacher spread0.266 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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