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Record W2142267463 · doi:10.4212/cjhp.v57i1.347

Peripheral Intravenous Infusion of Potassium Chloride: Effect of Solution Composition on Infusion-Site Pain

2004· article· en· W2142267463 on OpenAlexafffundvenue
Rita Chan, David Armstrong

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2004
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsMcMaster UniversityHamilton Health Sciences
FundersMcMaster University
KeywordsSodiumPotassiumSalineAnesthesiaSterile waterMedicineChlorideChemistry

Abstract

fetched live from OpenAlex

ABSTRACT Objective: To test the hypothesis that pain at the site of peripheral intravenous infusion is greater if potassium chloride is administered in sterile water than if it is administered in saline. Methods: A randomized, double-blind study of infusion-site pain was completed with 36 hospital inpatients with hypokalemia who required 1, 2, or 3 peripheral intravenous infusions of potassium chloride (10 mmol) in 100 mL of IV fluid. Patients were randomly assigned to 1 of 3 groups and were administered potassium chloride in 1 of 3 infusion fluids: sterile water, 0.9% sodium chloride, or 0.45% sodium chloride. Patients rated the degree of pain at the injection site using a 10-point numeric rating scale before the start, at 15 min after the start, and at the end of each of the 3 infusions. Results: Baseline mean pain scores were similar for all groups. Pain scores in the sterile water group at the end of first, second, and third infusions were significantly higher than those in the 0.9% sodium chloride group (p = 0.003, p = 0.003, p = 0.043, respectively), and were also significantly higher than those in the 0.45% sodium chloride group at the end of first and second infusions only (p = 0.003, p = 0.007, respectively) There were no significant differences between the 0.9% and 0.45% sodium chloride groups. Conclusion: Peripheral intravenous infusion of potassium chloride produces significantly more pain at the infusion site when administered in sterile water than in saline. RESUME Objectif : Verifier l’hypothese selon laquelle la douleur au point de perfusion intraveineuse par voie peripherique est plus prononcee si le chlorure de potassium est administre dans de l’eau sterile plutot que dans une solution saline. Methodes : Une etude randomisee, a double insu, sur la douleur au point de perfusion a ete menee a terme aupres de 36 patients hospitalises, presentant une hypokaliemie necessitant une, deux ou trois perfusions intraveineuses par voie peripherique de chlorure de potassium (10 mmol) dans 100 mL de liquide pour perfusion intraveineuse. Les patients ont ete repartis au hasard dans l’un des trois groupes de solution pour perfusion : eau sterile, chlorure de sodium a 0,9 % ou chlorure de sodium a 0,45 %. Les patients ont evalue leur douleur au point de perfusion a l’aide d’une echelle de 1 a 10, avant le debut de chaque perfusion, a 15 minutes apres le debut de chaque perfusion et a la fin de chaque perfusion. Resultats : Les cotes moyennes initiales etaient semblables dans les trois groupes. Les cotes dans le groupe eau sterile a la fin de la premiere, de la deuxieme et de la troisieme perfusion etaient considerablement plus elevees que celles dans le groupe chlorure de sodium a 0,9 % (p = 0,003, p = 0,003, p = 0,043, respectivement), et que celles dans le groupe chlorure de sodium a 0,45 %, a la fin de la premiere et de la deuxieme perfusion (p = 0,003, p = 0,007, respectivement). On n’a observe aucune difference significative entre le groupe chlorure de sodium a 0,9 % et le groupe chlorure de sodium a 0,45 %. Conclusion : La perfusion intraveineuse par voie peripherique de chlorure de potassium est considerablement plus douloureuse au point de perfusion lorsqu’on utilise de l’eau sterile plutot qu’une solution saline.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.260
Teacher spread0.249 · 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 designObservational
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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Citations2
Published2004
Admission routes3
Has abstractyes

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