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Record W2103882408 · doi:10.2215/cjn.09210914

Outcomes of Infection-Related Hospitalization according to Dialysis Modality

2015· article· en· W2103882408 on OpenAlexaffabout
Louis‐Philippe Laurin, Hind Harrak, Naoual Elftouh, Denis Ouimet, Michel Vallée, Jean‐Philippe Lafrance

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2015
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsMedicineHemodialysisDialysisPropensity score matchingConfidence intervalPeritoneal dialysisProportional hazards modelRetrospective cohort studyInternal medicineSurgeryHazard ratioLogistic regression

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Peritoneal dialysis (PD) is associated with an increased risk of infection-related hospitalization (IRH) compared with hemodialysis. The objective of this study was to compare mortality and overall readmission after an IRH between PD and hemodialysis. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This propensity score-matched retrospective cohort study assessed patients undergoing long-term dialysis patients, derived from the Canadian Organ Replacement Register and Régie de l'assurance maladie du Québec, who had at least one IRH between January 2001 and December 2007. Patients were followed until death, kidney transplantation, or end of the study period. To estimate the probability of receiving PD versus hemodialysis, propensity scores were obtained using multivariable logistic regression. Mortality and overall readmission risks after the initial IRH were compared using a Cox survival model. RESULTS: A total of 354 pairs of patients who had at least one IRH were matched for propensity score. During follow-up (median, 1.25 years), 138 hemodialysis patients (24.7/100 patient-years; 95% confidence interval [95% CI], 20.7 to 29.1) and 130 PD patients (21.2/100 patient-years; 95% CI, 17.7 to 25.1) died; 265 hemodialysis patients (144.6/100 patient-years; 95% CI, 127.7 to 163.1) and 299 PD patients (173.2/100 patient-years; 95% CI, 154.1 to 194.0) were readmitted for any cause; and 121 hemodialysis patients (29.7/100 patient-years; 95% CI, 24.7 to 35.5) and 168 PD patients (44.7/100 patient-years; 95% CI, 38.2 to 52.0) were readmitted for an infection. Compared with hemodialysis, PD was not associated with a different mortality risk after an IRH (hazard ratio [HR], 0.87; 95% CI, 0.69 to 1.11). PD was associated with a higher risk of infection-related overall readmission compared with hemodialysis (HR, 1.44; 95% CI, 1.14 to 1.81), but not with the risk of all-cause overall readmission (HR, 1.15; 95% CI, 0.98 to 1.36). CONCLUSIONS: PD was not associated with higher mortality or all-cause overall readmission following an IRH compared with hemodialysis, but PD patients were at higher risk of infection-related overall readmission after IRH. IRHs are associated with significant mortality and overall readmissions. Evaluation of strategies to reduce infections in both hemodialysis and PD recipients are needed to improve patient care and outcomes.

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.053
GPT teacher head0.384
Teacher spread0.332 · 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".

Quick stats

Citations55
Published2015
Admission routes2
Has abstractyes

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