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Quality of care assessment and adherence to the international guidelines considering dialysis, water treatment, and protection against transmission of infections in university hospital‐based dialysis units in Cairo, Egypt

2009· article· en· W2144644968 on OpenAlexvenueno aff
Salwa Ibrahim

Bibliographic record

VenueHemodialysis International · 2009
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
FundersCenters for Disease Control and Prevention
KeywordsMedicineHemodialysisDialysisNephrologyDialysis adequacyInternal medicineEnd stage renal diseaseIntensive care medicineKidney diseaseRenal replacement therapyArteriovenous fistulaSurgery

Abstract

fetched live from OpenAlex

End-stage renal disease has emerged as a major public health problem around the world. In recent decades, several important advances have been made in the therapy of hemodialysis (HD) with the introduction of international guidelines to ensure the delivery of optimum care to HD patients. An increased mortality risk in HD patients unable to meet six targets in different areas of HD practice has been reported by the Dialysis Outcomes and Practice Patterns Study investigators. In this retrospective study, we assessed the current practice patterns of care for HD patients in the Kaser El-Aini Nephrology and Dialysis Center in comparison with Dialysis Outcomes Quality Initiative Guidelines, European Best Practice Guidelines, Centers for Disease Control and Prevention guidelines for prevention of transmission of infections among HD patients, and American Association for Medical Instrumentation (AAMI) standards for dialysis water quality. The mean percent of urea reduction was 63 +/- 8.8% in prevalent HD patients. An arteriovenous fistula was the vascular access in 91% of prevalent HD patients, whereas a temporary catheter was used in 9% of cases mostly as a bridge till arteriovenous fistula creation/maturation. Bicarbonate was the base used in 80% of the cases. Ninty-seven percent patients had thrice-weekly sessions and 3% had two dialysis sessions/wk. The mean serum albumin was 4.19 +/- 0.39 g/dL; 66.66% of prevalent patients had serum albumin level >4 g/dL. The mean serum calcium was 8.66 +/- 1.4 mg/dL, phosphorus was 6.26 +/- 2.54 mg/dL, and approximately 60% of patients had a serum phosphorus level >5.5 mg/dL. The CaxPi product was higher than 55 in around 40% of the cases, and the parathyroid hormone level was in the range of 150 to 300 pg/mL in around 10% of prevalent patients. The mean hemoglobin was 9.23 +/- 7.18 g/dL in prevalent cases; around 70% of cases had a hemoglobin level <11 g/dL. Iron deficiency was prevalent as 18% of patients, with serum ferritin <200 ng/L, and 34% had total serum test <20%. Seventy percent of the patients were hepatitis C virus positive and 4% were hepatitis B surface antigen positive, and all were negative for the human immunodeficiency virus serological test. Dialysis water was monitored regularly for chemical and bacterial contamination as recommended by the American Association for Medical Instrumentation, but an endotoxin assay is currently not included in the monitoring checklist. The annual mortality rate was 8% in 2007. The current audit revealed a reasonable quality of care for HD patients in the fields of vascular access care, dialysis adequacy, and nutrition areas. It also reveals the need for improving anemia management and control of hyperphosphatemia with dietary counseling and more frequent dialysis. To fully meet the guideline targets, each patient should be treated in an individualized way with more counseling, nutritional education, and individualized dialysis prescription. Besides, the unit needs to adopt primary and secondary intervention strategies to prevent and promptly correct any deviation from the desired targets.

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)0.007
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 score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.330
Teacher spread0.283 · 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

Citations25
Published2009
Admission routes1
Has abstractyes

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