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Record W4319919013 · doi:10.53350/pjmhs20221612537

Incidence of Acute Kidney Injury (AKI) Secondary to Acute Gastroenteritis in Patients Presenting to Ayub Teaching Hospital, Abbottabad

2022· article· en· W4319919013 on OpenAlexaff
Nighat Jamal, Faizan Banaras, Mahnoor Ashfaq, Tehrim Tahir, Iqra Jadoon, Ali Raza

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsMedicineAcute kidney injuryRenal functionCreatinineIncidence (geometry)UrineRenal replacement therapyKidneyInternal medicine

Abstract

fetched live from OpenAlex

Background: Acute kidney injury is a decrease in kidney functions that results in reduced glomerular filtration rate, retention of nitrogenous waste products, and disturbances of extracellular volume and electrolytes. The incidence of acute kidney injury is about 20-200 per million, about 7-18% of patients in a hospital.2 Acute diarrheal diseases are one of the important causes of preventable acute kidney injury. Improper fluid deficit restoration in diarrheal diseases results in acute kidney injury, manifested as decreased renal function and a rise in serum creatinine level with or without reducing urine output. The injury may range from mild to severe renal dysfunction; sometimes requiring renal replacement therapy.4The rapid and effective restoration of extracellular fluid can prevent acute kidney injury. Materials and Methods: An observational cross-sectional Study, among patients with acute diarrheal illnesses presented to all medical units (A, B, C &D) and the emergency department of Ayub Teaching Hospital, Abbottabad. A total of 140 patients presented in 3 months duration from 1st July – 30th Sep 2022. Data were analyzed by using SPSS 16 Results: In the sample size of 140 patients, the minimum age was 14 years and the maximum age was 70 with a mean of 38 years with a standard deviation of +/- 14 y. Among 140, 80 patients were male and 60 patients were female. Out of 140 patients, 47 were having hypertension, 19 were diabetic and 16 were known, cardiac patients. Urine output of 13 (9.3%) patients was less than 100ml/day, while 46 (32.9%) patients were having 100-400ml/day, 37 (26.4%) patients was having 400-1200ml/day and 44 (31.4%) patients had greater than 1200ml/day. The serum creatinine level was greater than 2.8mg/dl (more than 2 times normal) in 35 patients (25%), and 18 patients were having creatinine levels in the range of 1.5-2.8mg/dl (up to 2 times greater than normal) and 87 patients had creatinine levels in the normal range (0.7-1.4mg/dl). Out of 140 patients, 41 (29.3%) presented to the tertiary care hospital in shock (systolic blood pressure less than 90mmhg), 96 (68.6%) were normotensive and 3 (2.1%) patients were hypertensive. Conclusion: The incidence of acute kidney injury in patients presenting with acute gastroenteritis to a tertiary care hospital is 25%, due to hypovolemia caused by fluid losses in acute diarrheal illnesses. It can be prevented by prompt diagnosis and treatment by fluid administration. Keywords: Acute kidney injury (AKI), Acute renal failure(ARF), Eschericia coli (E.Coli) RIFLE (Risk, Injury, Failure, Loss, End Stage kidney disease)

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)0.000
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.308
Teacher spread0.300 · 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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Citations1
Published2022
Admission routes1
Has abstractyes

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