The clinical characteristics and course of <scp>COVID</scp>‐19 in hemodialysis patients
Bibliographic record
Abstract
INTRODUCTION: In December 2019, pneumonia cases emerging in China rapidly spread and became a global pandemic. The disease called COVID-19 threatens health and life in patients with comorbid disease, especially in patients with kidney failure. In this study, we aimed to evaluate the clinical findings, laboratory parameters, and prognosis of COVID-19 disease in end-stage renal patients undergoing hemodialysis treatment. METHODS: We included the hemodialysis patients who have been diagnosed with COVID-19 disease and received inpatient treatment between 11 Match 2020 and 24 April 2020 in hospital. The demographic characteristics, comorbidities, symptoms, clinical course, laboratory parameters, and treatments were recorded. FINDINGS: The study included 25 hemodialysis patients; 15 (60%) were female. The mean age was 60.5 ± 15 years. All patients had chest computed tomography findings compatible with COVID-19 disease. The findings were bilateral in 88% of patients. The real-time reverse transcriptase-polymerase chain reaction test was positive in 48% of the patients. The most common symptoms were dyspnea (56%) and fever (52%). The most common comorbid disease was hypertension (76%). Leukocytosis in 12% of the patients while 72% had lymphopenia. All patients had a high C-reactive protein value. 64% of patients required oxygen support and 32% intensive care. 28% developed a secondary infection. 76% (19/25) of the patients has been discharged with cure and 20% (5/25) died. The inpatient follow-up of a patient (4%) continues. Secondary infection development was significantly associated with oxygen demand (P = 0.027) and need for intensive care (P = 0.001). DISCUSSION: The associated clinical symptoms of COVID-19 were similar in hemodialysis patients to those of patients without renal disease. However, it caused pneumonia in all hemodialysis patients. It was associated with a more severe disease and worse prognosis with a mortality rate of 20%. Our study suggests that COVID-19 disease has a significantly more severe course and worse prognosis in hemodialysis patients.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.108 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".