An evaluation of peri-operative clinical, serological and radiological parameters in hip arthroplasties -a prospective observational study of Indian cohorts
Bibliographic record
Abstract
BACKGROUND: The scarcity of mortality data in our country led to systematic effort with aim of evaluating peri-operative parameters associated with mortality in hip arthroplasties to determine better fixation method and reducing avoidable variables. MATERIALS & METHODS: saturation and BP were recorded at specific surgical steps and post-operatively for 48 h. Post-operative Trop-T and 2D Echocardiography were done in all patients and D-Dimer and CTPA in indicated ones. All post-operative deaths were extensively studied. RESULTS: Majority (63%) were operated for traumatic indications.48% belonged to ASA grade-1, 46% grade-2 and 4% grade-3. There was statistically significant association of diagnosis (traumatic aetiology), ASA grade 2, raised Troponin -T, raised D-dimer and pulmonary embolism with mortality. Mortality rate in our study at post-op 48 h was 5.5%, 30 day- 8% and 1-year mortality rate was 19%. With total of 14 deaths, 8 deaths (57.14%) occurred among 127 cemented arthroplasties and 6 deaths (42.86%) among 125 uncemented arthroplasties. CONCLUSIONS: Selection of implant (cemented or uncemented) made no difference in eventual mortality. Collaborative effort of orthopaedic surgeon, anaesthetist and experts from respective fields in elderly high-risk patient with vigilant post-operative surveillance for minimum 48 h would help in lowering mortality associated with hip arthroplasties.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".