Effect of Coffee Consumption on the Incidence and Severity of Post Dural Puncture Headache among Post Cesarean Section Women
Bibliographic record
Abstract
Background: Post-Dural Puncture Headache (PDPH) is the most prevalent complication after lumbar puncture (LP), with reported frequency varying from 6% to 36% of patients.Aim: investigate the effect of coffee consumption on the incidence and severity of post-dural puncture headache among post cesarean section women.Research design: Randomized controlled clinical trial.Setting: Postpartum department at Damanhour National Medical institute/ Elbehira governorate.Egypt.Sample: 120 women undergoing elective caesarean section under spinal anesthesia were randomly allocated to study and control group using randomization block.Tools: three tools were used for data collection.Structured interview schedule to collect basic data, headache assessment tool (visual analogue pain scale, short-form McGill pain questionnaire, assessment of headache aggravating and alleviating factors) and physical activities limitation questionnaire.Results: The incidence and severity of PDPH is higher among control more than coffee group.While, the maximum incidence of continuous PDPH occurs in the third post-operative day among control group (40%) compared to only 13.3% among intervention.Both VAS and McGill Pain score are statistically higher among control compared to intervention group over several time points.PDPH is aggravated by light, noise, standing, moving and siting in control groups than intervention groups.Laying down, closing eyes, drinking fluids are major soothing factors for both groups.The highest percentages of coffee group had no effect on activity of daily living compared to control group.The differences between the two groups are statistically significant intergroup, intragroup and for group time interactions.Conclusion: Coffee decreased both incidence and severity of PDPH and increased tolerance of post Cs activities.Recommendations: Oral coffee may be added to post Cs nursing care protocols to decrease PDPH incidence, severity and enhancing early physical activities.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".