Blood pressure changes during alemtuzumab infusion for multiple sclerosis patients
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Blood pressure (BP) changes during alemtuzumab infusions are poorly understood. The aim of this study was to examine BP changes during alemtuzumab infusions in persons with multiple sclerosis (PwMS). METHODS: This was a retrospective cohort review of systolic (S) and diastolic (D) BP in PwMS receiving alemtuzumab. RESULTS: Thirty-one patients were identified; 22 (64.5%) were women. Mean age and disease duration were 35.2 ± 7.1 and 9.2 ± 5.4 years, respectively. There was no history of hypertension or vascular events. Mean baseline SBP was 119.8 ± 15.1 mmHg, 118.8 ± 14.3 mmHg and 106.5 ± 6.1 mmHg whilst mean DBP was 75.3 ± 9.2 mmHg, 74.1 ± 12.4 mmHg and 69.2 ± 4.3 mmHg at doses 1, 6 and 9, respectively. During the first cycle, SBP increased by 19.2 ± 9.4 mmHg, with comparable percentage increases over the five infusions (16%, 22%, 17%, 11%, 13%, respectively). DBP increased by 6.2 ± 3.8 mmHg with similar percentage increases over the five infusions (8.4%, 11.5%, 5.5%, 7%, 3%). For the second cycle, SBP increased by 16.9 ± 3.2 mmHg, with similar increases over the 3 days (12%, 15%, 17%). DBP increased by 5.4 ± 4.2 mmHg (11%, 9%, 12.8%). The third cycle demonstrated increased mean and percentage of SBP and DBP by 8.9 ± 2.3 mmHg (10%, 70%, 11.8%) and 4.2 ± 1.9 mmHg (3%, 2%, 6.5%), respectively. Collectively, for 31 patients, in the first cycle, mean SBP increased from 119.8 ± 15.1 mmHg to 138.8 ± 13 mmHg (p ˂ 0.001), whilst mean DBP increased from 74.5 ± 9.2 mmHg to 79.2 ± 9.1 mmHg (p = 0.007). Overall, 17 (54.8%) patients had increasing BP by ≥20% and nine (29%) had increasing BP by ≥20 mmHg from baseline. CONCLUSIONS: This demonstrates significant increases in BP during alemtuzumab infusions in PwMS.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".