The PLASMIC score was developed for distinguishing thrombotic thrombocytopenic purpura (TTP) from other types of thrombotic microangiopathy. However, two components of the PLASMIC score, mean corpuscular volume (MCV) and international normalized ratio (INR), showed non-significant differences between TTP and non-TTP patients in previous validations. Here, we validate the PLASMIC score and aim to modify it by adjusting the criteria of MCV and INR.A retrospective validation of suspected TTP patients was performed by reviewing electronic medical records from two medical centers in Taiwan. The performance of different modified types of the PLASMIC score was carried out.Among 50 patients included in the final analysis, 12 were diagnosed with TTP based on deficiency of ADAMTS13 activity and clinical judgement. When stratified by high (score ≥ 6) and low-intermediate risk (score < 6), the positive predictive value (PPV) of the PLASMIC score to predict TTP was 0.45 (95% confidence interval [CI]: 0.29-0.61). The area under curve (AUC) was 0.70 (95% CI: 0.56-0.82). When adjusting the criteria of the PLASMIC score from MCV < 90 fL to MCV ≥ 90 fL, the PPV increased to 0.57 (95% CI: 0.37-0.75). The AUC was 0.75 (95% CI: 0.61-0.87). When adjusting the INR from >1.5 to >1.1, the PPV increased to 0.56 (95% CI: 0.39-0.71). The AUC was 0.81 (95% CI: 0.68-0.90).MCV ≥ 90 fL and/or INR > 1.1 might be suitable modifications for PLASMIC score but should be validated in a larger sample size.
Abstract Biologics have expanded the armamentarium for psoriasis, but there has been a growing concern about the risk of lymphoma in patients under tumour necrosis factor (TNF)-α inhibitor and methotrexate. Besides, the mRNA-based coronavirus disease 2019 (COVID-19) vaccination was known to stimulate the proliferation of T-follicular helper cells. We report a case of a patient with psoriasis under adalimumab developing nodal T-follicular helper cell lymphoma, angioimmunoblastic-type following the mRNA-1273 COVID-19 vaccine. We suspect that adalimumab, methotrexate, Epstein-Barr virus (EBV) reactivation, previous reactive lymphoid hyperplasia and psoriasis per se predispose our patient to a lymphoma-prone condition, and the two doses of the mRNA vaccine act as the last straw.
ABSTRACT Objectives Immature platelet fraction (IPF) for differentiating bacteremia has been explored, whereas its prognostic correlation remains uncertain. This study aims to confirm the predictive capability of IPF for bacteremia and investigate its association with prognosis. Methods Patients with complete blood count (CBC) on the blood culture day (D1) and the preceding day (D0) were retrospectively recruited and categorized into bacteremia and nonbacteremia groups. Immature platelet (IP) analysis, alongside CBC, was conducted. Delta IPF, defined by the absolute values of D1 minus D0 results was calculated. The ability to distinguish bacteremia from nonbacteremia patients, and the correlation with mortality were analyzed. Results From February to December 2020, a total of 150 patients were enrolled, with 75 having bacteremia. The specificity for delta IPF ≥3.4% to predict bacteremia was 97.3% (95% confidence interval [CI]: 90.7–99.7). When delta IPF ≥3.4% combined with procalcitonin ≥0.5 (ng/mL), the sensitivity was 90.5% (95% CI: 69.6%–98.8%). Within the bacteremia group, delta IPF and the proportion of patients with delta IPF ≥1.5% were significantly higher in nonsurvival, while delta platelet levels did not. Furthermore, delta IPF ≥1.5% was independently associated with 30‐day mortality (adjusted odds ratio: 3.88, 95% CI: 1.2%–11.4%; p = 0.020). The 30‐day survival curve demonstrated a significant difference between patients with delta IPF ≥1.5% and those without ( p < 0.001). Conclusions Delta IPF correlates with mortality in bacteremia patients. Our findings suggest IPF not only helps detect bacteremia but also predicts prognosis in the early stage.
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