C-reactive protein and albumin kinetics before community-acquired bloodstream infections - a Danish population-based cohort study.

Early changes in biomarker levels probably occur before bloodstream infection (BSI) is diagnosed. However, this issue has not been fully addressed. We aimed at evaluating the kinetics of C-reactive protein (CRP) and plasma albumin (PA) in the 30 days before community-acquired (CA) BSI diagnosis. From a population-based BSI database we identified 658 patients with at least one measurement of CRP or PA from day -30 (D-30) through day -1 (D-1) before the day of CA-BSI (D0) and a measurement of the same biomarker at D0 or D1. Amongst these, 502 had both CRP and PA measurements which fitted these criteria. CRP and PA concentrations began to change inversely some days before CA-BSI diagnosis, CRP increasing by day -3.1 and PA decreasing by day -1.3. From D-30 to D-4, CRP kinetics (expressed as slopes - rate of concentration change per day) was -1.5 mg/l/day. From D-3 to D1, the CRP slope increased to 36.3 mg/l/day. For albumin, the slope between D-30 to D-2 was 0.1 g/l/day and changed to -1.8 g/l/day between D-1 and D1. We showed that biomarker levels begin to change some days before the CA-BSI diagnosis, CRP 3.1 days and PA 1.3 days before.

Hypoalbuminaemia as a marker of trans-capillary leakage in community-acquired bacteraemia patients.

Community-acquired bacteraemia patients (n = 2472), Denmark, 2000-2008. Albumin, C-reactive protein (CRP) and haemoglobin (Hb) measured 2000-2010. We assessed daily mean levels of albumin, CRP and Hb from 30 days before to 30 days after bacteraemia and correlations between albumin vs. CRP and albumin vs. Hb. In linear regression models, we evaluated the contribution of CRP, Hb, chronic and acute variables to the albumin level variations. The mean albumin level (33.6 g/l) was steady before day 1, declined to 29.3 g/l on day 1 with little increase afterward. The mean CRP increased from day -5, peaked on day 1 and declined thereafter. The mean Hb level was fairly constant during days -30/30. Albumin was inversely (R range, - 0.18/-0.47, P < 10-4) correlated with the CRP level and positively (R = 0.17-0.46, P < 10-4) correlated with the HB level. In most models, CRP was the first variable that contributed to the albumin variations, 34-70% of the full model. The sudden decrease of albumin levels, without sudden fluctuations of CRP or Hb, indicated that hypoalbuminaemia was a marker of trans-capillary leakage.

Measurement of platelet aggregation, independently of patient platelet count: a flow-cytometric approach.

Essentials Platelet function may influence bleeding risk in thrombocytopenia, but useful tests are needed. A flow cytometric platelet aggregation test independent of the patient platelet count was made. Platelet aggregation was reduced in thrombocytopenic patients with hematological cancer. High platelet aggregation ruled out bleeding tendency in thrombocytopenic patients. SUMMARY: Background Methods for testing platelet aggregation in thrombocytopenia are lacking. Objective To establish a flow-cytometric test of in vitro platelet aggregation independently of the patient's platelet count, and examine the association of aggregation with a bleeding history in thrombocytopenic patients. Patients/methods We established a flow-cytometric assay of platelet aggregation, and measured samples from healthy individuals preincubated with antiplatelet drugs, and samples from two patients with inherited platelet disorders. Then, we included 19 healthy individuals and 20 patients with platelet counts of ≤ 50 × 109 L-1 , diagnosed with acute myeloid leukemia or myelodysplastic syndrome. We measured platelet aggregation and platelet activation by platelet surface expression of activated glycoprotein IIb-IIIa, P-selectin and CD63 after addition of agonists: collagen-related peptide, thrombin receptor-activating peptide (TRAP), and ADP. Results The platelet aggregation assay showed a low intraserial coefficient of variation of ≤ 3%. Similar results were obtained for platelet-rich plasma and isolated platelets at platelet counts of > 10 × 109 L-1 ; otherwise, platelet isolation was required. The platelet aggregation percentage decreased with increasing antiplatelet drug concentration. Platelet aggregation in patients was reduced as compared with healthy individuals: 42% (interquartile range [IQR] 27-58) versus 66% (IQR 60-67) for TRAP; 41% (IQR 25-48) versus 70% (IQR 69-72) for collagen-related peptide; and 44% (IQR 30-53) versus 65% (IQR 46-72) for ADP. Platelet activation after stimulation was reduced in patients and correlated with platelet aggregation (e.g. r = 0.78-0.81 when stimulated with collagen-related peptide). Platelet aggregation had a negative predictive value of 100% for a bleeding tendency among patients. Conclusion The established platelet aggregation assay was applicable for thrombocytopenic patients, and improved the identification of bleeding risk.

Platelet count is associated with cardiovascular disease, cancer and mortality: A population-based cohort study.

INTRODUCTION: Platelet count is used to determine bleeding risk and monitoring thrombopoiesis. While abnormal platelet counts are associated with mortality and morbidity, it is unclear whether it also apply to platelet counts within reference range. We investigated the relationship between platelet count (100-450×109/L) and mortality, development of future cardiovascular disease (myocardial infarction, ischaemic stroke, or peripheral vascular disease), venous thromboembolism, bleeding or cancer in the general population. MATERIAL AND METHODS: We conducted a register-based cohort study of 21,252 adults (≥20years) from the Danish General Suburban Population Study (GESUS). Laboratory results from GESUS were linked to information from national registers regarding morbidity and death. Cox proportional hazard regression was conducted with adjustment for age, sex, smoking status, haemoglobin, leukocyte count, C-reactive protein and Charlson comorbidity index. RESULTS: We found a U-shaped relationship between mortality and platelet count. Mortality was significantly increased for platelet count <175×109/L or >300×109/L. When categorizing platelet count using the interval 201-250×109/L as reference group, platelet count 301-450×109/L was associated with mortality, adjusted hazard ratio (HR)=1.42(95% CI 1.06-1.90) and cardiovascular disease, adjusted HR=1.32 (95% CI 1.03-1.69). Platelet count 100-200×109/L was associated with future cancer, adjusted HR=1.28(95% CI 1.05-1.57), but not with future bleeding or venous thromboembolism. CONCLUSIONS: Platelet count is associated with mortality, future cardiovascular disease, and future cancer.