Value of white blood cell count with differential in the acute diabetic foot infection

1996 ◽  
Vol 86 (5) ◽  
pp. 224-227 ◽  
Author(s):  
DG Armstrong ◽  
TA Perales ◽  
RT Murff ◽  
GW Edelson ◽  
JG Welchon
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Diabetic Foot ◽  
Polymorphonuclear Leukocyte ◽  
White Cell ◽  
Blood Cell Count ◽  
Diabetic Foot Infection ◽  
Cell Counts

The authors reviewed the admission leukocyte indices of 338 consecutive admissions (203 males, 135 females, mean age of 60.2 +/- 12.9 years) with a primary diagnosis of diabetic foot infection in a multicenter retrospective study. The mean white blood cell count on admission for all subjects studied was calculated at 11.9 +/- 5.4 x 103 cells/mm3. Of all white blood cell counts secured for patients admitted with a diabetic foot infection, 56% (189 out of 338) were within normal limits. The average automated polymorphonuclear leukocyte percentage was calculated at 71.4 +/- 11.1% (normal range 40% to 80%). Normal polymorphonuclear leukocyte values were present in 83.7% of subjects. The authors stress that the diagnosis of a diabetic pedal infection is made primarily on the basis of clinical signs and symptoms, and that a normal white cell count and white cell differential should not deter the physician from taking appropriate action to mitigate the propagation of a potentially limb-threatening pedal infection.

Agranulocytosis Induced by Vancomycin or Ticarcillin/Clavulanate

1997 ◽  
Vol 31 (11) ◽  
pp. 1321-1324 ◽  
Author(s):  
Delbert L Mandl ◽  
Mark W Garrison ◽  
Samuel D Palpant
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
White Blood Cells ◽  
Blood Cell Count ◽  
Cell Counts ◽  
Long Term Treatment ◽  
Term Administration

OBJECTIVE: To reacquaint clinicians with a reportedly rare adverse event of agranulocytosis occurring after long-term administration of vancomycin and ticarcillin/clavulanate, with a subsequent review of other reported cases in the literature. CASE SUMMARY: A 45-year-old white woman with spina bifida developed agranulocytosis (2.7 × 103/mm3 white blood cells with only 3% polymorphonuclear leukocytes and no reported eosinophils or basophils) after long-term administration of vancomycin and ticarcillin/clavulanate for decubitus ulcers and chronic osteomyelitis. Consequently, the cell counts rebounded rapidly on discontinuation of both medications and returned to normal within 1 week. DISCUSSION: The incidence of vancomycin-associated neutropenia is presumably rare, but the increased use of vancomycin may disclose a more frequent occurrence. It is suggested that the mechanism for the reaction is immunologically mediated, yet this remains unclear. Although it is difficult to determine the causative agent in this case, vancomycin was most suspect clinically. Ticarcillin/clavulanate is less likely because our patient has since been readmitted and treated with oxacillin, imipenem/cilastatin, and amoxicillin/clavulanate without affecting the white blood cell count. In that regard, it could be reasoned that an immunologic reaction to ticarcillin would have resulted in a similar outcome with other penicillins. CONCLUSIONS: This case serves as a reminder to clinicians that patients receiving long-term treatment with vancomycin should have their white blood cell count monitored at least weekly.

The incidence and timing of leukocyte overshoot after pegfilgrastim administration

2018 ◽  
Vol 25 (4) ◽  
pp. 869-874 ◽  
Author(s):  
Eiseki Usami ◽  
Michio Kimura ◽  
Mina Iwai ◽  
Makiko Go ◽  
Hiroki Asano ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Reference Value ◽  
Granulocyte Colony Stimulating Factor ◽  
Colony Stimulating Factor ◽  
Blood Cell Count ◽  
Cell Counts ◽  
Stimulating Factor

Introduction Pegfilgrastim is a PEGylated formulation of filgrastim with a long half-life. It is highly convenient and less burdensome for patients. However, white blood cell count may temporarily increase after administration; in particular, a leukocyte overshoot may be observed. The present study retrospectively examined the incidence and timing of leukocyte overshoot after pegfilgrastim administration. Patients and methods Fifty-five patients (118 occasions of pegfilgrastim) were evaluated. Leukocyte overshoot was defined as white blood cell count ≥10,000/mm3 exceeding the reference value. Results Leukocyte overshoot was observed in 71.2% (84/118) occasions, in 76.4% (42/55) patients. The maximum white blood cell count ≥30,000/mm3 was observed in 30.5% (36/118) occasions in 45.5% (25/55) patients and was observed in 39.3% (33/84) occasions on day 1 after pegfilgrastim administration and 26.2% (22/84) on day 2. Leukocyte overshoot has been observed in only 23.1% (9/39) patients administered with normal granulocyte colony-stimulating factor. However, there were no patients with white blood cell counts ≥30,000/mm3. Conclusion There was a higher frequency of occurrence of leukocyte overshoot in response to pegfilgrastim than in response to normal granulocyte colony-stimulating factor. High incidence of leukocyte overshoot was observed when blood was collected 1–2 days after administration of pegfilgrastim. It is important for patients to understand the characteristics of pegfilgrastim by conducting pharmaceutical guidance.

scholarly journals White Blood Cells and Severe COVID-19: A Mendelian Randomization Study

2021 ◽  
Vol 11 (3) ◽  
pp. 195
Author(s):  
Yitang Sun ◽  
Jingqi Zhou ◽  
Kaixiong Ye
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Blood Cells ◽  
Mendelian Randomization ◽  
Association Studies ◽  
White Blood Cells ◽  
Genome Wide Association Studies ◽  
Blood Cell Count

Increasing evidence shows that white blood cells are associated with the risk of coronavirus disease 2019 (COVID-19), but the direction and causality of this association are not clear. To evaluate the causal associations between various white blood cell traits and the COVID-19 susceptibility and severity, we conducted two-sample bidirectional Mendelian Randomization (MR) analyses with summary statistics from the largest and most recent genome-wide association studies. Our MR results indicated causal protective effects of higher basophil count, basophil percentage of white blood cells, and myeloid white blood cell count on severe COVID-19, with odds ratios (OR) per standard deviation increment of 0.75 (95% CI: 0.60–0.95), 0.70 (95% CI: 0.54–0.92), and 0.85 (95% CI: 0.73–0.98), respectively. Neither COVID-19 severity nor susceptibility was associated with white blood cell traits in our reverse MR results. Genetically predicted high basophil count, basophil percentage of white blood cells, and myeloid white blood cell count are associated with a lower risk of developing severe COVID-19. Individuals with a lower genetic capacity for basophils are likely at risk, while enhancing the production of basophils may be an effective therapeutic strategy.

Identifying Top Predictors of Change in Noncalcified Coronary Burden in Psoriasis by Machine Learning Over 1-Year

2021 ◽  
pp. 247553032110007
Author(s):  
Eric Munger ◽  
Amit K. Dey ◽  
Justin Rodante ◽  
Martin P. Playford ◽  
Alexander V. Sorokin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Severity Index ◽  
Blood Cell Count ◽  
Psoriasis Area Severity Index ◽  
Severity Index Score

Background: Psoriasis is associated with accelerated non-calcified coronary plaque burden (NCB) by coronary computed tomography angiography (CCTA). Machine learning (ML) algorithms have been shown to effectively identify cardiometabolic variables with NCB in cross-sectional analysis. Objective: To use ML methods to characterize important predictors of change in NCB by CCTA in psoriasis over 1-year of observation. Methods: The analysis included 182 consecutive patients with 80 available variables from the Psoriasis Atherosclerosis Cardiometabolic Initiative, a prospective, observational cohort study at baseline and 1-year using the random forest regression algorithm. NCB was assessed at baseline and 1-year from CCTA. Results: Using ML, we identified variables of high importance in the context of predicting changes in NCB. For the cohort that worsened NCB (n = 102), top baseline variables were cholesterol (total and HDL), white blood cell count, psoriasis area severity index score, and diastolic blood pressure. Top predictors of 1-year change were change in visceral adiposity, white blood cell count, total cholesterol, c-reactive protein, and absolute lymphocyte count. For the cohort that improved NCB (n = 80), the top baseline variables were HDL cholesterol related including apolipoprotein A1, basophil count, and psoriasis area severity index score, and top predictors of 1-year change were change in apoA, apoB, and systolic blood pressure. Conclusion: ML methods ranked predictors of progression and regression of NCB in psoriasis over 1 year providing strong evidence to focus on treating LDL, blood pressure, and obesity; as well as the importance of controlling cutaneous disease in psoriasis.

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