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1 ratory markers (C-reactive protein and white blood cell count).
2 ow failure disorder characterized by low red blood cell count.
3 eased protein with a slightly elevated white blood cell count.
4 ls of hCMV IgG inversely correlated with red blood cell count.
5 ted to low albumin concentration and low red blood cell count.
6 e afebrile with normal chest x-ray and white blood cell count.
7 parameters and 1 associated with total white blood cell count.
8 mia, decreased appetite, and decreased white blood cell count.
9  abnormal blood cells, or reduced peripheral blood cell count.
10 n and fetal haemoglobin, and decreased white blood-cell count.
11 age, sex, technical covariates, and complete blood cell counts.
12  antidepressant use, inflammatory status and blood cell counts.
13 nd lower C-reactive protein levels and white blood cell counts.
14 ssant FK506 (tacrolimus) decreases CSF white blood cell counts.
15  patients were afebrile and had normal white blood cell counts.
16  thrombocytopenia and altered microcytic red blood cell counts.
17 ll infusion despite prompt recovery of other blood cell counts.
18  increasing platelet counts, and lower white blood cell counts.
19 boratory test results were as follows: white blood cell count, 11.2 x10(9)/L (normal range, [4.5-11.0
20                 Optimal thresholds for white blood cell count (11600/microL), absolute neutrophil cou
21 ommon grade 3 or 4 toxicities were low white blood cell count (14 [11%] in the CRT plus cetuximab gro
22  (4.5% compared with 16.4%; P < 0.05), white blood cell count (14.4 +/- 3.3 compared with 15.6 +/- 4.
23 s with severe COVID-19 had higher peak white blood cell counts (15.8 vs 7 x 10(3) /uL, P = .019), C-r
24 tory evaluation revealed leukocytosis (white blood cell count, 15.4 x 10(9)/L; normal range, [3.5-10.
25  [29%]), anaemia (26 [29%]), decreased white blood cell count (17 [19%]), and decreased lymphocyte co
26 ea (12 [5%] vs 17 [7%]), and decreased white blood cell count (18 [7%] vs nine [4%]).
27 , leucopenia (27 [10%]), and decreased white blood cell count (21 [8%]).
28 CI, 4.0%-6.3%]), and hematopoietic (abnormal blood cell counts, 3.0% [95% CI, 2.1%-3.9%]) function we
29  low glucose level (2 mg/dL), and high white blood cell count (330/mm(3); 28% lymphocytes, 56% neutro
30  (31 [10%] vs 41 [13%]), and decreased white blood cell count (39 [13%] vs 33 [11%]).
31 level (124 vs 134 mg/dL, P = .03), and white blood cell count (6600/muL vs 17 200/muL, P < .001) comp
32  88.35 U/L (58.94-117.76 U/L); and for white blood cell count, 6890/microL (5700/microL-8030/microL).
33 l range, 12-60 mg/dL), and an elevated white blood cell count (7/mm(3) [0.007 x10(9)/L] in tube 1 and
34 [4.0-5.8] vs 4.5 [3.7-5.5] mg/dL), and white blood cell count (7000 [5900-8200] vs 6600 [5600-7800] c
35 enia (31 [42%] vs 28 [39%]), decreased white blood cell count (8 [11%] vs 5 [7%]), and hypophosphatae
36 [IQR (36.7, 38.5)]; P < .01) and lower white blood cell count (8.3 x 1000 cells/muL [IQR, 5.7, 12.4]
37 tives without MPN presented elevation of >=1 blood cell counts; 80 (13%) even presented blood cell co
38 s associated with a 29% lower baseline white blood cell count (95% confidence interval [CI], -7% to -
39 ediction highlighted by our tool: that white blood cell count--a quantitative trait of the immune sys
40 on dysfunction, and various biochemistry and blood cell count abnormalities.
41          We tested the accuracy of the white blood cell count, absolute neutrophil count, and platele
42    Lower levels of C-reactive protein, white blood cell count, absolute neutrophil count, and procalc
43    Lower levels of C-reactive protein, white blood cell count, absolute neutrophil count, and procalc
44                                        White blood cell count also provides predictive information on
45                                        White blood cell count analysis after alpha-radioimmunotherapy
46 isodes, 213 had data allowing complete white blood cell count analysis and were included in the final
47                                        White blood cell count and albumin level are the most clinical
48 nificantly predicted only by patients' white blood cell count and albumin level.
49                                        White blood cell count and C-reactive protein level were eleva
50 tive inhibitor tofacitinib reduced the white blood cell count and caused leukemic cell apoptosis.
51                                    The white blood cell count and differential were within the normal
52 near regression, adjusting for demographics, blood cell count and distribution, and another metric wi
53 ean value of several laboratory tests (white blood cell count and hepatic and lipid panels), yet (2)
54 waist-hip ratio, alanine transaminase, white blood cell count and lower high-density lipoprotein chol
55 l uses repeatedly measured biomarkers (white blood cell count and lymphocyte percent) to predict CD4(
56 th 17-DMAG significantly decreased the white blood cell count and prolonged the survival in a TCL1-SC
57 d examination revealed mildly elevated white blood cell count and protein levels.
58 s C. difficile variant elicited higher white blood cell counts and caused disease in younger patients
59      His laboratory evaluation showed normal blood cell counts and comprehensive metabolic panel with
60 ent is also influenced by platelet and white blood cell counts and estroprogestogen intake.
61 nd ALT, and negatively correlated with white blood cell counts and fibrinogen in free-ranging dolphin
62 bition of mTORC1 significantly increased red blood cell counts and hemoglobin content in the blood, i
63 rated severe thrombocytopenia, reduced white blood cell counts and high fever with 93% mortality rate
64 ciated with increased peripheral circulating blood cell counts and increased proliferative capacity o
65                                  Circulating blood cell counts and indices are important indicators o
66    Analysis of the humoral system shows that blood cell counts and inflammatory markers are different
67                                  Total white blood cell counts and leukocyte-distribution profiles we
68 ression, as monitored by reductions in white blood cell counts and lymphocyte proliferation activity.
69 reatment improved survival, normalized white blood cell counts and platelet counts, and markedly redu
70 from oncology to psychiatry, can lower white blood cell counts and thus access to these treatments ca
71 pigenetic aging rates of blood (dependent on blood cell counts and tracks the age of the immune syste
72 ented more commonly with low to normal white blood cell counts and with myeloid infiltration of lymph
73  SPIROMICS baseline visit data with complete blood cell counts and, in a subset, acceptable sputum co
74 ic age acceleration of blood (independent of blood cell counts) and the extrinsic epigenetic aging ra
75 t of patients with FLT3-ITD, only age, white blood cell count, and < 4-log reduction in PB-MRD, but n
76 C also have an abnormal temperature or white blood cell count, and be started on a new antimicrobial
77 ustment for age, sex, current smoking, white blood cell count, and fish consumption, each 1-SD increa
78 e, higher waist-to-hip ratio, elevated white blood cell count, and heart failure.
79 oxicity analysis included body weight, white blood cell count, and hematocrit.
80 nts had more severe neuropathy, higher white blood cell count, and lower endothelium-dependent and -i
81 der, had a higher hemoglobin level and white blood cell count, and lower platelet count and serum ery
82 red blood cell transfusion dependency, white blood cell count, and marrow blasts retained independent
83                              Age, sex, white blood cell count, and risk group were similar between DS
84 cology Group performance status of 0, normal blood cell counts, and a calculated creatinine clearance
85 or overall survival, TP53 alterations, white blood cell counts, and age were the only significant fac
86 ected against viremia, fever, elevated white blood cell counts, and CHIKF-associated cytokine changes
87 sterone), hepatobiliary enzyme levels, white blood cell counts, and iron homeostasis.
88 d hepcidin levels, higher hemoglobin and red blood cell counts, and lower mean corpuscular volume tha
89 information, complete and differential white blood cell counts, and lymphocyte subsets for 301 infant
90        We examined hemoglobin, red and white blood cell counts, and platelet counts and volume in reg
91 ies were assessed by monitoring body weight, blood cell counts, and serum alanine aminotransferase an
92 videnced by even larger spleen, higher white blood cell counts, and shorter survival, compared with F
93  of G-CSF in these patients to support white blood cell counts, and suggest that direct targeting of
94 ge, creatinine clearance, haemoglobin, white-blood-cell count, and previous spontaneous bleeding) sho
95 ced age, elevated serum creatinine and white blood cell count, anemia, non-ST-segment elevation MI, o
96 skin infection (aOR 1.14), recent high white blood cell count (aOR 1.08), and genitourinary disorder
97 ruising (aOR, 3.17; P=.0059), abnormal white blood cell count (aOR, 0.52; P=.0100), and prior antibio
98                                        Human blood cell counts are tightly maintained within narrow p
99 antitative hematopoietic parameters, such as blood cell counts, are required to distinguish between M
100  urbanicity and effect modification by white blood cell count as an inflammatory marker were also don
101                In this study, we investigate blood cell counts as a potential mechanism linking mLOY
102 We tested serum C-reactive protein and white blood cell counts as potential mediators of asthma-leuko
103                                 Raised white blood cell counts as well as peaks of serum levels of C-
104 CHC) and platelet number at day 10 and white blood cell count at day 60.
105 x, age (<10 years vs >/=10 years), and white blood cell count at diagnosis (<50 x 10(9)/L vs >/=50 x
106 result and balancing for sex, age, and white blood cell count at diagnosis by method of minimisation.
107 association between age, Ph(+) status, white blood cell count at diagnosis, and CD20 positivity.
108 piratory, cardiac, and liver function, white blood cell count at least 3 x 10(9) cells per L, platele
109 ose group had significantly lower mean white blood cell counts at months 5 and 6; however, premature
110 d OS (HR, 0.64; P = .02), with initial white blood cell count being the only factor significantly int
111 ease progression significantly reduced white blood cell count, blast cells, splenomegaly, lactate deh
112 e older; were hypertensive; had higher white blood cell count, blood glucose, D-dimer, and serum uric
113 ted mouse serum and significantly increasing blood cell counts, BM hematopoietic cellularity and stem
114 ls showed accelerated recovery in peripheral blood cell counts, bone marrow colony forming units, ste
115 had normal, the other two had elevated white blood cell count, but all of them had elevated CRP.
116 , increasing both neutrophil and total white blood cell count by 6 hours post-injection.
117 o significant difference in any of the white blood cell counts by diet group.
118 es, physical triggers, BAT results, complete blood cell count, C-reactive protein levels, thyroid-sti
119  the performance of selected tests (complete blood cell count, C-reactive protein or fecal calprotect
120 des, waist circumference), and immune (white blood cell count, C-reactive protein) markers.
121 CU including pancreatic stone protein, white blood cell counts, C-reactive protein, interleukin-6, an
122 cent labeling or Coulter counting, the white blood cell count can be defined directly from a microlit
123                                Red and white blood cell counts can also be performed on human body fl
124 Outcome measures were the patients' complete blood cell counts, CD34(+) cell counts and lymphocyte su
125                                              Blood cell counts, cell death, and activation status of
126  had a larger spleen size and a higher white blood cell count compared with those with BCR-ABL1/ABL <
127 hout a known cause should undergo a complete blood cell count, comprehensive metabolic panel, vitamin
128 d 8 other risk factors, including age, white blood cell count, cytogenetics, and gene mutations, into
129  ultrafiltration rate, phosphorus, and white blood cell count declined (all P<0.001).
130 p9 or its cofactor Apaf1 developed low white blood cell counts, decreased B-cell numbers, anemia, and
131 re length increased red blood cell and white blood cell counts, decreased mean corpuscular hemoglobin
132 g status, alcohol use, servings of FV, white blood cell count, diastolic blood pressure, diabetes, no
133 his large cohort of APL patients, high white blood cell count emerged as an independent predictor of
134                                   With white blood cell count emerging as an important risk factor fo
135 blood samples analyzed for hemoglobin, white blood cell counts, eosinophil counts and total serum IgE
136 escending CA, respectively), and lower white blood cell count, erythrocyte sedimentation rate, and pl
137                        Six biomarkers (white blood cell count, fibrinogen, D-dimer, troponin T, N-ter
138 hematological cancer requires complete white blood cell count, followed by flow cytometry with multip
139 gene fusions, immunophenotypic groups, white blood cells count, gender or age.
140 rcent of patients with CDI had a serum white blood cell count greater than 12 000 cells per muL, and
141             Conclusions and Relevance: White blood cell count greater than 20000 cells/microL and tot
142 irubin level greater than 10 mg/dL and white blood cell count greater than 20000 cells/microL.
143 ount <13 x 10(9)/L) and proliferative (white blood cell count &gt;/=13 x 10(9)/L) CMML.
144 domembranous colitis within 5 days; or white blood cell count &gt;/=15 000 cells/microL within 1 day of
145  bpm, mean arterial pressure <60 mmHg, white blood cell count &gt;/=15 000 cells/mL, age >60 years, seru
146  to 109 per liter, multiply by 0.001); white blood cell count &gt;/=15000/microL, 27% (95% CI, 18% to 36
147 gnosed high-risk ALL (age >/=10 years, white blood cell count &gt;/=50x10(9) per L, or both) were recrui
148 risk patients (those presenting with a white blood cell count &gt;10 x 10(9) cells per L) could receive
149 ory abnormality, commonly defined by a white blood cell count &gt;100,000/microL, caused by leukemic cel
150  a hemoglobin level </= 120 g/L, and a white blood cell count &gt;11 g/L within 90 days before the surgi
151 temperature >=39 degrees C, peripheral white blood cell count &gt;=20 000/mm3, C-reactive protein >=70.0
152 proach had minimal toxicity with nadir white blood cell counts &gt;2.7 K/microL 2 weeks after HSCT and r
153     Seventeen patients (42.5%) had CSF white blood cell counts &gt;20/muL (mean, 57/muL), and 27 (67.5%)
154 y (43.9% vs 36.6%; P < .0001), and had white blood cell counts &gt;=15 000 cells/uL (31.4% vs 21.4%; P <
155 .9; 95% CI, 1.4-11.1), high peripheral white blood cell count (&gt;10 x 10(9) cells/L; OR, 8.7; 95% CI,
156 on day 1) added to high-risk patients (white blood cell count, &gt;10 x 10(9)/L), as well as low-risk pa
157 r outcome (CSF culture positivity, CSF white blood cell count, hemoglobin, Glasgow Coma Scale, and pu
158 mance status of two or more, increased white blood cell count, high-risk IPSS score, and higher self-
159 riology, bacterial gene expression, complete blood cell counts, histology, and myeloperoxidase activi
160 sing tricuspid regurgitation velocity, white blood cell count, history of acute chest syndrome, and h
161 e, higher waist-to-hip ratio, elevated white blood cell count, history of heart failure, diabetes, hi
162 ificantly higher in patients with high white blood cell count (HR 2.45, p 0.011), raised serum alanin
163  (hazard ratio [HR], 3.299; P < .001), white blood cell count (HR, 1.910; P = .017), platelet count (
164 eness of various strategies to monitor white blood cell count in adult patients with schizophrenia ta
165    The proposed platform enabled rapid white blood cell count in low resource settings with a small s
166 ere has been no rapid test that allows white blood cell count in low-resource settings.
167     Existing strategies for monitoring white blood cell count in patients taking clozapine, based on
168 al infection with better accuracy than white blood cell count in the blood.
169 sterol in men, and with higher BMI and white blood cell count in women (differences 0.03-0.06 standar
170 1 blood cell counts; 80 (13%) even presented blood cell counts in accordance with current MPN diagnos
171  mice, UFP-exposed offspring had lower white blood cell counts in bronchoalveolar lavage fluid and le
172             Dmtf1(-/-) mice showed increased blood cell counts in multiple parameters, and their prog
173                                    All other blood cell counts in Tpm4-deficient mice were normal.
174 ressing miR-125b showed an increase in white blood cell count, in particular in neutrophils and monoc
175 cclusion, n=1 each; placebo: vomiting, white blood cell count increased, n=1 each).
176                                        White blood cell count is an important indicator of each indiv
177                Long-term monitoring of white blood cell count is compulsory in patients taking clozap
178                             Currently, white blood cell count is primarily conducted in centralized l
179 state (G/G) was associated with higher white blood cell count, larger spleen index, and higher freque
180 eline routine screening results for complete blood cell count, lead, and ZPP drawn between ages 8 and
181 ECOG) performance status of 3 or less, white blood cell count less than 10 x 10(9) per L, and adequat
182 blood cell count parameter thresholds: white blood cell count less than 5000/microL, 10% (95% CI, 4%
183 y disease and had significantly higher white blood cell counts, lower lymphocyte counts, and increase
184 tive chronic myelomonocytic leukaemia (white blood cell count &lt;13 000/muL), and had anaemia with or w
185 ML is stratified into myelodysplastic (white blood cell count &lt;13 x 10(9)/L) and proliferative (white
186                            Initial CSF white blood cell counts &lt; or =25 cells/microL and protein leve
187 frank hypotension, fever, and elevated white blood cell count, many patients can present with cryptog
188  congestive heart failure, hematocrit, white blood cell count, mean corpuscular volume, blood urea ni
189 patients with IBS were analyzed for complete blood cell counts, metabolic factors, erythrocyte sedime
190 95% CI), 1.66 (1.21-2.29); P = 0.002], white blood cell count more than 16,000 [OR (95% CI), 1.38 (1.
191    Independent predictors of CCDC were white blood cell count more than 25,000/muL (HR: 1.08, 95% CI=
192 me-wide significant SNPs associated with red blood cell count, multiple sclerosis, celiac disease and
193 ness of four strategies for monitoring white blood cell count (national strategies used in the UK, US
194 flammatory markers C-reactive protein, white blood cell count, neopterin, and kynurenine:tryptophan c
195 AKI included initial respiratory rate, white blood cell count, neutrophil/lymphocyte ratio, and lacta
196 gmentation raises inflammatory-related white blood cell counts (neutrophils and monocytes), thereby i
197 60 years and for high vs lower initial white blood cell count, no significant differences between TDT
198  as well as ethnic differences in peripheral blood cell counts (normal hematopoiesis) in addition to
199                              The lower white blood cell counts observed in low and non-meat eaters, a
200 riate model adjusted for age, sex, and white blood cell count, odds of NA for patients not imaged wer
201 -2 and 5.20 (95% CI, 2.70-10.02) for a white blood cell count of >/=20 000/muL vs <20 000/muL.
202 ng features (age >= 1 and < 10 years), white blood cell count of <50 x109/L, lack of extramedullary l
203 3 mg/L (normal range, 0.2-0.9 mg/L), a white blood cell count of 11.69 x10(9)/L (normal range, 4-10 x
204       He was found to have an elevated white blood cell count of 12.2 x 10(9)/L (reference range, [3.
205 blood test results showed an increased white blood cell count of 13 000/muL (13 x10(9)/L) (normal ran
206 blood test results showed an increased white blood cell count of 13,000/uL (13 x 109/L) (normal range
207  studies revealed leukocytosis, with a white blood cell count of 15.1 x 10(3)/uL (15.1 x 10(9)/L) (no
208  studies revealed leukocytosis, with a white blood cell count of 15.1 x 103/muL (15.1 x 109/L) (norma
209 y analyses were notable for a complete white blood cell count of 17000/muL (31% blast cells), a plate
210  206 mg/L (normal range, 0-10 mg/L), a white blood cell count of 24.5 x 10(9)/L (normal range, [4.0-1
211  (normal range, [4.0-11.0] x 10(9)/L), a red blood cell count of 3.39 x 10(12)/L (normal range, [4.5-
212 1), median age of 12 years, and median white blood cell count of 48.8 x 10(9)/L.
213 c laboratory investigations revealed a white blood cell count of 6.7 x 10(9), a C-reactive protein le
214  Cerebrospinal fluid analysis showed a white blood cell count of 60/muL (to convert to x109 per liter
215 thin normal limits, including a normal white blood cell count of 6400/muL.
216 sis of the validation cohort confirmed white blood cell count of more than 20000 cells/microL (odds r
217 s with eosinophil counts (out of total white blood cell count) of 2% or greater (rate ratio 1.22 [95%
218                  Therefore, monitoring white blood cell count on a regular basis can potentially help
219 ins vs. late immunotherapy), and a low white blood cell count on the first cerebrospinal examination
220 ficant interaction between PM(2.5) and white blood cell count only in the model of lung function (p=0
221      New biomarkers, beyond a standard white blood cell count or absolute neutrophil count, continue
222  positivity, and inflammatory markers (white blood cell count or cytokine level).
223                            Fever, high white blood cell count or immature forms, low Glasgow coma sco
224 thy, longer length of stay, and higher white blood cell count or MELD score at discharge.
225    When outcomes were adjusted for the white blood cell count or the relapse risk score, none of thes
226 % CI, .006-.23], P < .0001); and lower white blood cell count (OR = 0.93 [95% CI, .89-.97], P < .0001
227  Model for End-Stage Liver Disease and white blood cell count (OR, 4.68; 95% CI, 1.80-12.17; P = .001
228 linical database with 51 142 observations of blood cell counts over 3 years confirmed a corresponding
229 r-alpha receptor 2, interleukin-6, and white blood cell count), oxidative stress (8-isoprostane and t
230 ereas it was inversely associated with white blood cell count (P < 0.0001).
231 ody mass index (BMI; P = .003), higher white blood cell count (P = .005), and higher D-dimer levels (
232 1), lower hemoglobin (P = .01), higher white blood cell count (P = .03) and percentage blood blasts (
233 < .001), and had a higher presentation white blood cell count (P = .04), but not a higher incidence o
234 evel, hypertension (each P < .01), and white blood cell count (P = .04).
235 s (multiple regression, P = 0.019) and white blood cell count (P = 0.032), whereas the number of teet
236 ted with older age (P < .0001), higher white blood cell counts (P < .0001), cytogenetically normal AM
237                                  No complete blood cell count parameter at commonly used or optimal t
238   Sensitivities were low for common complete blood cell count parameter thresholds: white blood cell
239  for clinical examination findings and white blood cell count parameters compared with a valid refere
240 estimate the accuracy of individual complete blood cell count parameters to identify febrile infants
241  and/or bacterial meningitis, using complete blood cell count parameters.
242 own BT risk factors, such as age, sex, white blood cell count, percentage of blasts, IPSS prognostic
243  myocardial and serum cytokines, blood white blood cell counts, peritoneal neutrophil recruitment, ch
244 se, we propose a unique low cost device as a blood cell counting platform.
245 ttings, abnormal temperature, abnormal white blood cell count, purulent pulmonary secretions defined
246     Mutation-positive non-MPNs with elevated blood cell counts raise concerns of MPN underdiagnosis i
247 was provided in the outpatient setting until blood cell count recovery (median, 21 days; range, 2-45
248 fter induction or salvage chemotherapy until blood cell count recovery, with resulting prolonged inpa
249 scular volume of 101 fL and otherwise normal blood cell counts; reticulocytes, 0.98%; stable creatini
250 sing alemtuzumab, an anti-CD52 antibody, her blood cell counts returned to normal and she has remaine
251                                          His blood cell count revealed hypereosinophilia.
252 tigations including HCV-RNA levels, complete blood cell counts, serum levels of homocysteine, ALT, al
253                    Age, sex, admission white blood cell count, surgical approach (open vs laparoscopi
254 tologic/oxygen-carrying capacity), and white blood cell count (systemic inflammation).
255  had higher median cerebrospinal fluid white blood cell count than noninfectious etiologies.
256 ents were more likely to have a normal white blood cell count than the control group (82% vs 52%; OR,
257          Mutation positives displayed higher blood cell counts than nonmutated participants, and 42%
258      These women had significantly lower CD4 blood cell counts than the HIV(-) LR women but comparabl
259 granulocytosis was due to the lifelong white blood cell counts that are now required for clozapine tr
260 d evidence for associations between mLOY and blood cell counts that should stimulate investigation of
261 tension, C-reactive protein level, and white blood cell count, this association remained significant
262 sion, defined as a decline in absolute white blood cell count to 2.5 x 109/L or less or a decline in
263 erum levels of albumin and sodium, and white blood cell count, to identify metabolites that differed
264  blood films and his method for differential blood cell counting using coal tar dyes and mentions the
265 moglobin, potassium, sodium, urea, and white blood cell count) using tree models to implement the two
266                            An abnormal white blood cell count usually results from an infection, canc
267 C-reactive protein, plasma fibrinogen, white blood cell count, vitamin D, high-density lipoprotein ch
268                          The patient's white blood cell count was 6.8 x 10(9)/L.
269                The highest quartile of white blood cell count was associated with lower lung function
270 nectomy, hepatitis C, smoking, or high white blood cell count was associated with TRV elevation.
271                                              Blood cell count was checked every 2 wk after the first
272                                    The white blood cell count was determined by measuring the colorim
273                                        White blood cell count was higher in the n-3 PUFA group at the
274                                        White blood cell count was normal, and there was no inflammato
275 tion (QTc), deceleration capacity, and white blood cell count was not associated with UFP, AMP, and P
276                                            A blood cell count was performed weekly to monitor hematol
277                     The median initial white blood cell count was significantly higher in patients wh
278 ignificantly longer in patients with a white blood cell count (WBC) <50 Giga per liter (G/L) (P < .00
279 l PheWAS using an individual's maximum white blood cell count (WBC) as a continuous measure.
280 flammation, fluid, appendicoliths, and white blood cell count (WBC) were significantly correlated wit
281 ive protein (CRP), interleukin (IL)-6, white blood cell count (WBC), vascular cell adhesion molecule
282 le P-selectin (sCD62P) concentrations; white blood cell count (WBC); heart rate; and blood pressure.
283 A, CSF to serum albumin ratio, and CSF white blood cell counts (WBC), neopterin levels, and concentra
284 lipid levels, hepatic function, and complete blood cell count were evaluated.
285  No significant differences in sex and white blood cell count were found.
286 , C-reactive protein >/=0.9 mg/dl, and white blood cell count were independent predictors of recurren
287 infection, and elevated urea level and white blood cell count were independently associated with poor
288 F risk (all P<0.05); serum albumin and white blood cell count were not.
289 logy, complete metabolic panel, and complete blood cell count were performed at 4 hours after CR.
290            Her coagulation profile and white blood cell count were within normal limits.
291 d fluctuations in cervical and vaginal white blood cell counts were also evaluated at each study visi
292 een mLOY, detected by genotyping arrays, and blood cell counts were assessed by multivariable linear
293                                        White blood cell counts were elevated (>10 x 10(9)/L) in 23% o
294 n PV, whereas response in platelet and white blood cell counts were predictive of less thrombohemorrh
295 Pertinent laboratory values, including white blood cell count, were normal.
296 is easily calculated from a routine complete blood cell count with differentials.
297 ed total protein and a mildly elevated white blood cell count with lymphocytic predominance.
298       The blood of SCD mice had higher white blood cell counts, with an increased percentage of lymph
299 netic resonance imaging (CMR) and a complete blood cell count within 24 hours before and after PCI we
300 lls, severely reduced spleen EMH and reduced blood cell counts without affecting bone marrow haematop

 
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