Reference value of younger people's erythrocyte sedimentation rate and altitude

2004 ◽  
Vol 143 (6) ◽  
pp. 367-368 ◽  
Author(s):  
Ge Miao
Keyword(s):  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Reference Value ◽  
Erythrocyte Sedimentation

scholarly journals The Reference Value of Erythrocyte Sedimentation Rate for Differential Diagnosis of Rheumatic Fever Among Bangladeshi Children

1996 ◽  
Vol 6 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Mohammad Zaman ◽  
Nobuo Yoshiike ◽  
Anisul Chowdhury ◽  
Jasimuddin Ahmed ◽  
M. Hassan ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Rheumatic Fever ◽  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Reference Value ◽  
Erythrocyte Sedimentation

The Relationship Between the Reference Value of Erythrocyte Sedimentation Rate and Geographical Factors

2001 ◽  
Vol 21 (3) ◽  
pp. 287-292 ◽  
Author(s):  
Ge Miao
Keyword(s):  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Stepwise Regression ◽  
Reference Value ◽  
Scientific Basis ◽  
Regression Equations ◽  
Chinese People ◽  
Erythrocyte Sedimentation ◽  
Geographical Factors ◽  
The Relationship

In order to provide a scientific basis for a unified standard of the reference value of erythrocyte sedimentation rate (ESR) in China, the reference value of healthy people's ESR has been collected. The relationship between the reference value of ESR and geographical factors is examined in this paper. Altitude is the most important factor affecting the reference value of ESR, which decreases with increasing altitude; the relationship is quite significant. The method of stepwise regression analysis was used to deduce two regression equations: Ŷ1=12.08–.00222X1+0.00114X5 ± 2.95, Ŷ2=18.81–0.00323X1+0.239X4 ± 4.70. If the geographical factor value of a particular area in China is known, the reference value of ESR of Chinese people can be calculated by means of the regression equations. Furthermore, the dependence on geographical factors in China can be classified as six districts: Qingzang, Southwest, Northwest, Southeast, North and Northeast.

Prognostic Value of Erythrocyte Sedimentation Rate in Patients with Colorectal Cancer

2008 ◽  
Vol 24 (5) ◽  
pp. 351
Author(s):  
Young Ki Kim ◽  
Seong Woo Hong ◽  
Jung Woo Chun ◽  
Yeo Goo Chang ◽  
In Wook Paik ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Prognostic Value ◽  
Erythrocyte Sedimentation

Diagnostic value of procalcitonin, erythrocyte sedimentation rate (ESR), quantitative C-reactive protein (CRP) and clinical findings associated with osteomyelitis in patients with diabetic foot

2021 ◽  
pp. 1-7
Author(s):  
Zahra Soleimani ◽  
Fatemeh Amighi ◽  
Zarichehr Vakili ◽  
Mansooreh Momen-Heravi ◽  
Seyyed Alireza Moravveji
Keyword(s):  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Roc Curve ◽  
Diabetic Foot ◽  
Diagnostic Value ◽  
Clinical Findings ◽  
Diabetic Patients ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Erythrocyte Sedimentation

BACKGROUND: The diagnosis of osteomyelitis is a key step of diabetic foot management. Procalcitonin (PCT) is a novel infection marker. This study aimed to investigate the diagnostic value of procalcitonin and other conventional infection markers and clinical findings in diagnosis of osteomyelitis in diabetic foot patients. METHODS AND MATERIALS: This diagnostic value study was carried out on ninety patients with diabetic infected foot ulcers admitted in Kashan Beheshti Hospital, 2016. After obtaining consent, 10 cc blood sample was taken for measuring serum PCT, CBC, ESR, CRP and FBS. Clinical characteristics of the wounds were noted. Magnetic resonance imaging of the foot was performed in all patients to diagnose osteomyelitis. All statistical analyses were done with the use of SPSS-16. RESULTS: PCT levels were 0.13 ± 0.02 ng/mili patients with osteomyelitis (n= 45) and 0.04 ± 0.02 ng/ml in patients without osteomyelitis (n= 45). PCT, Erythrocyte sedimentation rate and C-reactive protein was found significantly higher in patients with osteomyelitis (p< 0.001). The ROC curve was calculated for PCT. The area under the ROC curve for infection identification was 1 (p< 0.001). The best cut-off value for PCT was 0.085 ng/ml. Sensitivity, specificity, and positive and negative predictive values were 100%, 97.8%,97.8% and 100%, respectively. CONCLUSION: In this group of patients, PCT was useful to discriminate patients with bone infection. Also, Erythrocyte sedimentation rate and C-reactive protein can be used as a marker of osteomyelitis in diabetic patients.

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