The metabolic syndrome (MetS) is characterized by having three or more of these risk factors: increased blood glucose (Glc), serum triglycerides (TG), blood pressure (BP), waist circumference (WC), and reduced high-density lipoprotein (HDL). Mobile diagnostics using point-of-care (POC) blood analyzers could help identify individuals at risk. This pilot study assessed reliability and validity of MetS risk factor analysis using POC analyzers in a mobile examination unit. Fifty participants (52 ± 7y; 170 ± 10 cm; 80 ± 19 kg, m/f: 21/29) were included for analysis. The mobile examination unit was equipped with different POC analyzers (Alere, LABGEO, CardioChek for Glc, HDL, TG; Quo-Test-A1C Testkit for HbA1c‘). Agreement compared to a reference laboratory (RefLab) was analyzed by Bland-Altman (bias, Limits of Agreement (LoA)), ICC, SEM and McNemar’s test. Test-retest analysis was assessed on two different days (max. two weeks apart) using Spearman’s rho, ICC, test-retest variability (TRV%) and McNemar’s test. Based on the smallest bias and low number of missing values (Glc: -5 [LoA − 25 to 6] mg/dl; TG: 8 [LoA − 58 to 30] mg/dl; HDL: -2 [LoA − 14 to 9] mg/dl), and the highest agreement in MetS diagnosis compared to the results of RefLab, the Alere POC device was chosen. Test-retest reliability (n = 16) for MetS risk factors and HbA1c measured in the mobile setup ranged from poor to excellent with low TRV (0.9–5.8%). Risk factor classification and MetS diagnosis did not differ between measurement days. A mobile setup using the Alere POC analyzer could be used as a valid mobile screening method for MetS to ensure early detection of risk factors.
Accurate blood glucose measurement is essential for the diagnosis and management of diabetes mellitus. This study evaluated the precision and accuracy of three point-of-care testing (POCT) glucose analyzers—Accu-Chek, Accu-ANSWER, and VivaChek—against the standard laboratory glucose oxidase method. A total of 97 participants were recruited, and venous blood samples were analyzed using both POCT devices and the reference method. Results demonstrated that all three POCT devices consistently overestimated blood glucose levels, exhibiting a systematic positive bias ranging from +18.56 mg/dL to +19.99 mg/dL. Bland–Altman analysis revealed wide limits of agreement and evidence of proportional bias, with inaccuracies increasing at higher glucose concentrations. Only 39.18% of measurements met the ISO 15197:2013 accuracy criteria (±15%), while over 40% deviated by more than 25%. Among the devices, VivaChek showed relatively better precision, whereas Accu-Chek demonstrated the widest variability and lowest agreement with the reference method. Despite their convenience and rapid turnaround time, the findings indicate that these POCT devices have limited reliability for critical clinical decision-making. The study concludes that POCT glucose meters should be used cautiously and primarily for monitoring trends rather than definitive diagnosis or therapeutic decisions.
E. Nwobodo, Nneji Tochukwu Emmanuel· IOASD Journal of Medical and...· 0 citations
Introduction: Point-of-care testing (POCT) for blood glucose measurement is increasingly used because it provides rapid results for clinical decision-making. However, its analytical performance must be evaluated before routine implementation. This study aimed to compare the precision, accuracy, and agreement of the Easy Touch and Emtech BG Max 1 POCT devices with the Glucose Oxidase–Peroxidase (GOD-PAP) reference method for blood glucose measurement.
Research Methodology: An observational analytic study with a cross-sectional design was conducted at the Buton Tengah Regional General Hospital Laboratory, Indonesia. Fifty venous blood samples were analyzed using the Easy Touch and Emtech BG Max 1 POCT devices and the GOD-PAP laboratory method as the reference standard. Precision was evaluated using the coefficient of variation (CV), accuracy was assessed through percentage bias and compliance with ISO 15197:2013, and agreement was determined using nonparametric Bland–Altman analysis.
Results: The CV values were 5.54% for Easy Touch, 1.76% for Emtech BG Max 1, and 0.80% for the GOD-PAP method. The mean bias was 7.74% for Easy Touch and −5.78% for Emtech BG Max 1. Compliance with ISO 15197:2013 was achieved in 62% of Easy Touch measurements and 90% of Emtech BG Max 1 measurements. Bland–Altman analysis demonstrated good agreement between both POCT devices and the reference method. However, Emtech BG Max 1 showed narrower limits of agreement and closer agreement with GOD-PAP than Easy Touch.
Conclusion: Both POCT devices demonstrated acceptable analytical agreement with the GOD-PAP method for blood glucose testing. However, Emtech BG Max 1 exhibited superior precision, lower analytical bias, and higher compliance with ISO 15197:2013, indicating greater reliability for routine clinical use. Periodic analytical performance evaluation is recommended to maintain the quality and accuracy of POCT-based blood glucose testing.
Muhammad Jalil Razak, N. Ismi, Marisca Jenice Sanakya et al.· Journal Interdisciplinary He...· 0 citations
Aims Metabolic syndrome (MetS) is diagnosed using fixed thresholds that may not fully reflect the continuous accumulation of cardio-metabolic risk. We investigated whether whole blood viscosity (WBV) increases progressively with increasing MetS burden and explored the relative contribution of individual MetS components to hemorheologic alterations. Methods We analyzed 38,574 adults (21,914 men and 16,660 women) who underwent comprehensive health examinations between January and April 2021. Whole blood viscosity was measured by cone-plate viscometry at shear rates of 300 s-1 (systolic blood viscosity [SBV]) and 5 s-1 (diastolic blood viscosity [DBV]). MetS was defined according to NCEP-ATP III criteria. Associations between WBV and MetS burden were evaluated using logistic regression, ANCOVA, regression tree analyses, ROC analyses, and sex-by-viscosity interaction testing. Results WBV increased progressively with each additional MetS component in both sexes (p for trend <0.001). After full adjustment for hematocrit, age, smoking status, eGFR, white blood cell count, and AST/ALT, higher SBV was associated with MetS in both women (OR 1.45, 95% CI 1.32–1.58, per 1-SD increase) and men (OR 1.27, 95% CI 1.22–1.33, per 1-SD increase). Regression tree analyses identified triglycerides and waist circumference as metabolic factors associated with elevated WBV. Sex-stratified analyses demonstrated a stronger association between WBV and MetS in women than in men. Conclusions WBV increased in parallel with accumulating cardio-metabolic risk burden, including among individuals who did not meet diagnostic criteria for MetS. WBV may serve as a complementary marker associated with metabolic risk burden, particularly among women and individuals with hypertriglyceridemia or central adiposity.
D. Lee, Byoungduck Han, Hongyup Ahn et al.· Frontiers in Endocrinology· 0 citations
Bardet-Biedl syndrome (BBS) carries early cardiometabolic risk, yet pediatric screening is complicated by growth and puberty. The metabolic syndrome (MetS) z-score provides a continuous benchmark for clustered risk. The single-point insulin sensitivity estimator (SPISE), based on body mass index (BMI) and fasting lipids, may offer a practical alternative where insulin testing is impractical. We aimed to assess the association between SPISE and cardiometabolic burden in children with molecularly confirmed BBS, and to compare its ability to identify MetS against the MetS z-score benchmark and insulin-derived indices. Single-center retrospective pilot study including children/adolescents with genetically confirmed BBS who underwent standardized anthropometry and metabolic profiling (fasting lipids, glucose, insulin; OGTT when available). SPISE–MetS z-score associations were examined using Spearman and adjusted analyses. In adolescents (≥ 10 years), MetS discrimination was evaluated with ROC curves for SPISE, TG/HDL, and homeostatic model assessment for insulin resistance (HOMA-IR), with pairwise DeLong comparisons and Youden-optimal thresholds. Fourteen participants (7 females, 7 males) were evaluated. Median age at last visit was 11.7 years [IQR 7.6–15.5]; BMI SDS was 3.05 [2.47–3.57]. The median MetS z-score was 1.60 [0.90–1.75]. SPISE correlated inversely with the MetS z-score (ρ=-0.57, p = 0.021), and adjusted models (age, sex, BMI-SDS) retained significance. Among adolescents (n = 10), SPISE showed the highest AUC for MetS (AUC 0.95; 95% CI 0.82–1.00) versus TG/HDL (AUC 0.81) and HOMA-IR (AUC 0.60); pairwise differences were not statistically significant. Youden-optimal SPISE ≤ 3.34 identified MetS with high sensitivity in adolescents. Confidence intervals were wide, reflecting the small sample size. In this single-center pediatric BBS cohort, SPISE tracked continuous MetS burden and showed numerically stronger discrimination for MetS than insulin-derived indices. These findings highlight the potential utility of SPISE as a feasible tool for cardiometabolic monitoring in syndromic obesity, where laboratory access may be limited. Beyond BBS, SPISE may support early risk stratification and follow-up in rare obesity models of metabolic risk, but multicenter prospective validation remains warranted.
Tuğçe Kandemir, Melek Yildiz, U. Tercan et al.· Orphanet Journal of Rare Dis...· 0 citations
Background:Diabetes mellitus is a growing global health concern, with rising prevalence particularly in low-and middle-income countries. Accurate blood glucose estimation is essential for diagnosis, monitoring, and prevention of complications. While glucometers provide rapid, convenient results at the point ofcare, laboratory autoanalyzer are considered more reliable. This study aimed to compare the accuracy and correlation between these two methods.Methodology: A comparative study was conducted on 150 patients above 18 years, including both diabetic and non-diabetic individuals. Capillary blood glucose was measured using a glucometer via finger prick, while venous blood samples were analysed using a laboratory autoanalyzer. Statistical analysis done by paired t-test.Result:The mean blood glucose level obtained from the glucometer was approximately 8.49 mg/dL higher than that of the autoanalyzer. A strong positive correlation was observed (r = 0.959), indicating that both methods follow a similar trend. However, the paired t-test (t = 4.68, p < 0.001) showed a statistically significant difference.Discussion:The findings indicate that glucometers tend to overestimate glucose levels, consistent with previous studies. This discrepancy may arise due to operational errors such as expired strips, improper sample handling, or device calibration issues. Such inaccuracies can lead to inappropriate clinical decisions, especially in critical glycemic conditions.Conclusion:Although glucometers are useful for routine monitoring and point-of-care testing, they are not fully interchangeable with laboratory methods due to significant bias. Laboratory autoanalyzers remain the gold standard for accurate glucose estimation.
Vaaruni Sharma, Ajay Puri· Asian Journal of Medical Res...· 0 citations
POCT glucose measurements show excellent correlation with laboratory auto-analyser results but exhibit systematic and proportional bias, particularly at higher glucose levels, particularly at higher glucose levels.
Ufuoma Ohwo, K. Digban, C. Okafor· Apollo Medicine· 0 citations
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