| Literature DB >> 31496528 |
Diptiranjan Rout1, Suchet Sachdev1, Neelam Marwaha1.
Abstract
Background & objectives: The non-invasive method of haemoglobin (Hb) estimation has unique advantages of exemption of finger prick and associated pain, over invasive methods. This study was done to compare invasive and non-invasive methods of Hb estimation in blood donors keeping haematology analyzer (HA) as a reference method.Entities:
Keywords: Copper sulphate; HemoCue; haemoglobin; invasive methods; non-invasive methods
Mesh:
Substances:
Year: 2019 PMID: 31496528 PMCID: PMC6755785 DOI: 10.4103/ijmr.IJMR_301_17
Source DB: PubMed Journal: Indian J Med Res ISSN: 0971-5916 Impact factor: 2.375
Fig. 1Comparative column chart showing the stratification of the donors based on haemoglobin values obtained by the different methods.
Fig. 2Comparative Box-Whisker plot showing the distribution of the haemoglobin values as obtained by the haematology analyzer, the HemoCue and the OrSense.
Statistical values of different methods of haemoglobin estimation in blood donors
| Method | Haemoglobin (g/dl) mean±SD (range) | Bias (g/dl) | Mean deviation (g/dl) | ICC |
|---|---|---|---|---|
| HemoCue | 15.03±1.31 (6.6-20.7) | −1.05 | 0.82 | 0.851 |
| OrSense | 14.87±1.03 (10.65-16.7) | −0.89 | 1.00 | 0.726 |
| Haematology analyzer | 13.98±1.27 (6.8-20.3) | - | 0.96 | - |
ICC, intra-class correlation coefficient; SD, standard deviation
Comparison of the haemoglobin (Hb) assessment by test methods with the haematology analyzer (n=1082)
| Haematology analyzer | Donors with Hb <12.5 g/dl | Donors with Hb ≥12.5 g/dl | ||
|---|---|---|---|---|
| Methods | Truly deferred donors (TP) | Falsely accepted donors (FN) | Truly accepted donors (TN) | Falsely deferred donors (FP) |
| CuSO4 (%) | 20 (1.84) | 87 (8.04) | 964 (89.10) | 11 (1.02) |
| HemoCue (%) | 20 (1.84) | 87 (8.04) | 971 (89.75) | 4 (0.37) |
| OrSense (%) | 14 (1.30) | 93 (8.60) | 966 (89.30) | 9 (0.80) |
TP, true positive; FN, false negative; TN, true negative; FP, false positive
Fig. 3Bland-Altman plot of concordance for the different screening methods. (A) HemoCue and the haematology analyzer; (B) OrSense and the haematology analyzer; (C) OrSense (right) and the OrSense (left).
Fig. 4Scatter plot showing comparison between the haemoglobin values estimated by (A) OrSense with respect to haematology analyzer, and (B) HemoCue with respect to haematology analyzer.
Multivariable linear regression analysis of independent variables
| Independent variable | HemoCue | OrSense | ||
|---|---|---|---|---|
| Age | −0.17 (−0.023, −0.010) | <0.001 | −0.004 (−0.010, 0.003) | 0.240 |
| Gender | −0.26 (−0.786, 0.265) | 0.331 | −0.943 (−1.445, −0.440) | <0.001 |
| Weight | 0.005 (0.001, 0.010) | 0.020 | 0.001 (−0.004, 0.005) | 0.719 |
| Pulse rate | −0.009 (−0.015, −0.002) | 0.012 | 0.004 (−0.002, 0.010) | 0.217 |
| SBP | −0.001 (−0.007, 0.005) | 0.800 | −0.010 (−0.015, −0.004) | 0.001 |
| DBP | 0.005 (−0.002, 0.012) | 0.194 | 0.005 (−0.002, 0.012) | 0.133 |
| True value of Hb | 0.748 (0.706, 0.790) | <0.001 | 0.456 (0.416, 0.497) | <0.001 |
SBP, systolic blood pressure; DBP, diastolic blood pressure; Hb, haemoglobin; CI, confidence interval
Fig. 5Comparative receiver operating characteristic (ROC) curve for screening methods (A) OrSense (mean) (OSM) and HemoCue; (B) OrSense (left) (OSL) and OrSense (right) (OSR).
Comparison of sensitivity, specificity, positive predictive value, negative predictive value, accuracy of test methods
| Method | Study | Sample size | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | Accuracy (%) |
|---|---|---|---|---|---|---|---|
| HemoCue | Present study | 1082 | 18.7 | 99.6 | 83.3 | 91.8 | 91.6 |
| Sawant | 400 | 99 | 45 | 43 | 99 | - | |
| Kim | 506 | 42.7 | 98.6 | - | - | - | |
| Zhou | 69 | 94.9 | 76.7 | 84.1 | 92.0 | - | |
| Belardinelli | 445 | 99 | 99.5 | - | - | - | |
| Tondon | 1014 | 99.4 | 84.4 | - | - | - | |
| Ziemann | 9209 | 18.6 | 99.8 | 98.9 | 57.9 | 98.7 | |
| OrSense | Present study | 1082 | 13.1 | 99.1 | 60.9 | 91.2 | 90.6 |
| Kim | 506 | 38.6 | 93.6 | - | - | - | |
| Singh | 485 | 71.7 | 79.5 | 30.2 | 95.8 | - | |
| Belardinelli | 445 | 98 | 97 | - | - | - |
PPV, positive predictive value; NPV, negative predictive value