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Biomedical subjects

Abdurrahman Coskun

Publications and source records attributed to Abdurrahman Coskun.

5 recordsLinked to original sources

Is there a relationship between cord blood pregnancy-associated plasma protein-A and birth weight and length?

BACKGROUND: Infants whose mothers had low serum pregnancy-associated plasma protein-A (PAPP-A) in the first trimester were observed to have intrauterine growth retardation. AIM: Suggesting that PAPP-A plays an important role in the availability and activity of insulin-like growth factors (IGFs), which affect growth, we aimed to investigate cord blood PAPP-A levels of infants with different birth lengths and weights. STUDY DESIGN AND OUTCOME MEASURES: The study included 97 full-term, live-birth neonates. After birth, their lengths and weights were measured. Cord blood PAPP-A levels were measured with an ultra sensitive enzyme-linked immunosorbent assay (ELISA). RESULTS: There was a significant negative correlation between cord blood PAPP-A levels and birth weight (r=-0.23; P=0.023) and length (r=-0.24; P=0.016). Using the classification made according to their length, it was found that newborns with short lengths had significantly higher mean PAPP-A levels than neonates with normal and long lengths (P=0.022; P=0.002, respectively), whereas the difference between infants with normal lengths and infants with long lengths was not found to be statistically significant (P>0.05). On the other hand, there was a difference between the mean PAPP-A levels of the neonate groups classified according to weight; however, these differences were not statistically significant (P>0.05). CONCLUSION: We concluded that increased cord blood PAPP-A levels were associated with birth length and weight decreases; however, PAPP-A levels affected birth length more than birth weight.

Birth Weight↗

Modified Levey-Jennings charts for calculated laboratory tests.

BACKGROUND: In clinical laboratories, many test results such as low-density lipoproteins can be calculated using the results of specifically measured tests. However, quality control programs deal with only measured tests and there is no quality control procedure for calculated tests. I aimed to modify the Levey-Jennings chart for calculated tests as part of a total quality system. METHODS: I developed a method using a Taylor series expansion and alternative equations to obtain the standard deviation of calculated tests and then prepared Levey-Jennings charts for these tests. RESULTS: Preparation of Levey-Jennings charts for low-density lipoproteins (and other calculated tests) was simple, and using this chart increased the reliability of calculated test results. CONCLUSION: Checking only measured tests by quality control procedures before reporting patient results may be inadequate. Preparation of Levey-Jennings charts for calculated tests as part of total quality management will increase the reliability of test results.

Cholesterol↗

Westgard multirule for calculated laboratory tests.

BACKGROUND: In clinical laboratories, many test results such as low-density lipoprotein (LDL)-cholesterol can be calculated using the results of specifically measured tests. However, quality control programs deal only with measured tests and there is no adequate quality assessment procedure for calculated tests. I aimed to apply the Westgard multirule to calculated tests as a part of routine quality procedures. METHODS: I prepared a Levey-Jennings chart for calculated tests and all their measured components (Equation chart) and then applied the Westgard multirule to these tests. RESULTS: Applying the Westgard multirule to calculated LDL-cholesterol (and other calculated tests) was simple, and increased the reliability of the results of the calculated tests. CONCLUSIONS: Checking the reliability of only measured tests by quality control procedures before reporting patient results may be inadequate. Applying the Westgard multirule to calculated tests as part of total quality management will increase the reliability of test results.

Cholesterol, LDL↗

The reliability of calculated laboratory results.

In clinical laboratories, patient results can be obtained in two ways: (i) by direct determination of requested tests using various chemical methods, (ii) by calculation of unknown test results, based on relationships between measured tests. The reliability of measured tests can be checked by various quality control rules. However, no test is performed to check the reliability of calculated data. In this study we develop a method using Taylor series expansion and an alternative equation to obtain the standard deviation of calculated laboratory tests and discuss the reliability of calculated data. To obtain reliable test results by calculation instead of being measured by chemical methods, the standard deviation of each measured component of the equation must be thoroughly analyzed and then the standard deviation of the equation must be determined. We conclude that the analytical coefficient of variation of any measured component must be lower so as to obtain an acceptable analytical coefficient of variation for calculated tests. Otherwise we should measure the concentration of requested tests by chemical methods instead of calculation by equation using specified components.

Analysis of Variance↗