Trimester pattern of change and reference ranges of hematological profile among Sudanese women with normal pregnancy
AbstractTrimester specific reference ranges of hematological indices were described in several populations; however, comparable reports among Sudanese women with normal pregnancy are lacking. To evaluate trimester pattern of change and reference ranges of hematological profile among Sudanese women with normal pregnancy, we followed 143 women with singleton gestation since early pregnancy until the third trimester in Saad Abu-Alela Hospital, Khartoum, Sudan, during the period of January-December 2015. Obstetrics and medical history was gathered using questionnaire and hematological profile was investigated using hemo-analyser. The first, second and third trimester mean (SD) [5th- 95th centile] of hematological profile were as follow: RBC counts 4.30 (0.36) [3.69- 4.93], 4.35 (0.36) [3.69-4.93], 4.08 (0.44) [3.44-4.78] ×106/mm3; hemoglobin concentration 10.81 (1.22) [8.92-12.74], 10.62 (0.93) [9.00-12.10], 10.83 (1.13) [8.82- 12.60] g/dL; hematocrit 35.38 (3.52) [30.12-40.30], 34.43 (2.51) [30.58-38.23], 35.17 (3.18) 29.66-40.04] %; WBC counts 7.69 (1.96) [4.36-11.20], 8.45 (1.97) [5.48- 12.13], 8.36 (2.11) [5.00-11.96] ×103/mm3; platelet counts 278.02 (66.93) [182.6- 418.0], 251.96 (64.17) [163.8-381.8], 238.36 (57.10) [150.4-346.2] ×103/mm3. The present study is the first to establish trimester specific, reference range for hematological profile among Sudanese women with normal pregnancy. The trimester reference range of RBC, WBC and platelets and other hematological indices are mostly parallel to international records.
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
Copyright (c) 2017 Duria A. Rayis, Mohamed A. Ahmed, Hafez Abdel-Moneim, Ishag Adam, Mohamed Faisal Lutfi
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.