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1.
J Blood Med ; 12: 839-847, 2021.
Article in English | MEDLINE | ID: mdl-34557051

ABSTRACT

BACKGROUND: The adverse health effects of chronic gasoline exposure may be related to impairment of the hematopoietic system with bone marrow suppression, an increased risk of blood cell morphology abnormality and developing cancer. OBJECTIVE: To assess the effect of gasoline exposure on hematological parameters among gas station workers in Mekelle City, Tigray Region, Northern Ethiopia. METHODS: This cross-sectional study was carried out on 43 subjects (exposed group) and 77 subjects (unexposed group) with matched age and sex. Socio-demographic characteristics and duration of exposure data were collected using a structured questionnaire and an observation checklist. Sysmex XP-300 was used for hematological analysis and stained peripheral blood smear was examined for any abnormality. Data were entered and analyzed using SPSS version 23. RESULTS: Of exposed individuals, 28/43 (65.1%) and 49/77 (63.6%) of controls were males. The average exposure time was 5.19±4.38 years, with an average working hour of 11.74±1.89 hours/day. The mean RBC count (1012/L), HCT (%), HGB (g/dl) and platelets count (109/L) of the exposed group were significantly lower (4.88±0.573, 43.29±3.71, 15.04±1.33 and 248.95±58.19) compared with controls (5.35±0.533, 44.95±3.10, 15.59±1.26 and 292.45±62.17) at p<0.05, respectively. The MCH (pg) (30.48±2.06 vs 29.52±1.66) and MCHC (g/dl) (34.83±0.988 vs 34.32±0.927) were significantly higher in the exposed group compared with controls (p<0.05). HCT, RBC, HGB and platelet counts were significantly decreased with increased years of exposure (p<0.05). The peripheral blood film examination revealed basophilic stippling and macrocytosis in 9.3% of the exposed group. CONCLUSION: Long-term exposure to gasoline at gas stations affected RBC parameters and platelet count. A significant negative correlation was noted between duration of exposure and HGB, HCT and platelet count, warranting implementation of protective measures at gas stations.

2.
PLoS One ; 15(10): e0239716, 2020.
Article in English | MEDLINE | ID: mdl-33035217

ABSTRACT

BACKGROUND: Volatile organic compounds such as gasoline and other fuels are associated with a wide variety of deleterious health effects including liver and kidney diseases. Gasoline station workers are exposed to a mixture of hydrocarbons during dispensing. However, no published studies investigated the liver and renal function tests of gasoline station workers in Ethiopia. Therefore the aim of this study was to assess liver and renal function tests among gasoline station workers. METHOD: A comparative cross sectional study was conduct from January 2018 to April 2018 at Mekelle city, Tigray region, Northern Ethiopia. Liver and renal function tests were analyzed on gasoline exposed (n = 43) and controls (n = 47) by Pentra C400 automated clinical chemistry analyzer. Student independent t-test and one way-ANOVA statistical methods were employed using SPSS Ver23. P-value < 0.05 was regarded as statistically significant. RESULT: The mean level of ALT, AST, Urea, creatinine, and uric acid was significantly higher among gasoline stations workers when compared to control study participants. There was also a significant increase in ALT, AST, Urea, creatinine and uric acid among gasoline stations with above 6 years exposure when compared with those exposed for ≤2 and3-6years. CONCLUSION: These findings suggest that increasing liver and renal parameters may be associated with exposure to gasoline and it is dependent on time of exposure to gasoline.


Subject(s)
Gasoline/analysis , Kidney/pathology , Liver/pathology , Adult , Benzene/adverse effects , Benzene/analysis , Cross-Sectional Studies , Ethiopia/epidemiology , Female , Gasoline/adverse effects , Humans , Kidney/chemistry , Liver/chemistry , Male , Middle Aged , Occupational Diseases , Occupational Exposure/analysis , Transportation Facilities
3.
PLoS One ; 14(11): e0225536, 2019.
Article in English | MEDLINE | ID: mdl-31751422

ABSTRACT

BACKGROUND: Platelet parameters alterations are one of the most commonly identified hematological changes in preeclampsia (PE). However, their functions as a tool for prediction and prognosis of PE have not been extensively studied in developing countries. The aim of this study was to compare platelet count (PC), and platelet indices (mean platelet volume (MPV), platelet distribution width (PDW), and platelet large cell ratio (PLCR)) between preeclamptic and normotensive (NT) pregnant women and assess their role in diagnosis and prediction of PE development. METHODS: A cross sectional comparative study was conducted at Ayder comprehensive specialized hospital (ACSH) and Mekelle general hospital (MGH) from January to March 2017. Platelet parameters of mild preeclamptic (mPE) (n = 35), severe preeclamptic (sPE) (n = 44) and NT pregnant women (n = 140) were analyzed using SYSMEX-XT 4000i automated hematology analyzer. One-way ANOVA supplemented with post-hoc test, receiver operating characteristics (ROC) curve and pearson correlation test statistical analyses were performed. P < 0.05 was considered significant. RESULT: Pregnant women with sPE had lower PC as compared with that of mPE and NT women (p<0.05). All platelet indices showed significant increment with severity of PE. PC was negatively correlated with platelet indices. There was a positive correlation among platelet indices. ROC analysis revealed that MPV had the largest area under the ROC curve (0.85; 95%CI (0.79, 0.89)) with cutoff value >9.45fl, sensitivity of 83.5%, specificity of 86.4%, positive predictive value of 77.6% and negative predictive value of 90.3%. CONCLUSION: MPV and PC were identified as good candidates for sPE diagnosis. Because evaluation of platelet parameters is rapid, reliable and economical, they can be utilized as an alternative biomarker for prediction and prognosis of PE.


Subject(s)
Pre-Eclampsia/blood , Pre-Eclampsia/diagnosis , Adult , Case-Control Studies , Cross-Sectional Studies , Early Diagnosis , Female , Hospitals, General , Hospitals, Special , Humans , Maternal Age , Mean Platelet Volume , Middle Aged , Platelet Count , Pregnancy , ROC Curve , Sensitivity and Specificity , Young Adult
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