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Introduction In vitro hemolysis is the primary cause of sample/test rejection by the laboratory. Case report A 10-year-old, admitted with an asthma attack in the emergency-room, medicated with albuterol sulphate (intravenous bronchodilator that could induce hypokalemia), needed laboratory test monitoring. The physician prescribed the technical-nurse to perform blood sampling for complete blood count, electrolytes, glucose, and blood gas analysis-within 30min after therapy. Samples were delivered to laboratory with a note "I had difficult to locate an appropriate access to perform the blood collection". Laboratory results Glucose 4.77 mmol/L. Complete blood count revealed discreet eosinophilia 0.13x109/L, and thrombocytopenia 18x109/L. However, platelet clumps were observed in peripheral blood smear. Blood gas analysis was unreported, laboratory informed that sample had micro clots.Electrolytes laboratory did not report the results; sample hemolyzed. 0.9 g/L of free hemoglobin is the cut-off defined by the laboratory; the sample presented 2.3 g/L of free hemoglobin. 3.9 mmol/L of potassium was the unreported result vs 2.1 mmol/L in the new sample.Briefly, the laboratory technician was trained to hide potassium results on hemolyzed sample due to the potential overestimation. Even if the hemolyzed sample presented a potassium value close to the lower reference range value (3.5-5.1 mmol/L), reporting the potassium result could allow the physician starting proper therapy to revert the hypokalemia by albuterol sulfate. Conclusion The laboratory should be aware of the clinical patient conditions and of the related physician needs, before hiding results. Therefore, both the laboratory and the clinic personnel should communicate in order to guarantee the patient safety. Background Preanalytical problems can be more frequent in case of preterm and term newborns as compared to the general patient population. Here we present the leading preanalytical errors in our laboratory, the prevalence of haemolysis and its impact on laboratory test results, and our efforts to improve the diagnostic workup of newborns' samples. Methods Preanalytical quality indicators were analysed in all samples in 2018. The haemolysis index was measured spectrophotometrically in serum samples in the period of 2012-2018, and the ratio of haemolysed samples and the test rejection rates were analysed. The data of newborns and other patients were analysed separately. Results During the tested year, the leading preanalytical errors were haemolysis in serum samples, inadequate sample identification and clotting of anticoagulated blood regarding all samples or newborns. In this seven-year period the ratio of haemolysed serum samples was 4.00% in all patients and 46.4% in newborns, while the test rejection rates due to haemolysis were 0.57% and 3.71%, respectively. Haemolysis indices were significantly higher in case of newborns than in patients with documented severe intravascular haemolysis which suggests that the major reason of elevated haemolysis indices in newborns was in vitro haemolysis. Accordingly, all C-reactive protein (CRP) results which were rejected by severe haemolysis became reliable after repeating blood sampling. Conclusion Haemolysis is the leading preanalytical problem not only in newborns but also in the general patient population. Our study highlights the importance of automated assessment of serum indices and continuous monitoring of the preanalytical quality indicators and suggests the need for education and blood collection trainings. INTRODUCTION The Gulf Cooperation Council (GCC) member countries include Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and United Arab Emirates. The current study aims to provide an estimate of the population fractions of cancer cases attributable to tobacco smoking in the GCC countries. METHODS Population attributable fraction (PAF) was calculated for cancers that were listed by the International Agency for Research on Cancer (IARC) to have sufficient evidence of causal association. The estimated number of incident cancer cases in GCC countries were retrieved from the IARC GLOBOCAN database. The prevalence estimates of current tobacco smoking among persons aged ≥15 years were obtained from the World Health Organization report on prevalence of tobacco smoking. Relative risk estimates for various cancers were obtained from published meta-analyses. Summary PAFs and cancer cases attributable to tobacco smoking are reported by country, sex, and cancer type. RESULTS Tobacco smoking was responsible for 2536 (16.3%) of cancer cases in GCC countries in 2018. cis-diamminedichloroplatinum II clinical trial It accounted for 22.8% (n=2396) and 2.8% (n=140) of cancer cases among males and females, respectively. Among males, the highest number of cancer incident cases attributable to smoking was lung cancer (807) followed by urinary bladder (328), and colorectal cancer (305). Among females, the highest number of cancer cases attributable to smoking was lung cancer (62) followed by lip and oral cavity (13), and cervical cancer (13). CONCLUSIONS Tobacco smoking accounted for a large portion of cancer cases attributable to preventable risk factors in GCC countries. Preventive efforts focusing on reducing tobacco smoking should be a high priority in GCC countries. © 2020 Al-Zalabani A.H.INTRODUCTION Studies examining e-cigarette use among adolescents in Shanghai, China, have focused largely on middle school students. Given the vast differences between vocational and traditional schools, we aimed to explore school-type differences in e-cigarette use and correlates among adolescents in Shanghai. METHODS The study was conducted in September 2017 through multistage and stratified cluster random sampling, which consisted of 10699 adolescents aged 13-17 years attending traditional and vocational schools in Shanghai. Descriptive statistics and multivariate logistic regressions were conducted to assess the weighted prevalence and correlates of ever e-cigarette use stratified by school type. RESULTS The weighted prevalence of e-cigarette use was 5.21% among all respondents. Although e-cigarette use was more prevalent among students attending vocational schools (p less then 0.001), its correlates were similar across both school types. Among vocational school students, ever tobacco use (OR=3.10; 95% CI 2.
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