Multidisciplinary training activities for decreasing preanalytical mistakes in samples from primary care.

BACKGROUND: The presence of preanalytical mistakes (PM) in samples from primary care centres (PCC) is a widely studied topic. Different correcting strategies have been proposed, with variable success. We planned a series of multidisciplinary sessions for clinical update, with the aim to decrease PM rates in samples from PCC. METHODS: The incidence of PM in samples from PCC processed at the laboratories of University Hospital Virgen de la Victoria (LAB1) and University Hospital Juan Ramon Jimenez (LAB2) was assessed during two time periods (October to November 2013 and January to May 2014). Clinical update sessions were conducted between periods (2014). Differences in PM rates between observation periods were evaluated. RESULTS: With respect to 2014, we observed a significant reduction of PM rates in blood samples processed at LAB1 during 2015, whereas those in LAB2 were slightly increased. The most common PMs were haemolysed sample at LAB1 and missed sample at LAB2. CONCLUSIONS: Although the presence of PM remains slightly high, there was a significant reduction after the clinical update sessions in LAB1, where the most frequent PM was haemolysed sample. In contrast, the PM rates were slightly increased at LAB2, and the main source was missed sample. This might be explained, at least in part, by different problems associated with sample transportation, and by the delay in transferring acquired knowledge into clinical practice. Implementation of regular programme of update sessions and improvements in sample transportation might help to reduce the PM presence in our area.

Triglyceride levels and apolipoprotein E polymorphism in patients with acute pancreatitis.

BACKGROUND: Hypertriglyceridemia is an unusual cause of acute pancreatitis and sometimes considered to be an epiphenomenon. This study aimed to investigate the clinical and analytical features and the APOE genotypes in patients with acute pancreatitis and severe hypertriglyceridemia. METHODS: We undertook a one-year, prospective study of patients with acute pancreatitis whose first laboratory analysis on admission to the emergency department included measurement of serum triglycerides. The APOE genotype was determined and the patients answered an established questionnaire within the first 24 hours concerning their alcohol consumption, the presence of co-morbidities and any medications being taken. The patients' progression, etiological diagnosis, hospital stay and clinical and radiological severity were all recorded. RESULTS: Hypertriglyceridemia was responsible for 7 of 133 cases of pancreatitis (5%); the remaining cases were of biliary (53%), idiopathic (26%), alcoholic (11%) or other (5%) origin. Compared with these remaining cases, the patients with hypertriglyceridemia were significantly younger, had more relapses, and more often had diabetes mellitus. They usually consumed alcohol or consumed it excessively on the days before admission. Also, the ε4 allele of the APOE gene was more common in this group (P<0.05). CONCLUSION: One of 20 episodes of acute pancreatitis is caused by hypertriglyceridemia and it is linked to genetic (ε4 allele) and comorbid factors such as diabetes and, especially, alcohol consumption.

Preanalytical errors in emergency department samples: Investigating error sources.

BACKGROUND: The presence of preanalytical errors is a recurring fact in all areas of healthcare that send samples to laboratories. Increasing the knowledge of possible sources of error in the preanalytical phase has been the objective of this group during the last 10 years. METHODS: In this study, descriptive research has been carried out using professionals' opinions obtained by means of the Strengths, Weaknesses, Opportunities, and Threats method in a focus group. RESULTS: The opinions expressed within the focus group have emphasised the importance of patients' safety and willingness for the introduction of a computerized analytical module. The most commented weakness in both hospitals was the transport of samples through the pneumatic tube. Improving the duration of workers' contracts, especially in the laboratory, and creating a circuit for professional's localization during the work shift to facilitate potential error solving are some opportunities for the future. CONCLUSIONS: Different approaches have been developed depending on the healthcare scenario. For this, establishing a flow of information between the different professionals allows identifying identical aspects through a priori, different points of view. The line to follow is to improve the safety of the patient and also to give professionals an opportunity to express themselves.

Preanalytical mistakes in samples from primary care patients.

BACKGROUND: Preanalytical mistakes (PAMs) in samples usually led to rejection upon arrival to the clinical laboratory. However, PAMs might not always be detected and result in clinical problems. Thus, PAMs should be minimized. We detected PAMs in samples from Primary Health Care Centres (PHCC) served by our central laboratory. Thus, the goal of this study was to describe the number and types of PAMs, and to suggest some strategies for improvement. METHODS: The presence of PAMs, as sample rejection criteria, in samples submitted from PHCC to our laboratory during October and November 2007 was retrospectively analysed. RESULTS: Overall, 3885 PAMs (7.4%) were detected from 52,669 samples for blood analyses. This included missed samples (n=1763; 45.4% of all PAMs, 3.3% of all samples), haemolysed samples (n=1408; 36.2% and 2.7%, respectively), coagulated samples (n=391; 10% and 0.7%, respectively), incorrect sample volume (n=110; 2.8% and 0.2%, respectively), and others (n=213; 5.5% and 0.4%, respectively). For urine samples (n=18,852), 1567 of the samples were missing (8.3%). CONCLUSIONS: We found the proportion of PAMs in blood and urine samples to be 3-fold higher than that reported in the literature. Therefore, strategies for improvement directed towards the staff involved, as well as an exhaustive audit of preanalytical process are needed. To attain this goal, we first implemented a continued education programme, financed by our Regional Health Service and focused in Primary Care Nurses.

Association between seasonal serum folate levels and ultraviolet radiation.

UV radiation has been consistently reported to cause folate photodegradation in vitro and in human skin. Seasonal variations in UV radiation might explain seasonal changes in folate levels in blood. Yet, few studies have addressed this phenomenon. The main objective of this study was to investigate whether a relationship exists between seasonal variations in serum folate levels in a population of Spain (Latitude: 36° 41' 6.88″; Longitude: 4° 30' 0.64″) and the annual variations of solar ultraviolet reached in the localization. From a sample of 118,831 serum folate determinations, two studies were performed. The first one, which included all subjects, showed a decreased in mean folate concentrations in all seasons with respect to winter with lower values in summer. The risk of folate deficiency was 1.37 times greater in summer than in winter (95%CI: 1.29-1.46). In the second study, subjects with a first folate determination in winter and a second one in summer were 3.32 more likely to develop folate deficiency than those with a first folate determination in summer and a second one in winter (95%CI: 1.55 to 7.11). Folate levels showed a seasonal variation inversely related to solar total UV radiation reached in our location, with maximum daily doses of 5000 J m-2 reached in June. A gradual increase in percentage of folate deficiency is observed since spring. So, patients with folate levels close to deficiency are at a higher risk of having folate deficiency in summer.

Role of training activities for the reduction of pre-analytical errors in laboratory samples from primary care.

BACKGROUND: The presence of pre-analytical errors (PE) is a usual contingency in laboratories. The incidence may increase where it is difficult to control that period, as it is the case with samples sent from primary care (PC) to clinical reference laboratory. Detection of a large number of PE in PC samples in our Institution led to the development and implementation of preventive strategies. The first of these has been the realization of a cycle of educational sessions for PC nurses, followed by the evaluation of their impact on PE number. METHODS: The incidence of PE was assessed in two periods, before (October-November 2007) and after (October-November, 2009) the implementation of educational sessions. Eleven PC centers in the urban area and 17 in the rural area participated. In the urban area, samples were withdrawn by any PC nurse; in the rural area, samples were obtained by the patient's reference nurse. The types of analyzed PE included missed sample (MS), hemolyzed sample (HS), coagulated sample (CS), incorrect sample (ISV) and others (OPE), such as lipemic or icteric serum or plasma. RESULTS: In the former period, we received 52,669 blood samples and 18,852 urine samples, detecting 3885 (7.5%) and 1567 (8.3%) PEs, respectively. After the educational intervention, there were 52,659 and 19,048 samples with 5057 (9.6%) and 1.256 (6.5%) PEs, respectively (p<0.001). According to the type of PE, the incidents compared before and after compared incidences were: MS, 4.8% vs. 3.8%, p<0.001; HS, 1.97% vs. 3.9%, p<0.001; CS, 0.54% vs. 0.25%, p<0.001; ISV, 0.15% vs. 0.19% p=0.08; and OPE, 0.3% vs. 0.42%, p<0.001. CONCLUSIONS: Surprisingly the PE incidence increased after the educational intervention, although it should be noted that it was primarily due to the increase of HS, as the other EP incidence decreased (MS and CS) or remained unchanged (ISV). This seems to indicate the need for a comprehensive approach to reduce the incidence of errors in the pre-analytical period, as one stage interventions do not seem to be effective enough.