Organised Versus Opportunistic Cervical Cancer Screening in Urban and Rural Regions of Lithuania

Background and Objectives: In 2004, Lithuania started the Nationwide Cervical Cancer Screening Programme. However, screening is more opportunistic than population-wide and the programme’s coverage is insufficient. The aim of this study was to assess the effect of systematic personal invitation on coverage of cervical cancer (CC) screening in urban and rural regions of Lithuania. Materials and Methods: The study was conducted in an urban primary healthcare centre (PHCC) and in a rural PHCC, where prevailing CC screening practice was highly opportunistic. Over the first year, all women aged 25–60 who had not received a Pap smear test within the last three years in urban (n = 1591) and rural (n = 1843) PHCCs received a personal invitation letter to participate in the screening. Over the second year, the reminder letter was sent to the non-attendees (n = 1042 in urban and n = 929 in rural PHCCs). A random sample of women (n = 93), who did not attend for screening after two letters, was contacted by phone in order to identify the barriers of non-attendance. Results: Before the study, only 9.6% of the target population in urban and 14.7% in rural PHCCs participated in CC screening. After the first invitation letter, the participation in CC screening increased up to 24.6% in urban and 30.8% in rural areas (p < 0.001). After the reminder letter, the attendance was 16.4% in urban and 22.2% in rural PHCCs (p < 0.001). The most common barriers for the non-attendance were lack of time, long waiting time for family doctor’s appointment, worries that a Pap test might be unpleasant and preventive gynaecological examination outside of the screening program. Conclusions: A systematic personal invitation with one reminder letter significantly increased the coverage of CC screening and was more effective in rural regions than in urban regions. The assessed barriers for non-attendance can be used to improve the coverage of screening

Comparative Analysis of Blood Clot, Plasma Rich in Growth Factors and Platelet-Rich Fibrin Resistance to Bacteria-Induced Fibrinolysis

Alveolar osteitis (AO) is a common, painful postoperative complication after tooth extraction. Fibrinolytic activity in the extraction socket is one etiological factor. Platelet concentrates are used to prevent and treat AO. The aim of this study was to find out whether the positive effect of platelet concentrates can be related to resistance to bacteria-induced fibrinolysis. Blood from 45 human volunteers was used to prepare four media: blood clot medium as control group; PRF and PRGF first fraction (PRGF I) and PRGF second fraction (PRGF II) as study groups. Additionally, collected blood was used for blood plasma preparation on which evaluation of initial value of d-dimer concentration was performed. A solution of five different microbes (Staphylococcus aureus, Streptococcus pyogenes, Streptococcus pneumonia, Bacillus cereus, and Candida albicans) was adjusted to 0.5 McFarland (1 × 108 CFU/mL) and then diluted to 0.25 McFarland (0.5 × 108 CFU/mL). The d-dimer concentration was evaluated after one and three hours of bacteria exposure. The resistance to fibrinolysis was not statistically distinguished among any media groups at any time. S. pneumoniae was statistically active in PRF after three hours. C. albicans was statistically active in PRGF II after one hour and in PRF between the first and third hour and after three hours. S. aureus and B. cereus were statistically active in PRGF II after three hours. S. pyogenes was statistically active after one hour, between the first and third hour, and after the third hour in all groups. S. pyogenes was the most active bacterium. Different blood formulations were not distinguishable based on resistance to bacteria-induced fibrinolysis. Low fibrinolytic properties of the found major microbes suggests that bacteria-induced fibrinolysis is one of the leading causes of absence of a clot in a post-extraction socket to be clinically insignificant. The initial absence of a clot or its mechanical elimination during formation or the healing period are major causes of dry socket

Duffy and Kidd Genotyping Facilitates Pretransfusion Testing in Patients Undergoing Long-Term Transfusion Therapy

OBJECTIVE: Conventional serologic typing of red blood cell systems other than ABO and RhD can be inaccurate and difficult to interpret in patients who have recently undergone blood transfusion. While molecular-based assays are not used routinely, the usefulness of genotyping was investigated in order to determine patients who may benefit from this procedure. METHODS: Blood samples were taken from 101 patients with haemato-oncological, chronic renal, or gastroenterological diseases and from 50 donor controls; the samples were tested for Fya and Fyb by applying serologic and genetic methods. All patients had received 3 or more units of RBCs during the last 3 months. An average of 6.1 RBC units were transfused per patient. The average length of time from transfusion until blood sampling was 24.4 days. The haemagglutination test was applied for serological analysis, and the restriction length polymorphism assay was used for genotyping. RESULTS: In total, 33 (32.7%) patients showed positive reactions with anti-Fya or anti-Fyb while being negative genetically. False-positive Fya results were found in 23 samples, and false-positive Fyb in 10 specimens. During the last 3 months, significantly more RBC units were transfused to patients with discrepant results than to those with accurate phenotyping/genotyping results: median of 5 (mean±SE: 6.85±0.69) versus median of 4 (mean: 5.71±0.51), respectively (p=0.025). The median length of time after the last transfusion was 25 days (mean: 28.72±2.23 days) in the group with accurate phenotyping/genotyping results versus a median of 14 days (mean: 15.52±1.95 days) in the group with discrepant results (p=0.001). Phenotypes and genotypes coincided in all donor samples. CONCLUSION: Genotyping assays for the Duffy system should be considered if the patient underwent blood transfusion less than 3 or 4 weeks before the sample collection. If the time frame from RBC transfusion exceeds 6 weeks, Duffy phenotyping can provide accurate results

Hyperventilation throughout cold acclimation.

<p>* <i>P</i><0.05, compared with CA-1. Values are means ± SEM.</p

Body temperature, heart rate (HR), metabolic heat production (MHP), oxygen consumption (VO₂) and cold-strain index (CSI) before and after body cooling in the CA-1, CA-16 and CA-17 sessions.

<p>*<i>P</i><0.05, compared with before cooling;</p>#<p><i>P</i><0.05, compared with the CA-1 session;</p>†<p><i>P</i><0.05 – compared with the CA-16 session.</p><p>Δ  =  mean difference between before and after cold exposure. Values are means ± SEM.</p

Shivering sensation during the first 20(CA-1) and after cold acclimation (CA-16 and CA-17).

<p>* <i>P</i><0.05, compared with a 5 min; # <i>P</i><0.05, compared with the CA-1 session; Values are means ± SEM.</p

Skin temperature throughout cold acclimation.

<p>Skin temperature before (A) and after (B) body cooling, and change from before to after body cooling (C). * <i>P</i><0.05, compared with the CA-1. Δ T_sk  =  mean difference between T_sk before and T_sk after cold exposure. Values are means ± SEM.</p

VO₂ and metabolic heat production (MHP) throughout cold acclimation.

<p>VO₂ (A) and MHP (B). * <i>P</i><0.05, compared with CA-1. Values are means ± SEM.</p

Anthropometrical characteristics of subjects.

<p>Values are means ± SEM.</p