The lymph node ratio predicts cancer-specific survival of node-positive non-small cell lung cancer patients: a population-based SEER analysis

Background Lymph node ratio (LNR) has been suggested to be an effective prognostic tool for stratifying non-small cell lung cancer (NSCLC) cases. In this study, we sought to determine cancer-specific survival (CCS) of NSCLC cases from the SEER registry and used the X-tile method to optimize CCS-based LNR cut-off points for prognostic stratification of node-positive NSCLC. Methods CSS and other clinicopathologic variables were retrieved from the SEER registry. Kaplan-Meier methods were used to calculate CSS. The optimal cut-off points for LNR classification were determined by the X-tile approach. Multivariate Cox regression analysis was performed to identify independent risks of CSS. Results Totally 11,341 lung cancer patients were included. Their median CSS was 22 months (range 0,143). The median LNR was 0.22 (Q1,Q3: 0.11, 0.50). X-tile analysis showed that the optimal LNR cut-off points were 0.28 and 0.81, dividing the cohort into low (LNR1 ≤ 0.28; n = 6580, 58%), middle (0.28 < LNR2 < 0.81; n = 3025, 26.7%), and high (LNR3 > 0.81; n = 1736, 15.3%) subsets. Kaplan-Meier analysis showed that patients with a low LNR had a significantly higher CCS versus patients with middle or high LNR (P < 0.001). Multivariate competing risks regression analysis revealed that LNR was an independent and significant adverse predictor of CSS (LNR2 vs. LNR1: SHR: 1.56, 95%CI: 1.47,1.67, P < 0.001; LNR3 vs. LNR1: SHR: 2.54, 95%CI: 2.30,2.80, P < 0.001). Conclusions LNR is an independent prognostic factor of node-positive NSCLC and its optimal cut-off values established using the robust x-tile method effectively define subpopulations of node-positive NSCLC cases, which is important in guiding selection of treatment strategies clinically.

The Lymph Node Ratio Predicts Cancer-specific Survival of Node-positive Non-small Cell Lung Cancer Patients: a Population-based SEER Analysis

Background: Lymph node ratio (LNR) has been suggested to be an effective prognostic tool for stratifying non-small cell lung cancer (NSCLC) cases. In this study, we sought to determine cancer-specific survival (CCS) of NSCLC cases from the SEER registry and used the X-tile method to optimize CCS-based LNR cut-off points for prognostic stratification of node-positive NSCLC.Methods: CSS and other clinicopathologic variables were retrieved from the SEER registry. Kaplan-Meier methods were used to calculate CSS. The optimal cut-off points for LNR classification were determined by the X-tile approach. Multivariate Cox regression analysis was performed to identify independent risks of CSS. Results: Totally 11,341 lung cancer patients were included. Their median CSS was 22 months (range 0,143). The median LNR was 0.22 (Q1,Q3: 0.11, 0.50). X-tile analysis showed that the optimal LNR cut-off points were 0.28 and 0.81, dividing the cohort into low (LNR1≤0.28; n=6580, 58%), middle (0.28<LNR2<0.81; n=3025, 26.7%), and high (LNR3>0.81; n=1736, 15.3%) subsets. Kaplan-Meier analysis showed that patients with a low LNR had a significantly higher CCS versus patients with middle or high LNR (P<0.001). Multivariate competing risks regression analysis revealed that LNR was an independent and significant adverse predictor of CSS (LNR2 vs. LNR1: SHR: 1.56, 95%CI: 1.47,1.67, P<0.001; LNR3 vs. LNR1: SHR: 2.54, 95%CI: 2.30,2.80, P<0.001).Conclusions: LNR is an independent prognostic factor of node-positive NSCLC and its optimal cut-off values established using the robust x-tile method effectively define subpopulations of node-positive NSCLC cases, which is important in guiding selection of treatment strategies clinically.

Distribution of ABO, Rhesus D and Subgroups of ABO among Blood Donors in Sokoto, North Western Nigeria

ABO, Rhesus D and subgroups of ABO are highly immunogenic and are the common cause of antibody production in mismatched blood transfusions, haemolytic transfusion reaction and maternal alloimmunization. The aim of this study was to determine the occurrence of ABO, Rh D and subgroups of ABO among blood donors attending Specialist Hospital Sokoto, Nigeria. ABO, Rhesus D and subgroups of ABO antigen status of 176 blood donors with mean age of 30.44 ± 8.210 years attending Specialist Hospital Sokoto were determined using tile method for ABO and Rh D and conventional tube method for anti- A1, anti- H reagents for ABO subgroups respectively. Among the 176 subjects tested, blood group O+ was the most frequent group with 93 (52.8%), 39 (22.2%) were blood group B+, 37(21.0%) were blood group A+, 5 (2.8%) were blood group AB+, 2 (1.1%) were blood group O-. No data was obtained for A-, B- and AB- blood groups. Out of 37 A blood groups obtained, 31 (83.8%) had A1 antigens and 6 (16.2%) had A2 antigens. Out of the 5 AB blood groups, all had A1B antigens. The study also shows that there was statistically significant difference between blood group A and ethnic groups (Hausa, Fulani and Yoruba) (p<0.05). Blood group O was found to be the most frequent followed by B, A and AB except among Hausa which revealed a pattern of O> A> B> AB. ABO, subgroups shows majority had A1 followed by A2 and A1B respectively.

A minimal apparatus method for counting bacteria: comparison with reference method in surveying beef carcasses at three commercial abattoirs

SUMMARYIn two surveys of three commercial abattoirs a minimal apparatus method for making bacterial counts, the ‘loop-tile’ method, detected the same trends in bacterial numbers on beef carcasses as the ISO reference method applied to the same samples. Both methods showed the carcasses from one abattoir, that with an export licence, to carry consistently higher numbers of bacteria, and one of the four sites sampled on each carcass to be consistently dirtier than the other three.