Diabetes mellitus (DM) along with myocardial infarction (MI) carries increased burden on patients in terms of morbidity, mortality and cost. Current study was aimed to investigate the impact of DM on clinico-laboratory characteristics on in-hospital treatment outcomes among MI patients.o compare the outcome of mesh hernioplasty performed under local anaesthesia in relatively young and older patients regarding wound complications and urinary retention.

All MI patients admitted to the emergency department of Faisalabad Institute of Cardiology from April, 2016 to March, 2017 were recruited into the study. The clinico-laboratory profile and in-hospital outcomes of patients with and without DM were compared using chi-squared test or student t-test, where appropriate.

A total 4063 patients (Mean age 55.86 ± 12.37years) with male preponderance were included into the study. STEMI was most prevalent (n = 2723, 67%) type of MI among study participants. DM was present in substantial number of cases (n = 3688, 90.8ment strategy on very first day of admission.

To compare the effect of OneShape and ProTaper Next file on the change in canal width and angle of curvature in simulated curved canal in resin blocks.

The quasi-experimental study was conducted at the Aga Khan University, Karachi, from January to March 2018, and comprised endodontic resin blocks that had inbuilt curved canals. These were randomly divided into 2 equal groups and were subsequently prepared using OneShape in group A, and ProTaper Next rotary instrument in group B followed by staining with red and blue ink for comparison of pre- and post operative images of canals. Standardised photographs were taken along with reference measuring scale. Independent sample t-test and Paired sample t-test were used to compare the angle of curvature and canal width changes and pre and post instrumentation changes in resin block after using both the instruments, respectively. Intra class correlation was used to determine inter-examiner reliability. The level of significance was kept at p value < 0.01. SPSS 22 was used for data analysis.

Of the 60 blocks, 30(50%) were in each of the two groups. The mean pre-instrumentation angle of curvature was 32.3±2.13 and 31.0±3.28 degrees for groups A and B. The mean degree of canal straightening post-intervention was 1.5±0.5 and 3.6±1.38 degrees in groups A and B (p<0.001). In terms of canal width changes, OneShape file removed more resin material from the canal walls compared to the ProTaper Next system (p<0.001).

ProTaper Next file significantly altered the angle of curvature in the resin block compared to OneShape file, but the amount of material removed from the canal space was significantly higher with the OneShape file compared to ProTaper Next.

ProTaper Next file significantly altered the angle of curvature in the resin block compared to OneShape file, but the amount of material removed from the canal space was significantly higher with the OneShape file compared to ProTaper Next.

To determine the frequency of anaemia among patients with human immune-deficiency virus / acquired immunodeficiency syndrome.

The descriptive cross-sectional single-blind study was conducted at Jinnah Hospital, Lahore, Pakistan, from June 25 to December 25, 2016, and comprised human immune-deficiency virus / acquire immunodeficiency syndrome patients diagnosed at least 3 months earlier. Demographic information was obtained along with sample of patient’s blood for haemoglobin level estimation. Anaemia was defined as haemoglobin <13 g/dL in males and <12 g/dL in females. Data was analysed using SPSS 20.

Of the 230 patients, 100(43.7%) were females and 130(56.5%) were males. The overall mean age was 37.99±14.48 years. The mean haemoglobin level was 11.08±2.44 g/dl; 113(49.1%) 8 12 g/dl, 26(11.3%) <8g/dl, and 91(39.6%) >12g/dl. Overall, 152(66.1%) patients were anaemic and 78(33.9%) were normal. Age and socioeconomic status were significantly associated with anaemia status (p<0.05).

Anaemia was a common finding among human immune deficiency virus / acquired immunodeficiency syndrome patients.

Anaemia was a common finding among human immune deficiency virus / acquired immunodeficiency syndrome patients.

To assess the burden of sleep disorders in the elderly, and the effects of various co-morbidities linked with sleep disorders.

The longitudinal cross-sectional study was conducted in different outpatient departments at a tertiary care centre in Islamabad, Pakistan, from June 2014 to June 2015, and comprised patients of either gender aged 60 years or above. Pittsburgh sleep quality index and Epworth sleepiness scale were used to measure the quality and patterns of sleep and daytime sleepiness in the elderly. Data was analysed using SPSS 21.

Of the 1000 subjects, 638(63.8%) were males, and 362(36.2%) were females. The overall mean age was 66.96±7.05 years. Epworth sleepiness scale >10 was found in 265(26.5%) subjects, while Pittsburgh sleep quality index score in 516(51.6%) was >5. Sleep quality score in 578(57.8%) women was statistically significant compared to 478(47.8%) males (p<0.05).

There was a significant burden of sleep-related disorders in the subjects.

There was a significant burden of sleep-related disorders in the subjects.

The aim of this study is to filter out the most informative genes that mainly regulate the target tissue class, increase classification accuracy, reduce the curse of dimensionality, and discard redundant and irrelevant genes.

This paper presented the idea of gene selection using bagging sub-forest (BSF). The proposed method provided genes importance grounded on the idea specified in the standard random forest algorithm. The new method is compared with three state-of-the art methods, i.e., Wilcoxon, masked painter and proportional overlapped score (POS). NVP2 These methods were applied on 5 data sets, i.e. Colon, Lymph node breast cancer, Leukaemia, Serrated colorectal carcinomas, and Breast Cancer. Comparison was done by selecting top 20 genes by applying the gene selection methods and applying random forest (RF) and support vector machine (SVM) classifiers to assess their predictive performance on the datasets with selected genes. Classification accuracy, Brier score, and sensitivity have been used as performance measures.