Advanced Biomedical Research
Volume:9 Issue: 7, Jul 2019

Diabetes is one of the major causes of morbidity and mortality. Diabetes and hyperglycemia are leading causes for cardiovascular diseases, chronic infections, and other serious problems. The use of smartphone is dramatically increasing, and as such, it is sensible to use an application for management of hospitalized patients with diabetes or hyperglycemia. We designed a software for physicians by use of which they educate to take appropriate decisions in management of patients with diabetes and evaluated the quality of the application using a questionnaire.

Application is designed in a cascade framework to help in management of patients with diabetes and hyperglycemia. The treatment protocols presented in the program were extracted from diabetes management guidelines and valid review articles. Furthermore, we developed a questionnaire to assess the quality of the program. Physicians (n = 36) used this program for 1 week after which they completed the questionnaire.

The physicians described the application to be useful and understandable.

A high percentage of physicians and health providers are aware of the problems when it comes to hospitalized patients with diabetes and our application was designed to resolve the associated difficulties.

The aim of this study was to design an algorithm for the calculation of monitor unit (MU) in a short time and high precision for different radiotherapy (RT) fields.

The algorithm for calculating MU for the stated patients was designed in MATLAB software. To investigate the efficiency of this algorithm, 11 regular chest fields with the sizes of 7 cm × 7 cm up to 17 cm × 17 cm were considered, and the obtained MUs were compared with MUs of 13 patients which were calculated with a “hand calculation” which is used in some RT centers for the aforementioned fields.

The maximum percentage of calculation errors of regular fields at the depths of 4 and 10 cm were 1 and 0.8, respectively. The maximum and minimum percentage of calculation errors in irregular fields was 3 and 0.9, respectively. Furthermore, the maximum and minimum errors were 8.8 and 0.14, respectively. In addition, relative percentages of the MUs for irregular fields of chest and supraclavicular were 1.63 and 1.01, respectively.

Calculation of MUs is suggested to be performed with the novel proposed algorithm, due to reduce the treatment time, and also provide high accuracy and precision compared to hand calculation.

Colorectal cancer (CRC) is rated as the second cause of cancer death worldwide. Selenium (Se) has antioxidant activity and antitumor effect, especially in colon cancer. This important role occurs through selenoproteins. Low Se intake or low plasma Se and selenoproteins concentrations are associated with higher risk of CRC. rs7579 polymorphism in 3’ untranslated region of the SEPP1 gene can effect on selenocysteine incorporation during protein synthesis and also effect on microRNA –messengerRNA interaction and sequentially change in SEPP1 expression. rs34713741 polymorphism as a promoter variant in selenoprotein S (SELS) gene can effect on SElS expression and finally lead to increased CRC risk.

A case–control study using 60 CRC patients and 74 noncancerous counterparts were undertaken in order to determine rs7579 and rs34713741 genotypes using real‑time polymerase chain reaction high‑resolution melting method.

We found an association of borderline statistical significance between allele A for rs7579 in SEPP1 and CRC risk (adjusted odds ratio = 1.63; confidential interval = 0.99–2.07; P = 0.05). The frequency of genotypes rs34713741 of the mentioned polymorphisms was not significantly different between case and control groups (P = 0.23 and P = 0.93, respectively).

The results suggest that these polymorphisms probably has not a substantial role in Iranian CRC risk and is not a serious potential factor in risk assessment of mentioned disease among Iranians.