GPON and V-band mmWave in green backhaul solution for 5G ultra-dense network

Ultra-dense network (UDN) is characterized by massive deployment of small cells which resulted into complex backhauling of the cells. This implies that for 5G UDN to be energy efficient, appropriate backhauling solutions must be provided. In this paper, we have evaluated the performance of giga passive optical network (GPON) and V-band millimetre wave (mmWave) in serving as green backhaul solution for 5G UDN. The approach was to first reproduce existing backhaul solutions in Very Dense Network (VDN) scenario which served as benchmark for the performance evaluation for the UDN scenario. The best two solutions, GPON and V-band solutions from the VDN were then deployed in 5G UDN scenario. The research was done by simulation in MATLAB. The performance metrics used were power consumption and energy efficiency against the normalized hourly traffic profile. The result revealed that GPON and V-band mmWave outperformed other solutions in VDN scenario. However, this performance significantly dropped in the UDN scenariodue to higher data traffic requirement of UDN compared to VDN. Thus, it can be concluded that GPON and V-band mmWave are not best suited to serve as green backhaul solution for 5G UDN necessitating further investigation of other available backhaul technologies

Pattern of triple negative epithelial ovarian cancer in indigenous African women [version 1; referees: 2 approved]

Background: Triple negative epithelial ovarian cancer (TNEOC)  refers to ovarian carcinomas that do not express estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor- type 2 (HER-2/neu).  The aim of this study is to determine the pattern of triple negative epithelial ovarian cancer in indigenous African women. Methods: We performed a retrospective review of ER, PR and HER-2/neu expression in 90 Nigerian patients with histologically diagnosed epithelial ovarian cancer. Lack of expression of ER, PR and HER2/neu antigens was used to determine carcinomas that are among the TNEOC. We also compared the clinicopathological parameters (age, International Federation of Gynaecology and Obstetrics (FIGO) stage, grade and histological subtype) in patients with TNEOC and non- TNEOC . Results: Thirty-eight (42.2%) of the 90 tumours diagnosed as EOC were negative for ER, PR and HER2/neu expression. There was no significant association between TNEOC with other parameters such as age, FIGO stage and histological grade. Sixteen (66.7%) of the 24 mucinous carcinomas were triple negative, while only 21 (33.3%) of the 63 serous carcinomas were triple-negative and one (50%) of the two endometrioid carcinomas was triple negative. There was a significant association between triple-negative tumours and histological subtypes of EOC (p = 0.034). Conclusions: A subtype of epithelial ovarian cancer that is negative for ER, PR and HER-2/neu has been discovered in indigenous African women. TNEOC expression is high and is comparable to the triple negative breast cancer subtype seen in people of African ancestry. Future study of TNEOC in a large sample size should be considered

EXPERT SYSTEM IN RURAL MEDICAL CARE

This paper looks into how an expert system can be used to solve rural problem as it relates to medical care. An expert system is a computer program that simulates the thought process of a human expert to solve complex decision problems in a specific domain. Rural medical care is a health care system found in the rural areas, whose operations are at its poorest state due to lack of sufficient medical practitioners. This research work looks into the areas of rural medical care that could be aided with the use of an expert system that would automate some of the processes and at the same time supplement the few medical officials available in the rural areas in order to improve on the healthcare system. This research considers the manual processes involved in the registration of patients in the rural medical centers, diagnosis and also the schedule of a follow-up appointment. Analysis of the current system was carefully carried out to determine where modification, changes and improvement should be made in the design of the proposed system. Finally, a computer system was designed; which would be used as prototype for further improvement

Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research