COVID-19 Pandemic: A Surgical Perspective from Japan

Japan reported its first COVID-19 case after a returnee from Wuhan, China tested positive for the virus on 16 January, 2020. On April 8, the Japanese government declared emergency in Tokyo and six other prefectures of the country; a nationwide emergency was declared on April 16. The total reported cases were 15,477 and total deaths 755 as of May 7, 2020.Japan Surgical Society (JSS) and Japanese Society of Gastroenterological Surgery (JSGS) have published recommendations for surgery and appropriate measures of safety. Patients are triaged based on the severity of their disease and level of outbreak. The Elective Surgery Acuity Scale (ESAS) by American College of Surgeons is recommended to triage the patients. The guidelines consider the risk of infection during the interventions that generate aerosol such as tracheal intubation, extubation, tracheostomy, mask ventilation, bronchoscopy,chest drainage, gastrointestinal endoscopy etc

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Background Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. Methods We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (USMR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. Findings Global U5MR decreased from 71.2 deaths per 1000 livebirths (95% uncertainty interval WI] 68.3-74-0) in 2000 to 37.1 (33.2-41.7) in 2019 while global NMR correspondingly declined more slowly from 28.0 deaths per 1000 live births (26.8-29-5) in 2000 to 17.9 (16.3-19-8) in 2019. In 2019,136 (67%) of 204 countries had a USMR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030,154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9.65 million (95% UI 9.05-10.30) in 2000 and 5.05 million (4.27-6.02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3.76 million 95% UI 3.53-4.021) in 2000 to 48% (2.42 million; 2.06-2.86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0.80 (95% UI 0.71-0.86) deaths per 1000 livebirths and U5MR to 1.44 (95% UI 1-27-1.58) deaths per 1000 livebirths, and in 2019, there were as many as 1.87 million (95% UI 1-35-2.58; 37% 95% UI 32-43]) of 5.05 million more deaths of children younger than 5 years than the survival potential frontier. Interpretation Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve USMR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Effect of Soiling on the PV Panel kWh Output

Ever since the commercial growth of PV installations, soiling has been a crucial factor to decrease its performance ratio. Environmental factors such as irradiation, wind, rainfall, and back module temperature affect the yield of a system, but, in many environments, soiling of PV modules carries the largest impact. Cost effective soiling measurements within a production area can provide reliable insights into the soiling behavior and allow developing an optimal cleaning schedule.The deposition of dust, soil, and microfibers resulting from the surroundings as well as the growth of minute pollen like moss and fungi are categorized as PV module soiling. It is a lesser acknowledged factor that significantly reduces the power production by acting as a barrier for effective light photons utilized by a module. The estimated loss in the irradiance and power can be determined with the help of a soiling ratio (SR) parameter, which is the ratio of short-circuit current (Isc) or maximum power produced (Pmax) by a soiled module to the clean one.The first step to address this issue was to analyze the different soiling effects on a module. Various outdoor and indoor soiling experiments were carried out in the rooftop PV system to examine the angular dependency, inhomogeneity, optical losses, and color impacts of the dust. Another aspect of this research project was the development of a novel soiling detection system, the DustIQ. The two sensors with the help of on-board mini-PV module measure the soiling ratio of a soiled module. A wide range of dust color test was also carried out for the color calibration of the sensor. This report also introduces an empirical equation based on incident angle modifier (IAM) for soiled and cleaned PV modules. The proposed equation was used to determine SR over the course of the day for three conditions of high, medium, and low daily average irradiance.The modeled SR, when compared with the measured data resulted in RMS deviation of ±0.21% on a high irradiance day. Additionally, analyzed soiling behaviors were used to estimate the annual energy loss due to in Delft, The Netherlands. The average irradiance and power loss was found to be 0.083% and 0.165% per day respectively due to the natural accumulation of soil. This resulted in an annual energy loss of 16.22 kWh for a system of 1.62 kWp, considering rainfall (≥ 2 mm) as the only source of module cleaning.Development of a novel soiling sensor, The DustIQElectrical Engineering | Sustainable Energy Technolog

Accurate Soiling Ratio Determination with Incident Angle Modifier for PV Modules

The deposition of dust, soil, and microfibers resulting from the surroundings, as well as the growth of minute pollens like moss and fungi, contributes toward photovoltaic (PV) module soiling. Soiling is a widely recognized factor that significantly reduces the power production by acting as a barrier for effective light absorption by the module. The estimated loss in the irradiance and power can be determined with the help of a soiling ratio (SR) parameter, which is the ratio of the short-circuit current (Isc) or the maximum power produced (Pmax) by a soiled module to a clean one. The measured SR is normally not constant throughout a day but changes with the position of the Sun and the amount of dust on the module. This paper proposes an empirical equation to determine the SR at any instant of time of the day based on the Sun's angle of incidence on the module and a single SR value measured at the mid of the day. First, an indoor experiment was done to examine the angular loss dependence of two totally different dust colors for the same SR at normal light incidence. Next, in an outdoor experiment, the SR of an artificially soiled module was measured over the course of the day for three conditions of high, medium, and low daily average irradiance due to variation in cloudiness. Then, an empirical equation is introduced based on an incident angle modifier for soiled and cleaned PV modules. The proposed equation was further used to determine the SR. Finally, the average residuals between the measured and the modeled SRs were determined with the help of root-mean-square deviation. The results showed that the modeled SR was determined with a deviation of ±0.21% and ±0.28%, respectively, for high-and medium-irradiance days, whereas the deviation increased to ±1.04% in the case of low irradiance due to clouds.Photovoltaic Materials and DevicesElectrical Sustainable Energ

Radial incision and cutting method using a transanal approach for treatment of anastomotic strictures following rectal cancer surgery: a case report

Abstract Background Development of an anastomotic stricture following rectal cancer surgery is not uncommon. Such strictures are usually managed by manual or instrumental dilatation techniques that are often insufficiently effective, as evidenced by the high recurrence rate. Various surgical procedures using minimally invasive approaches have also been reported. One of these procedures, endoscopic radial incision and cutting (RIC), has been extensively reported. However, RIC by transanal minimally invasive surgery (TAMIS) is yet to be reported. We here report a novel application of TAMIS for performing RIC for anastomotic rectal stenosis. Case presentation A 67-year-old man had suffered from constipation for 6 years after undergoing low anterior resection for stage II rectal cancer 7 years ago. Colonoscopy showed a 1-cm diameter stricture in the lower rectum. Balloon dilatation was performed many times because of repeated recurrences. Thus, surgical management was considered and the stricture was successfully excised via a RIC method using a TAMIS approach. Postoperatively, the patient had minimal leakage that resolved with conservative treatment. Conclusions A RIC method using a TAMIS approach is an effective minimally invasive means of managing anastomotic strictures following rectal cancer surgery

Management of horizontal duodenal perforation: a report of three cases and review of literature

Abstract Background Perforation of the horizontal duodenum is very rare due to the presence in retroperitoneal space. It depicts an unusual clinical picture and is difficult to diagnose, leading to increased morbidity and mortality. The treatment strategies are usually varied and based on small series of cases, literature reviews, and expert opinions. Case presentation Here, we presented three cases of horizontal duodenal perforation in three different clinical processes. The first case, a 30-year-old male patient, presented with abdominal pain and hematemesis after experiencing a physical assault on the previous day. Computed tomography (CT) scan showed rupture of the horizontal duodenum. It was repaired by side-to-side duodenojejunostomy. Postoperatively, he had anastomotic leakage, disseminated intravascular coagulation, and pulmonary failure and recovered after a long hospital stay. The second case, an 81-year-old female, had duodenal perforation with endoscopic coagulation of the bleeding diverticulum. Segmental resection of the duodenum and side-to-side duodenojejunostomy were performed. Postoperatively, there was slight anastomotic leakage, but surgical intervention was not needed. The third case, an 89-year-old female, was a patient with obstructive jaundice due to pancreas head carcinoma, who developed perforation of the horizontal duodenum during endoscopic retrograde cholangiopancreatography (ERCP). After unsuccessful conservative management, duodenojejunostomy at the perforated site and gastric bypass were performed. The postoperative course was uneventful. Conclusion Early suspicion and investigation is necessary for cases of abdominal injuries. CT scan is the investigation of choice. The management options should be based on the clinical condition of the patient, comorbidities, surgical expertise, existing guidelines, and available resources