scholarly journals A Surgical Case of Multiple Gastric Cancers on the Background of Nodular Gastritis in a Twelve-Year-Old Child

2020 ◽  
Vol 53 (9) ◽  
pp. 693-700
Author(s):  
Ryosuke Kobiyama ◽  
Tomoyuki Okumura ◽  
Katsuhisa Hirano ◽  
Toru Watanabe ◽  
Kazuto Shibuya ◽  
...  
2006 ◽  
Vol 57 (3) ◽  
pp. 307-311
Author(s):  
Kenya Kouyama ◽  
Akemi Kouyama ◽  
Hideyuki Satou ◽  
Keiichi Akasaka ◽  
Toshio Ichiwata ◽  
...  

2019 ◽  
Vol 23 (5) ◽  
pp. 568-576
Author(s):  
Michael Ragheb ◽  
Ashish H. Shah ◽  
Sarah Jernigan ◽  
Tulay Koru-Sengul ◽  
John Ragheb

OBJECTIVEHydrocephalus is recognized as a common disabling pediatric disease afflicting infants and children disproportionately in the developing world, where access to neurosurgical care is limited and risk of perinatal infection is high. This surgical case series describes the Project Medishare Hydrocephalus Specialty Surgery (PMHSS) program experience treating hydrocephalus in Haiti between 2008 and 2015.METHODSThe authors conducted a retrospective review of all cases involving children treated for hydrocephalus within the PMHSS program in Port-au-Prince, Haiti, from 2008 through 2015. All relevant epidemiological information of children treated were prospectively collected including relevant demographics, birth history, hydrocephalus etiology, head circumference, and operative notes. All appropriate associations and statistical tests were performed using univariate and multivariate logistic regression analyses.RESULTSAmong the 401 children treated within PMHSS, postinfectious hydrocephalus (PIH) accounted for 39.4% (n = 158) of cases based on clinical, radiographic, and endoscopic findings. The majority of children with hydrocephalus in Haiti were male (54.8%, n = 197), born in the rainy season (59.7%, n = 233), and born in a coastal/inland location (43.3%, n = 61). The most common surgical intervention was endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) (45.7%, n = 175). Multivariate logistic regression analysis yielded coastal birth location (OR 3.76, 95% CI 1.16–12.18) as a statistically significant predictor of PIH. Increasing head circumference (adjusted OR 1.06, 95% CI 0.99–1.13) demonstrated a slight trend toward significance with the incidence of PIH.CONCLUSIONSThis information will provide the foundation for future clinical and public health studies to better understand hydrocephalus in Haiti. The 39.4% prevalence of PIH falls within observed rates in Africa as does the apparently higher prevalence for those born during the rainy season. Although PIH was the most frequent etiology seen in almost all birth locations, the potential relationship with geography noted in this series will be the focus of further research in an effort to understand the link between climate and PIH in Haiti. The ultimate goal will be to develop an appropriate public health strategy to reduce the burden of PIH on the children of Haiti.


1999 ◽  
Vol 23 (3) ◽  
pp. 204-214 ◽  
Author(s):  
Jun Isogaki ◽  
Kazuya Shinmura ◽  
Wang Yin ◽  
Tomio Arai ◽  
Kenji Koda ◽  
...  

Radiology ◽  
2000 ◽  
Vol 214 (2) ◽  
pp. 497-502 ◽  
Author(s):  
Gen Iinuma ◽  
Kyosuke Ushio ◽  
Tsutomu Ishikawa ◽  
Shigeru Nawano ◽  
Ryuzou Sekiguchi ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nicholas Garside ◽  
Hamed Zaribafzadeh ◽  
Ricardo Henao ◽  
Royce Chung ◽  
Daniel Buckland

AbstractMethods used to predict surgical case time often rely upon the current procedural terminology (CPT) code as a nominal variable to train machine-learned models, however this limits the ability of the model to incorporate new procedures and adds complexity as the number of unique procedures increases. The relative value unit (RVU, a consensus-derived billing indicator) can serve as a proxy for procedure workload and could replace the CPT code as a primary feature for models that predict surgical case length. Using 11,696 surgical cases from Duke University Health System electronic health records data, we compared boosted decision tree models that predict individual case length, changing the method by which the model coded procedure type; CPT, RVU, and CPT–RVU combined. Performance of each model was assessed by inference time, MAE, and RMSE compared to the actual case length on a test set. Models were compared to each other and to the manual scheduler method that currently exists. RMSE for the RVU model (60.8 min) was similar to the CPT model (61.9 min), both of which were lower than scheduler (90.2 min). 65.2% of our RVU model’s predictions (compared to 43.2% from the current human scheduler method) fell within 20% of actual case time. Using RVUs reduced model prediction time by ninefold and reduced the number of training features from 485 to 44. Replacing pre-operative CPT codes with RVUs maintains model performance while decreasing overall model complexity in the prediction of surgical case length.


BMJ Leader ◽  
2021 ◽  
pp. leader-2020-000343
Author(s):  
Amit Jain ◽  
Tinglong Dai ◽  
Christopher G Myers ◽  
Punya Jain ◽  
Shruti Aggarwal

Elective surgical suspension during the COVID-19 pandemic resulted in a sizeable surgical case backlog throughout the world. As we ramp back up, how do we decide which cases take priority? Potential future waves (or a future pandemic) may lead to additional surgical shutdown and subsequent reopening. Deciding which cases to prioritise in the face of limited health system capacity has emerged as a new challenge for healthcare leaders. Here we present an ethically grounded and operationally efficient surgical prioritisation framework for healthcare leaders and practitioners, drawing insights from decision analysis and organisational sciences.


2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
C Luney ◽  
C Little

Abstract Introduction Audit of waste management in an elective orthopaedic complex was interrupted due Covid-19 pandemic. We investigated the impact of the enforced changes on theatre waste due to Covid-19. Method Over a 1week period data on waste bag availability and number of bags of each category of waste per surgical case in an elective theatre complex was collated; this was compared to waste generated during Covid-19 pandemic. Results Prior to Covid-19 only clinical waste bins were available in many non-dominant clinical areas providing evidence of inappropriate routine disposal of domestic/recyclable waste. Pre-Covid-19 a mean of 6waste bags were used per surgical case (3.7yellow clinical bags, 1.3black domestic bags, 0.4clear recycling bags), with Covid-19 changes to waste management practice the mean number of waste bags used per case increased to 11 (9 orange contaminated bags, 0.5black, 0.3clear bags). Conclusions Clinical waste management has a significant economic and environmental impact. Covid-19 has led to nearly all waste being deemed to be contaminated and so requiring incineration, with increased volumes of waste generated per case through widespread adoption of PPE. This has increased cost and reduced the ability to recycle non-contaminated waste.


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