Results 31 to 40 of about 140,832 (267)

Peritonitis index caused by abdominal combat trauma

Український журнал військової медицини
Objective: to create a scale for assessing the peritonitis in combat abdominal trauma to determine surgical tactics Materials and methods. An analysis of surgical care and treatment of 227 wounded who received combat abdominal trauma in the ...
I. V. Sobko, V. Ya. Bilyi, S. A. Aslanian, Ya. L. Zarutsky   +3 more
doaj   +1 more source

An Engineered Solidified Peptide Hemocyte Sponge as Nanomotor Storage to Combat Bacterial Colitis

Advanced Science, EarlyView.
Peptides immobilized via nickel coordination can stabilize the framework structure. Following coating with red blood cell membranes, these constructs are capable of continuously sequestering endotoxins and mitigating colonic pathogenic damage by alleviating bacterial‐induced ferroptosis.
Yuxin Fang, Jianming Yan, Tongxin Yu, Zichuan An, Kaikai Lv, Chenyu Xue, Hongyang Yu, Na Dong, Anshan Shan   +8 more
wiley   +1 more source

Repeat peritonitis in peritoneal dialysis : A cohort study

Bulletin de la Dialyse à Domicile
Introduction: The understanding of the pathophysiological mechanisms of repeat peritonitis, defined as the occurrence of peritonitis more than 4 weeks after the end of appropriate antibiotic treatment for a previous episode involving the same germ ...
Nabil Hmaidouch, Sara El Maakoul, Hajar Fitah, Naima Ouzeddoun, Loubna Benamar   +4 more
doaj   +1 more source

Validation of the Safe Application of Tokyo Guideline 2018 (TG18) Severity Grading and Treatment Algorithm in Super‐Elderly Patients Aged 85 and Over With Acute Cholecystitis: A Study in the Japanese Tertiary Care Hospital

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background With population aging and extended healthy life expectancy, the management of acute cholecystitis (AC) in patients aged ≥ 85 years has evolved. However, the Tokyo Guidelines 2018 (TG18) for AC provide no specific risk assessment criteria for this population.
Yuta Kobayashi, Ryo Oikawa, Yumi Shibuya, Masakazu Tatsuno, Atsuya Kamiyama, Tsuyoshi Ozawa, Keiichiro Hara, Shinogu Hatano, Shojiro Hata, Hirokazu Yamaguchi   +9 more
wiley   +1 more source

Causative organisms and outcomes of peritoneal dialysis-related peritonitis in Sarawak General Hospital, Kuching, Malaysia: a 3-year analysis

Renal Replacement Therapy, 2017
Background Peritoneal dialysis peritonitis remains a significant cause of morbidity for peritoneal dialysis patients and the main reason for conversion from peritoneal dialysis to hemodialysis.
Vui Eng Phui, Clare Hui Hong Tan, Chee Kean Chen, Kee Hoe Lai, Kwek Foong Chew, Hock Hin Chua, Laura Lui Sian Ngu, Lawrence Wei Soon Hii   +7 more
doaj   +1 more source

Repeated streptococcal peritoneal dialysis-related peritonitis following stomatitis and gingival bleeding: a case report

Renal Replacement Therapy, 2022
Background Identification of the pathogenesis of peritoneal dialysis (PD)-related peritonitis is important. However, identification of endogenous peritonitis, especially hematogenous infection, is difficult, and there are few reports of endogenous ...
Kento Fukumitsu, Hideaki Oka, Takaki Iwamoto, Mika Kondo, Yutaro Hirashima, Taro Kamimura, Toshiaki Nakano, Takanari Kitazono   +7 more
doaj   +1 more source

First Successful Regeneration of a Structurally Native‐Like Colon Using a Bioabsorbable Polymer Sheet

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrated that a bioabsorbable polymer sheet (BAPS) can regenerate approximately half the circumference of the colon with native‐like structure and function in an experimental setting. As the model involved immediate closure after perforation and did not reproduce peritonitis, caution is required when considering clinical applicability ...
Junpei Takashima, Mitsuo Miyazawa, Masayasu Aikawa, Daisuke Fujimoto, Hirotoshi Kobayashi   +4 more
wiley   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Meconium peritonitis resulting from different etiologies in siblings: a case report

BMC Pediatrics, 2020
Background Meconium peritonitis is defined as aseptic chemical inflammation caused by intrauterine bowel perforation. The underlying causes of bowel perforation include intestinal atresia, midgut volvulus, intussusception, congenital bands, and meconium ...
Kyung Hee Park, Mi Hye Bae, Na Rae Lee, Young Mi Han, Shin-Yun Byun, Hae-Young Kim   +5 more
doaj   +1 more source

Predictors of peritoneal dialysis associated peritonitis; application of the zero-inflated negative binomial model [PDF]

Journal of Nephropathology, 2019
Background: Peritonitis is the main cause of morbidity and dropout from peritoneal dialysis (PD) program. Objectives: We aimed to determine risk factors predisposing to PD-associated peritonitis.
Shahrokh Ezzatzadegan Jahromi, Faisal Ahmed, Saeedeh Pourahmad, Jamshid Roozbeh, Iraj Najafi, Vahid Ebrahimi   +5 more
doaj   +1 more source