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Introduction Hyperglycemia and hypoglycemia have been found to increase morbidity and mortality among hospitalized patients with diabetes. In July of 2018, our academic medical center experienced a 48-hour nursing strike, during which time 600 replacement nurses were employed. This cohort study evaluated the impact of the nursing strike on glycemic control among hospitalized patients with diabetes. Methods Point-of-care fingerstick blood glucose (POC BG) values among hospitalized patients with diabetes were compared between the 48-hour nursing strike period and two 48-hour periods when the nursing strike did not occur. We evaluated the percentage of POC BG values that were hyperglycemic (POC BG 181-250 mg/dL), severely hyperglycemic (POC BG >250 mg/dL), and hypoglycemic (POC BG <70 mg/dL). Additionally, we assessed the proportion of patients who experienced one or more days of hypoglycemia, hyperglycemia, or severe hyperglycemia. Results We found a significant association between the distributions of POC BG test results during the nursing strike; test results more frequently showed hyperglycemia, severe hyperglycemia, or hypoglycemia during the nursing strike than during the control period (p=0.006). There was a significant difference in the days of hypoglycemia, with 7.7% of patients experiencing one or more days of hypoglycemia during the strike period compared with 1.4% of patients during the control period (p=0.03). Conclusion Nursing strikes have been employed as a last resort in contract negotiations with hospitals, but they have the potential to significantly affect patient care and safety. Further studies are needed to evaluate these impacts to prepare for future workforce disruptions.
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http://dx.doi.org/10.7759/cureus.16020 | DOI Listing |
Malignant hyperthermia is a rare, life-threatening hypermetabolic reaction that can strike unexpectedly in the emergency department, demanding swift recognition and intervention to save lives. This syndrome can be fatal if not treated and occurrs in 1 in 100,000 adults and 1 in 30,000 children, with a 3% to 5% mortality rate. Although often associated with perioperative environments, malignant hyperthermia should remain on the radar for emergency nurses, especially when patients exhibit sudden hyperthermia, muscle rigidity, and tachycardia after intubation or procedural sedation.
View Article and Find Full Text PDFInt Nurs Rev
September 2025
Department of Health Studies, The Research Group for Person-Centeredness in an Ageing Society, Fontys University of Applied Sciences, Eindhoven, The Netherlands.
Aim: To explore how nurses were represented in five Dutch newspapers between 2019 and 2022, with a focus on their visibility in policy and decision-making.
Background: The media significantly shape public understanding of healthcare. Despite their key role, nurses are often underrepresented in media, especially in policy-related coverage.
Asian Nurs Res (Korean Soc Nurs Sci)
August 2025
Editor-in-Chief, Asian Nursing Research, Seoul National University, South Korea. Electronic address:
Front Immunol
August 2025
Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Background: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy, but immune-related hypersensitivity reactions remain a clinical concern. Cadonilimab, a novel PD-1/CTLA-4 bispecific antibody, has demonstrated encouraging antitumor efficacy across various solid tumors; however, hypersensitivity or infusion-related reactions may occasionally occur.
Methods: We herein report five cases of cadonilimab-induced allergic or infusion-related reactions in patients with different advanced solid tumors.
Diagnostics (Basel)
July 2025
Laboratory of Human Pathophysiology, Department of Nursing, School of Health Sciences, University of Thessaly, 41500 Larissa, Greece.
Sepsis remains a leading global cause of mortality, with delayed recognition and empirical antibiotic overuse fueling poor outcomes and rising antimicrobial resistance. This systematic scoping review evaluates the current landscape of artificial intelligence (AI) and machine learning (ML) applications in sepsis care, focusing on early detection, personalized antibiotic management, and resistance forecasting. Literature from 2019 to 2025 was systematically reviewed following PRISMA-ScR guidelines.
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