PubMed چکیده/رکورد

Healthcare-Associated Infections in General Surgery: Surveillance, Audit, and Evidence-Based Prevention Across the Perioperative Pathway.

استودیوی صوتی مقاله

پخش حرفه‌ای فارسی و انگلیسی

در حال بررسی نسخه‌های صوتی ذخیره‌شده…

صوت تولیدشده با هوش مصنوعی است. برای کاربرد علمی یا درمانی، متن و منبع اصلی را بررسی کنید.
خواندن هوشمند فارسی و انگلیسی در حال آماده‌سازی صداهای مرورگر…
تنظیم صدای طبیعی و سرعت

صداهایی که در نامشان «Natural»، «Neural» یا «Online» دیده می‌شود معمولاً طبیعی‌ترند. انتخاب صدا به صداهای نصب‌شده در ویندوز و مرورگر شما بستگی دارد.

چکیده اصلی

Healthcare-associated infections (HAIs) remain an important patient-safety problem, and surgical site infection (SSI) is a clinically relevant and measurable perioperative outcome in general surgery. Observed SSI incidence depends on the surveillance definition and the intensity of case finding; approaches restricted to the index admission may miss infections diagnosed after discharge. This structured narrative review critically synthesises current guidance and selected evidence on HAI definitions, surveillance, audit, antimicrobial resistance, and perioperative prevention, with emphasis on general surgical practice. Priority is given to interventions supported consistently by contemporary guidelines and evidence syntheses: appropriate antimicrobial prophylaxis, alcohol-containing skin antisepsis, avoidance of peri-operative hypothermia, aseptic practice, antimicrobial stewardship, and post-discharge case finding. Care bundles can reduce SSI, but their effect depends on the interventions included, adherence, and context; current evidence does not show that larger bundles are inherently more effective. A concise audit dashboard and an adaptable perioperative prevention bundle are proposed. Digital surveillance and artificial intelligence may reduce surveillance workload, but current evidence supports their use as adjuncts requiring local validation and human case confirmation rather than as replacements for established surveillance systems.

متن کامل اصلی

متن در JumpToDate ذخیره نشده است.

برای بررسی دسترسی کتابخانه‌ای یا خرید، رکورد اصلی را باز کنید.

رفتن به منبع اصلی

کلیدواژه‌ها

antimicrobialprophylaxisantimicrobialresistanceauditgeneralsurgeryhealthcare-associatedinfectionperioperativepreventionsurgicalsiteinfectionsurveillance
در همین زیرشاخه

مقاله‌های مرتبط

PubMed2026

[THE TRADITIONAL AND COMPLEMENTARY MEDICINE IN THE PUBLIC HEALTH SYSTEM OF THE RUSSIAN FEDERATION: ANALYSIS OF EVIDENCE BASE AND LEGAL ASPECTS OF INTEGRATION].

The article considers placement of methods of traditional and complementary medicine in the public health system of the Russian Federation, focusing on prevention and management of chronic non-communicable diseases. The analysis of the evidence base on key methods of traditional and complementary medicine (acupuncture, phytotherapy, homeopathy, manual therapy, osteopathy) was carried out, including differentiated estimate of level of e…

PubMed2026

[Chinese expert consensus on the clinical application of lung biopsy in interstitial lung disease].

Interstitial lung disease (ILD) comprises a highly heterogeneous group of pulmonary disorders, whose diagnosis often requires the integration of clinical, radiologic, and pathologic evidence. Lung biopsy is a key method for obtaining a histopathologic diagnosis, but unified standards are lacking for determining indications, selecting biopsy techniques, managing patients perioperatively, and integrating pathologic and clinical informati…

PubMed2026

Targeted US Screening in High-Risk Newborns and Infants: Indications, Techniques, and Disease Findings.

Newborns and infants with certain perinatal exposures, congenital conditions, and genetic syndromes are at increased risk for clinically significant diseases and may benefit from early detection. In these children, imaging serves as a targeted screening tool to identify actionable abnormalities during a window in which intervention may reduce morbidity and long-term sequelae. The authors summarize evidence-based US screening strategies…

PubMed2026

The Promises and Perils of Clinical Decision Support Artificial Intelligence.

Evidence-based clinical decision support artificial intelligence (AI) is rapidly expanding, but its safe and effective use depends on rigorous validation, trustworthy evidence sources and careful integration into clinical workflows. Current available systems show strong potential to improve diagnostic accuracy, reduce clinician workload and possibly benefit patient care, but challenges remain before its real-world adoption. We must be …