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1.
BMC Anesthesiol ; 24(1): 325, 2024 Sep 12.
Artigo em Inglês | MEDLINE | ID: mdl-39266989

RESUMO

BACKGROUND: Opioid-reduced multimodal analgesia has been used clinically for many years to decrease the perioperative complications associated with opioid drugs. We aimed to assess the clinical effects of opioid-reduced anesthesia during thoracoscopic sympathectomy. METHODS: Surgical patients (n = 151) with palmar hyperhidrosis were randomly divided into control (Group C, 73 patients) and test (Group T, 78 patients) groups. All patients were administered general anesthesia using a laryngeal mask. In Group C, patients received propofol, fentanyl, and cisatracurium for anesthesia induction, and maintenance was achieved with propofol and remifentanil, along with mechanical ventilation during the operation. In Group T, anesthesia was induced with propofol, dezocine, and dexmedetomidine (DEX) and maintained with propofol, DEX, and an intercostal nerve block, along with spontaneous breathing throughout the operation. Perioperative complications related to opioid use include hypotension, bradycardia, hypertension, tachycardia, hypoxemia, nausea, vomiting, urine retention, itching, and dizziness were observed. To assess the impact of these complications, we recorded and compared vital signs, blood gas indices, visual analogue scale (VAS) scores, adverse events, and patient satisfaction between the two groups. RESULTS: Perioperative complications related to opioid use were similar between groups. There were no significant differences in the type of perioperative sedation, analgesia index, respiratory and circulatory indicators, blood gas analysis, postoperative VAS scores, adverse reactions, propofol dosage, postoperative recovery time, and patient satisfaction. CONCLUSIONS: In minimally invasive surgeries such as thoracoscopic sympathectomy, opioid-reduced anesthesia was found to be safe and effective; however, this method did not demonstrate clinical advantages. TRIAL REGISTRATION: Chinese Clinical Trial Register: ChiCTR2100055005, on December 30, 2021.


Assuntos
Analgésicos Opioides , Hiperidrose , Simpatectomia , Toracoscopia , Humanos , Feminino , Masculino , Hiperidrose/cirurgia , Adulto , Estudos Prospectivos , Analgésicos Opioides/administração & dosagem , Analgésicos Opioides/uso terapêutico , Toracoscopia/métodos , Simpatectomia/métodos , Adulto Jovem , Propofol/administração & dosagem , Anestesia Geral/métodos , Atracúrio/administração & dosagem , Atracúrio/análogos & derivados , Satisfação do Paciente , Dexmedetomidina/administração & dosagem , Fentanila/administração & dosagem , Anestésicos Intravenosos/administração & dosagem , Remifentanil/administração & dosagem , Bloqueio Nervoso/métodos , Tetra-Hidronaftalenos , Compostos Bicíclicos Heterocíclicos com Pontes
2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20043166

RESUMO

BackgroundManagement of high mortality risk due to significant progression requires prior assessment of time-to-progression. However, few related methods are available for COVID-19 pneumonia. MethodsWe retrospectively enrolled 338 adult patients admitted to one hospital between Jan 11, 2020 to Feb 29, 2020. The final follow-up date was March 8, 2020. We compared characteristics between patients with severe and non-severe outcome, and used multivariate survival analyses to assess the risk of progression to severe conditions. ResultsA total of 76 (31.9%) patients progressed to severe conditions and 3 (0.9%) died. The mean time from hospital admission to severity onset is 3.7 days. Age, body mass index (BMI), fever symptom on admission, co-existing hypertension or diabetes are associated with severe progression. Compared to non-severe group, the severe group already demonstrated, at an early stage, abnormalities in biomarkers indicating organ function, inflammatory responses, blood oxygen and coagulation function. The cohort is characterized with increasing cumulative incidences of severe progression up to 10 days after admission. Competing risks survival model incorporating CT imaging and baseline information showed an improved performance for predicting severity onset (mean time-dependent AUC = 0.880). ConclusionsMultiple predisposition factors can be utilized to assess the risk of progression to severe conditions at an early stage. Multivariate survival models can reasonably analyze the progression risk based on early-stage CT images that would otherwise be misjudged by artificial analysis.

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