A study was conducted to evaluate repeated intrathecal injections of baclofen, without artificial ventilation, in the treatment of severe tetanus. Ten patients, 5 men and 5 women, with a mean age of 34 +/- 7 years, were included in the study. The dose of baclofen injected was 1000 micrograms between the ages of 16 and 55 years, 800 micrograms over the age of 55 years and 500 micrograms under the age of 16 years. The efficacy was assessed on the basis of the resolution of contractures and paroxysms and the initial dose was reinjected prior to the reappearance of these symptoms. Treatment was discontinued in the case of central nervous system depression or inefficacy. The first injection was effective in 9 cases for 24-48 h. The haemodynamic safety was always good. Five patients developed central depression with coma and respiratory depression, requiring artificial ventilation in 3 cases and reversed by flumazenil in 2 cases. Five patients were treated exclusively with baclofen with 4 cures. Five patients had to be ventilated with only one cure. This study confirms earlier studies concerning the efficacy of intrathecal baclofen in tetanus. However, the frequency of episodes of respiratory depression prevents the recommendation of repeated injections when respiratory intensive care facilities are not available.
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http://dx.doi.org/10.1007/BF01709840 | DOI Listing |
BMJ Case Rep
January 2025
Department of Rehabilitation Physiotherapy, National Center of Neurology and Psychiatry, Tokyo, Japan.
We report a case of amyotrophic lateral sclerosis (ALS) in a patient in their 50s, presenting with spastic paraparesis and bulbar palsy, treated with lung volume recruitment therapy (LVRT). From early stage in the disease, vital capacity (VC), lung insufflation capacity (LIC) and ALS Functional Rating Scale-Revised scores were regularly measured, and LVRT was continuously performed at home. After 10 years, the patient had complete limb function loss and required nutritional management via gastrostomy and full assistance with daily activities.
View Article and Find Full Text PDFJ Coll Physicians Surg Pak
January 2025
Department of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
The Valsalva manoeuvre is widely recognised for its effectiveness in reverting supra-ventricular tachycardia (SVT) in patients with good coordination. However, this is not applicable in sedated ventilated patients and there is a dearth of literature regarding the application of Valsalva in unconscious patients on mechanical ventilation. The authors, for the first time, present a novel non-pharmacological method to treat SVT in critically ill patients on mechanical ventilation, employing the high positive end-expiratory pressure (PEEP) technique.
View Article and Find Full Text PDFJ Coll Physicians Surg Pak
January 2025
Department of Pathology, National Institute of Cardiovascular Diseases, Karachi, Pakistan.
Objective: To determine the frequency of multidrug-resistant (MDR) bacterial isolates in respiratory specimens obtained from ventilated patients admitted to critical care units at the National Institute of Cardiovascular Diseases (NICVD), along with COVID-19-positive cases.
Study Design: An observational study. Place and Duration of the Study: National Institute of Cardiovascular Diseases, between November 2021 and March 2022.
Crit Care
January 2025
Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Background: Despite the physiological advantages of positive end-expiratory pressure (PEEP), its optimal utilization during one-lung ventilation (OLV) remains uncertain. We aimed to investigate whether individualized PEEP titration by lung compliance is associated with a reduced risk of postoperative pulmonary complications during OLV.
Methods: We searched PubMed, Embase, and the Cochrane Central Register of Controlled Trials until April 1, 2024, to identify published randomized controlled trials that compared individualized PEEP titration by lung compliance with fixed PEEP during OLV.
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
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