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1.
Neurocrit Care ; 35(1): 241-248, 2021 08.
Artículo en Inglés | MEDLINE | ID: mdl-33403584

RESUMEN

BACKGROUND: Severe headache is a hallmark clinical feature of spontaneous subarachnoid hemorrhage (SAH), affecting nearly 90% of patients during index hospitalization, regardless of the SAH severity or presence of a culprit aneurysm. Up to 1 in 4 survivors of SAH experience chronic headaches, which may be severe and last for years. Data guiding the optimal management of post-SAH headache are lacking. Opioids, often in escalating doses, remain the guideline-recommended mainstay of acute therapy, but pain relief remains suboptimal. METHODS: This study is a case series of adult patients who received bilateral pterygopalatine fossa (PPF) blockade for the management of refractory headaches after spontaneous SAH (aneurysmal and non-aneurysmal) at a single tertiary care center. We examined pain scores and analgesic requirements before and after block placement. RESULTS: Seven patients (median age 54 years, 3 men, four aneurysmal and three non-aneurysmal) received a PPF-block between post-bleed day 6-11 during index hospitalization in the neurointensive care unit. The worst pain recorded in the 24-h period before the block was significantly higher than in the period 4 h after the block (9.1 vs. 3.1; p = 0.0156), and in the period 8 h after the block (9.1 vs. 2.8; p = 0.0313). The only complication was minor oozing from the needle insertion sites, which subsided completely with gauze pressure within 1 min. CONCLUSIONS: PPF blockade might constitute a promising opioid-sparing therapeutic strategy for the management of post-SAH headache that merits further prospective controlled randomized studies.


Asunto(s)
Hemorragia Subaracnoidea , Adulto , Analgésicos , Cefalea , Humanos , Recién Nacido , Masculino , Narcóticos , Fosa Pterigopalatina , Hemorragia Subaracnoidea/complicaciones , Hemorragia Subaracnoidea/terapia
3.
Cureus ; 14(11): e31779, 2022 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-36569698

RESUMEN

Background It has been shown that the incidence of venous air embolism and venous carbon dioxide (CO2) embolism is high during endoscopic retrograde cholangiopancreatography (ERCP). We examined insufflating gas flow and maximum pressure produced by three types of commonly used endoscopes because we could not readily locate technical data for endoscope gas flow and maximum emitted pressure in the manufacturer's manuals. Methods We tested the Olympus GIF-Q180 used for esophagogastroduodenoscopy, the CF-Q180 used for colonoscopy, and the TJF-Q180 used for ERCP (Olympus America Inc., Center Valley, Pennsylvania). Under three different clinical gas insufflation scenarios, we measured in vitro maximum gas pressure transduced from a closed space created at the endoscope tip in a worst-case scenario analysis. Results We showed that it is readily possible to generate a pressure (>5-30 times normal central venous pressure) in the air space at the tip of all three endoscopes when insufflation is activated and the gas egress is limited. Conclusions These findings shed additional light on in vivo occurrences of gas embolism during gastrointestinal endoscopy. We postulate that in addition to using exclusively CO2 as the insufflating gas, the risk of gas embolism can be further diminished by regulating insufflating gas pressure at the tip of endoscopes.

4.
Am J Case Rep ; 19: 1324-1328, 2018 Nov 06.
Artículo en Inglés | MEDLINE | ID: mdl-30397190

RESUMEN

BACKGROUND Delirium is a well-established clinical phenomenon that remains largely underdiagnosed. In light of its association with diminished postoperative outcomes, recent efforts involve implementing preventive strategies and fostering early detection. This report highlights how multidisciplinary interventions can inform risk for delirium and the challenges that accompany identifying at-risk patients. CASE REPORT A 75-year-old male with a history of postoperative cognitive complications including delirium and mild cognitive impairment. He was attending an outpatient preoperative anesthesia clearance assessment prior to a planned removal for a left frontoethmoidal sinus mucocele. As part of clinical care, an in-house neuropsychologist completed a neurobehavioral exam to assess current cognitive status and guide perioperative cognitive care recommendations. Findings were consistent with mild neurocognitive disorder. CONCLUSIONS Given the patient's history and current status, he was listed as a high delirium risk. The team provided information on delirium and delirium risk factors, encouraged the patient to speak to his surgeon and also a geriatric specialist to assist with decision making. Due to their concern about delirium, the patient and his caregiver opted to postpone the left frontoethmoidal sinus mucocele removal.


Asunto(s)
Trastornos del Conocimiento/diagnóstico , Delirio/diagnóstico , Comunicación Interdisciplinaria , Atención Dirigida al Paciente/métodos , Anciano , Trastornos del Conocimiento/complicaciones , Delirio/etiología , Diagnóstico Precoz , Senos Etmoidales/diagnóstico por imagen , Senos Etmoidales/patología , Senos Etmoidales/cirugía , Humanos , Masculino , Monitoreo Fisiológico , Mucocele/diagnóstico por imagen , Mucocele/patología , Mucocele/cirugía , Pronóstico , Medición de Riesgo , Negativa del Paciente al Tratamiento
5.
Artículo en Inglés | MEDLINE | ID: mdl-30393788

RESUMEN

Electronic Health Records (EHR) are mainly designed to record relevant patient information during their stay in the hospital for administrative purposes. They additionally provide an efficient and inexpensive source of data for medical research, such as patient outcome prediction. In this study, we used preoperative Electronic Health Records to predict postoperative delirium. We compared the performance of seven machine learning models on delirium prediction: linear models, generalized additive models, random forests, support vector machine, neural networks, and extreme gradient boosting. Among the models evaluated in this study, random forests and generalized additive model outperformed the other models in terms of the overall performance metrics for prediction of delirium, particularly with respect to sensitivity. We found that age, alcohol or drug abuse, socioeconomic status, underlying medical issue, severity of medical problem, and attending surgeon can affect the risk of delirium.

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