Articles: pain-measurement.
-
Randomized Controlled Trial
The Effects of Virtual Reality Application on Pain Intensity, Anxiety Level and Patient Satisfaction in Patients Who Undergo Bronchoscopy: A Randomized Controlled Trial.
Bronchoscopy is a medical procedure that allows imaging of the airways and lungs. With the help of a light and camera at its tip, the bronchoscope device can enter the airway and provide real-time visualization. Since most patients are conscious during the bronchoscopy procedure, they may experience pain and anxiety regarding possible complications and an uncertain outcome. ⋯ Study results for this sample revealed that the use of VR decreased pain intensity scores, state anxiety levels, anxiety severity, diastolic blood pressure, systolic blood pressure, heart rate and respiratory rate, and increased O2 saturation in patients who underwent bronchoscopy. In line with these results, VR should be considered during bronchoscopy procedures.
-
The central sensitization inventory (CSI) is a questionnaire that has been widely used as a tool for assessing symptoms associated with sensitization. However, its ability to identify individuals with this phenomenon has recently been questioned. The aim of this study was to assess the correlation of CSI with psychosocial and psychophysical factors in patients with painful TMD diagnosed according to diagnostic criteria for temporomandibular disorders (DC/TMD) and asymptomatic controls, as well as to determine the influence of these variables on the CSI scores variations. ⋯ The research highlights a noteworthy relationship between the central sensitization inventory and psychological factors, emphasizing their substantial influence on inventory values. This correlation offers crucial insights into mental health markers within the questionnaire. Additionally, the lack of connection with pain amplification implies a necessary re-evaluation of the inventory's diagnostic suitability, especially in cases of painful temporomandibular disorders. Thus, caution is urged in its application for identifying CS in these individuals.
-
Scand J Trauma Resus · Jan 2025
Observational StudySignificant room for improvement in the prehospital assessment and treatment of acute abdominal pain: a retrospective observational study.
Acute abdominal pain (AAP) is a common reason for calling emergency medical services (EMS). Despite the widely acknowledged importance of effective prehospital pain management, described by patients as crucial regardless of any other factor, studies on prehospital pain management in AAP patients are limited and suggest room for improvement. This is particularly relevant given the long-standing controversy surrounding the use of analgesia in AAP patients before a final diagnosis is made, which may still influence the prehospital pain management. ⋯ Significant room for improvement in the prehospital management of acute abdominal pain was found. The proportions of pain assessment, treatment and reassessment were low with nine out of ten patients leaving prehospital care with unknown, moderate or severe pain. Among the cases where pain assessment, treatment and reassessment were made and recorded, four out of five patients experienced significant pain relief, indicating the potential of better prehospital pain management.
-
Intensive care medicine · Jan 2025
The association between pain, analgesia, and delirium among critically ill adults: a systematic review and meta-analysis.
We performed a systematic review with meta-analysis examining the relationship between pain or pain medications and delirium occurence, duration, and severity. ⋯ We observed an association between pain and incident delirium among critically ill adults. Exposure to morphine or fentanyl (but no other pain medications) was associated with increased risk of delirium occurrence.
-
Reg Anesth Pain Med · Jan 2025
Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.
Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This study aimed to use a large real-world electronic medical records database to determine the optimal machine learning model for predicting the progression to severe PHN and to identify the associated risk factors. ⋯ Leveraging machine learning analysis, this study identifies an optimal model for predicting severe PHN and highlights key associated risk factors. This model will enable the establishment of more proactive treatments for high-risk patients, potentially mitigating the progression to severe PHN.