Electroencephalogram-based prediction and detection of responsiveness to noxious stimulation in critical care patients: a retrospective single-centre analysis.

BACKGROUND: Monitoring of pain and nociception in critical care patients unable to self-report pain remains a challenge, as clinical signs are neither sensitive nor specific. Available technical approaches are limited by various constraints. We investigated the electroencephalogram (EEG) for correlates that precede or coincide with behavioural nociceptive responses to noxious stimulation. METHODS: In this retrospective study, we analysed frontal EEG recordings of 64 critical care patients who were tracheally intubated and ventilated before, during, and after tracheal suctioning. We investigated EEG power bands for correlates preceding or coinciding with behavioural responses (Behavioural Pain Scale ≥7). We applied the Mann-Whitney U-test to calculate corresponding P-values. RESULTS: Strong behavioural responses were preceded by higher normalised power in the 2.5-5 Hz band (+17.1%; P<0.001) and lower normalised power in the 0.1-1.5 Hz band (-10.5%; P=0.029). After the intervention, strong behavioural responses were associated with higher normalised EEG power in the 2.5-5 Hz band (+16.6%; P=0.021) and lower normalised power in the 8-12 Hz band (-51.2%; P=0.037) CONCLUSIONS: We observed correlates in EEG band power that precede and coincide with behavioural responses to noxious stimulation. Based on previous findings, some of the power bands could be linked to processing of nociception, arousal, or sedation effects. The power bands more closely related to nociception and arousal could be used to improve monitoring of nociception and to optimise analgesic management in critical care patients. CLINICAL TRIAL REGISTRATION: DRKS00011206.

The Effect of Training the Nonverbal Pain Scale (NVPS) on the Ability of Nurses to Monitor the Pain of Patients in the Intensive Care Unit.

Introduction: Pain in the intensive care unit is a silent fact. Considering the positive features of the nonverbal pain scale (NVPS) in assessing the pain of non-verbal patients, this study investigates the effect of training the NVPS on the ability of nurses to monitor the pain of patients in the intensive care unit. Materials and methods: In this semi-experimental study, the effect of the NVPS training on the ability of 50 intensive care unit (ICU) nurses of Imam Khomeini Hospital affiliated to Ahvaz University of Medical Sciences was investigated. At first, the ability to diagnose the presence and intensity of pain was checked by a checklist. Then the nurses were taught how to use the scale correctly. After 2 weeks of training completion, the ability to correctly use the scale was measured again. Data analysis was performed using descriptive statistics (mean and standard deviation) and inferential statistics (McNemar, Chi-squared, paired t-test, and Fisher's exact test) in SPSS software version 16. Results: After the training on the non-verbal pain scale, there was a significant difference between the intervention and control groups in diagnosing the presence of pain related to changing the patient's position (p = 0.023). Also, nurses ability to diagnose pain intensity during airway suction increased fourfold and for physiotherapy procedures twice as much as before training. Conclusion: Nonverbal pain scale training improves ICU nurses ability in diagnosing the presence and severity of pain in nonverbal patients. How to cite this article: Ghayem H, Heidari MR, Aghaei B, Norouzadeh R. The Effect of Training the Nonverbal Pain Scale (NVPS) on the Ability of Nurses to Monitor the Pain of Patients in the Intensive Care Unit. Indian J Crit Care Med 2023;27(3):195-200.

Prehabilitation for Recreational Runners: Motivators, Influencers, and Barriers to Injury Prevention Strategies for Running-Related Injury.

CONTEXT: Injury prevention programs are effective when implemented in team sports, but many recreational runners have less access to such focused interventions or peer support and often seek other sources to learn about injury reduction strategies. OBJECTIVE: This study aimed to explore runners' motivations in attending a prehabilitation (prehab) for runners workshop, establish their comprehension of prehab, and identify barriers to ongoing engagement with injury prevention. DESIGN: Qualitative study using focus groups. PARTICIPANTS AND SETTING: Twenty-two runners participating in prehab for runners workshops took part in one of 4 focus groups, each recorded, transcribed, and analyzed using Grounded Theory to create codes, subthemes, and themes. RESULTS: Four themes emerged: (1) Participation was influenced by experience of previous injury and worry of cessation of running. As the workshop ran weekly for 4 weeks, opportunity to see someone more than once who was also a physiotherapist influenced participation. (2) Runners welcomed clarification for online exercises and advice suggested for runners. They were surprised by the difficulty of single-leg neuromuscular facilitation exercises and reported benefit from most or all information especially non-exercise-based approaches such as load management, pain monitoring, and running cues. (3) Participants were empowered by a structured, holistic, and evidence-based approach that embraced autonomy for exercise self-selection and progression. Confidence to engage in open discussion was due to small group size. (4) Barriers to prehab were personal responsibility, equipment, time, lack of supervision, and peer influence. CONCLUSION: A composite approach to strategies for injury risk reduction during prehab, combining progressive exercises with educational resources, can address runners' individual needs. Early discussion of motivational tools on commencement of prehab with guidance from runners on how to incorporate prehab independently into running training is recommended. Providing these tools allows runners to self-identify the approach best suited to their personal running profile at that given time.

Multimodal Signal Analysis for Pain Recognition in Physiotherapy Using Wavelet Scattering Transform.

Fascial therapy is an effective, yet painful, procedure. Information about pain level is essential for the physiotherapist to adjust the therapy course and avoid potential tissue damage. We have developed a method for automatic pain-related reaction assessment in physiotherapy due to the subjectivity of a self-report. Based on a multimodal data set, we determine the feature vector, including wavelet scattering transforms coefficients. The AdaBoost classification model distinguishes three levels of reaction (no-pain, moderate pain, and severe pain). Because patients vary in pain reactions and pain resistance, our survey assumes a subject-dependent protocol. The results reflect an individual perception of pain in patients. They also show that multiclass evaluation outperforms the binary recognition.

Remote Pain Monitoring Using Fog Computing for e-Healthcare: An Efficient Architecture.

The integration of medical signal processing capabilities and advanced sensors into Internet of Things (IoT) devices plays a key role in providing comfort and convenience to human lives. As the number of patients is increasing gradually, providing healthcare facilities to each patient, particularly to the patients located in remote regions, not only has become challenging but also results in several issues, such as: (i) increase in workload on paramedics, (ii) wastage of time, and (iii) accommodation of patients. Therefore, the design of smart healthcare systems has become an important area of research to overcome these above-mentioned issues. Several healthcare applications have been designed using wireless sensor networks (WSNs), cloud computing, and fog computing. Most of the e-healthcare applications are designed using the cloud computing paradigm. Cloud-based architecture introduces high latency while processing huge amounts of data, thus restricting the large-scale implementation of latency-sensitive e-healthcare applications. Fog computing architecture offers processing and storage resources near to the edge of the network, thus, designing e-healthcare applications using the fog computing paradigm is of interest to meet the low latency requirement of such applications. Patients that are minors or are in intensive care units (ICUs) are unable to self-report their pain conditions. The remote healthcare monitoring applications deploy IoT devices with bio-sensors capable of sensing surface electromyogram (sEMG) and electrocardiogram (ECG) signals to monitor the pain condition of such patients. In this article, fog computing architecture is proposed for deploying a remote pain monitoring system. The key motivation for adopting the fog paradigm in our proposed approach is to reduce latency and network consumption. To validate the effectiveness of the proposed approach in minimizing delay and network utilization, simulations were carried out in iFogSim and the results were compared with the cloud-based systems. The results of the simulations carried out in this research indicate that a reduction in both latency and network consumption can be achieved by adopting the proposed approach for implementing a remote pain monitoring system.

Evaluation of the analgesia nociception index for monitoring intraoperative analgesia in children.

BACKGROUND: Intraoperative analgesia is still administered without guidance. Anaesthetists decide upon dosing on the basis of mean population opioid pharmacological studies and in response to variations in haemodynamic status. However, those techniques have been shown to be imprecise. We assessed the diagnostic value of monitoring the analgesia nociception index (ANI) to detect surgical stimulation in children. METHODS: This was an observational study of 2- to 12-yr-old patients 5 min before and after surgical incision. Hypnosis was maintained with sevoflurane and guided by bispectral index. Intraoperative analgesia was administered as a remifentanil infusion titrated to variations in haemodynamic parameters, and ANI monitor values were recorded. ANI parameters assessed included instantaneous ANI (ANIi), mean ANI (ANIm), and the relative change of ANIi to ANIm (DeltaANI=ANIi-ANIm/ANIm). Statistical analyses were performed using receiver-operating-characteristic analysis with determination of the area under the receiver operating characteristic (AUROC) curve and the grey zone. RESULTS: Overall, 49 subjects were included in this study. The AUROC was 0.755 (0.738-0.772), 0.771 (0.755-0.787), and 0.756 (0.738-0.774) for ANIi, ANIm, and DeltaANI, respectively. The threshold of ANI parameters indicating the presence of noxious surgical stimuli was ≤53%, ≤56%, and ≤-13.3% for ANIi, ANIm, and DeltaANI, respectively. The percentage of subjects in the inconclusive zone was 41%, 51%, and 33% for ANIi, ANIm, and DeltaANI, respectively. CONCLUSIONS: ANI has diagnostic value for detecting surgical stimuli in children.

Analgesia nociception index (ani) monitoring in patients with thoracic paravertebral block: a randomized controlled study.

The goal of the study was to evaluate the effectiveness of analgesia nociception index (ANI) monitoring during intraoperative period for patients with thoracic paravertebral block (TPVB) undergoing breast surgery under general anesthesia. This prospective randomized trial was performed after receiving ethics committee approval in 44 patients who were scheduled to undergo breast surgery under general anesthesia. TPVB was performed in the preoperative period using 20 mL of bupivacaine 0.25% at T4 level. Anesthesia maintenance was provided with sevoflurane in O2: air mixture and remifentanil infusion. Intraoperative concentration of sevoflurane was adjusted according to BIS monitoring keeping the values between 40-60. In a randomized manner patients were divided into two groups. In Group control (n:22) intraoperative remifentanil infusion rate was regulated according to hemodynamic parameters, in Group ANI (n:22) remifentanil infusion rate was titrated to keep ANI monitoring values between 50-70. Total remifentanil consumption was recorded as micrograms. Demographic data, anesthesia and surgery time, intraoperative hemodynamic parameters, post-anesthesia recovery time and requirement of additional analgesic in the recovery drug were recorded. There were no significant difference in demographic data, intraoperative hemodynamic parameters, post-anesthesia recovery time and requirement of additional analgesic drug. There was a statistically significant difference between groups in total remifentanil consumption (Group ANI: 629.6 ± 422.4 mcg, Group control: 965.2 ± 543.6 mcg) (p = 0.027). In patients under general anesthesia ANI monitorisation can help optimisation of opioid consumption and provide data about nociception/antinociception intraoperatively but further experimental and clinical trials in a large scale are needed.

[Mimic activity of differentiated pain intensities : Correlation of characteristics of Facial Action Coding System and electromyography]. / Mimische Aktivität differenzierter Schmerzintensitäten : Korrelation der Merkmale von Facial Action Coding System und Elektromyographie.

BACKGROUND: The monitoring of facial expressions to assess pain intensity provides a way to determine the need for pain medication in patients who are not able to do so verbally. OBJECTIVES: In this study two methods for facial expression analysis - Facial Action Coding System (FACS) and electromyography (EMG) of the zygomaticus muscle and corrugator supercilii - were compared to verify the possibility of using EMG for pain monitoring. MATERIAL AND METHODS: Eighty-seven subjects received painful heat stimuli via a thermode on the right forearm in two identical experimental sequences - with and without EMG recording. RESULTS: With FACS, pain threshold and pain tolerance could be distinguished reliably. Multiple regression analyses indicated that some facial expressions had a predictive value. Correlations between FACS and pain intensity and EMG and pain intensity were high, indicating a closer relationship for EMG and increasing pain intensity. For EMG and FACS, a low correlation was observed, whereas EMG correlates much better with pain intensity. CONCLUSIONS: Results show that the facial expression analysis based on FACS represents a credible method to detect pain. Because of the expenditure of time and personal costs, FACS cannot be used properly until automatic systems work accurately. The use of EMG seems to be helpful in the meantime to enable continuous pain monitoring for patients with acute post-operative pain.

Nociception level index variations in ICU: curarized vs non-curarized patients - a pilot study.

PURPOSE: Pain is a major physiological stressor that can worsen critical medical conditions in many ways. Currently, there is no reliable monitoring tool which is available for pain monitoring in the deeply sedated ± curarized critically ill patients. This study aims to assess the effectiveness of the multiparameter nociception index (NOL®) in the critical care setting. We compared NOL with traditionally used neurovegetative signs and examined its correlation with sedation depth measured by bispectral index (BIS®) electroencephalographic (EEG) monitoring. METHODS: This retrospective monocentric cohort study was conducted in a general intensive care unit, including patients who required moderate-to-deep levels of sedation with or without continuous neuromuscular blockade. The performance of NOL was evaluated both in the entire studied population, as well as in two subgroups: curarized and non-curarized patients. RESULTS: NOL demonstrated greater accuracy than all other indicators in pain detection in the overall population. In the non-curare subgroup, all indices correctly recognized painful stimulation, while in the patients subjected to neuromuscular blocking agent's infusion, only NOL properly identified nociception. In the former group, EEG's relation to nociception was on the border of statistical significance, whereas in the latter BIS showed no correlation with NOL. CONCLUSION: NOL emerges as a promising device for pain assessment in the critical care setting and exhibits its best performance precisely in the clinical context where reliable pain assessment methods are most lacking. Furthermore, our research confirms the distinction between sedation and analgesia, highlighting the necessity for distinct monitoring instruments to accurately assess them.

Analgesia nociception index is an indicator of laparoscopic trocar insertion-induced transient nociceptive stimuli.

Objective: This study aimed to investigate whether analgesia nociception index (ANI) could be an indicator of perioperative pain during laparoscopic trocar insertion. Methods: A total of 280 participants of anesthesia receiving laparoscopic surgery were enrolled. Anesthesia induction and maintenance were performed using the Marsh model for target propofol and the Minto model for remifentanil. Systolic blood pressure (SBP), heart rate (HR), and ANI were recorded at skin incision, the first-, second, the last-trocar insertion, and 5 min after the last trocar insertion. Results: ANI was significantly different among the five groups in the last four time points (all P < 0.05). Pearson's correlation showed that ANI was negatively correlated with SBP (r = -0.114, P = 0.077) and HR (r = -0.247, P < 0.001). The area under the curve of ANI was positively correlated with those of SBP (r = 0.493, P < 0.001) and HR (r = -0.420, P < 0.001). Multivariate logistic regression showed that the ANI was an independent factor associated with intraoperative hemodynamic adverse events only at 5 min after the last trocar insertion. Conclusions: Under general anesthesia, the change in ANI was consistent with changes in the balance between analgesia and nociceptive stimuli. The ANI can reflect the extent of transient pain but had a poor predictive performance for hemodynamic adverse events.

Enhanced labor pain monitoring using machine learning and ECG waveform analysis for uterine contraction-induced pain.

OBJECTIVES: This study aims to develop an innovative approach for monitoring and assessing labor pain through ECG waveform analysis, utilizing machine learning techniques to monitor pain resulting from uterine contractions. METHODS: The study was conducted at National Taiwan University Hospital between January and July 2020. We collected a dataset of 6010 ECG samples from women preparing for natural spontaneous delivery (NSD). The ECG data was used to develop an ECG waveform-based Nociception Monitoring Index (NoM). The dataset was divided into training (80%) and validation (20%) sets. Multiple machine learning models, including LightGBM, XGBoost, SnapLogisticRegression, and SnapDecisionTree, were developed and evaluated. Hyperparameter optimization was performed using grid search and five-fold cross-validation to enhance model performance. RESULTS: The LightGBM model demonstrated superior performance with an AUC of 0.96 and an accuracy of 90%, making it the optimal model for monitoring labor pain based on ECG data. Other models, such as XGBoost and SnapLogisticRegression, also showed strong performance, with AUC values ranging from 0.88 to 0.95. CONCLUSIONS: This study demonstrates that the integration of machine learning algorithms with ECG data significantly enhances the accuracy and reliability of labor pain monitoring. Specifically, the LightGBM model exhibits exceptional precision and robustness in continuous pain monitoring during labor, with potential applicability extending to broader healthcare settings. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04461704.

Health Care Professionals' and Parents' Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study.

BACKGROUND: The use of artificial intelligence (AI) for pain assessment has the potential to address historical challenges in infant pain assessment. There is a dearth of information on the perceived benefits and barriers to the implementation of AI for neonatal pain monitoring in the neonatal intensive care unit (NICU) from the perspective of health care professionals (HCPs) and parents. This qualitative analysis provides novel data obtained from 2 large tertiary care hospitals in Canada and the United Kingdom. OBJECTIVE: The aim of the study is to explore the perspectives of HCPs and parents regarding the use of AI for pain assessment in the NICU. METHODS: In total, 20 HCPs and 20 parents of preterm infants were recruited and consented to participate from February 2020 to October 2022 in interviews asking about AI use for pain assessment in the NICU, potential benefits of the technology, and potential barriers to use. RESULTS: The 40 participants included 20 HCPs (17 women and 3 men) with an average of 19.4 (SD 10.69) years of experience in the NICU and 20 parents (mean age 34.4, SD 5.42 years) of preterm infants who were on average 43 (SD 30.34) days old. Six themes from the perspective of HCPs were identified: regular use of technology in the NICU, concerns with regard to AI integration, the potential to improve patient care, requirements for implementation, AI as a tool for pain assessment, and ethical considerations. Seven parent themes included the potential for improved care, increased parental distress, support for parents regarding AI, the impact on parent engagement, the importance of human care, requirements for integration, and the desire for choice in its use. A consistent theme was the importance of AI as a tool to inform clinical decision-making and not replace it. CONCLUSIONS: HCPs and parents expressed generally positive sentiments about the potential use of AI for pain assessment in the NICU, with HCPs highlighting important ethical considerations. This study identifies critical methodological and ethical perspectives from key stakeholders that should be noted by any team considering the creation and implementation of AI for pain monitoring in the NICU.

Can pain under anesthesia be measured? Pain-related brain function using functional near-infrared spectroscopy during knee surgery.

Significance: Quantitative measurement of perisurgical brain function may provide insights into the processes contributing to acute and chronic postsurgical pain. Aim: We evaluate the hemodynamic changes in the prefrontal cortex (medial frontopolar cortex/mFPC and lateral prefrontal cortex) and the primary somatosensory cortex/S1 using functional near-infrared spectroscopy (fNIRS) in 18 patients (18.2±3.3 years, 11 females) undergoing knee arthroscopy. Approach: We examined the (a) hemodynamic response to surgery and (b) the relationship between surgery-modulated cortical connectivity (using beta-series correlation) and acute postoperative pain levels using Pearson's r correlation with 10,000 permutations. Results: We show a functional dissociation between mFPC and S1 in response to surgery, where mFPC deactivates, and S1 activates following a procedure. Furthermore, the connectivity between (a) left mFPC and right S1 (original r=-0.683, ppermutation=0.001), (b) right mFPC and right S1 (original r=-0.633, ppermutation=0.002), and (c) left mFPC and right S1 (original r=-0.695, ppermutation=0.0002) during surgery were negatively associated with acute postoperative pain levels. Conclusions: Our findings suggest that greater functional dissociation between mFPC and S1 is likely the result of inadequately controlled nociceptive barrage during surgery leading to more significant postoperative pain. It also supports the utility of fNIRS during the perioperative state for pain monitoring and patient risk assessment for chronic pain.

Pain Prevalence and Satisfaction with Pain Management in Inpatients: A Cross-Sectional Study.

BACKGROUND: Pain in hospitalized adults is underestimated and undervalued. The aim of this study was to evaluate pain prevalence and satisfaction with the hospital's pain management among patients attending a tertiary university hospital. Predictor factors of pain were also studied. METHODS: A prospective, cross-sectional study was carried out through a structured questionnaire given on one day to all hospitalized patients in a university hospital. Clinical data, such as personal history and analgesic treatment, were collected from medical records. Other variables related to pain (including intensity rated by the visual analogue scale as well as location and patient satisfaction measured by the numerical rating scale) were also obtained. RESULTS: Of the 274 surveyed patients, pain prevalence was 52.9%, with an average intensity of 5.3 ± 2.8 according to VAS. The overall satisfaction was 87.2%, and 72.6% had already been prescribed at least one analgesic. Patients receiving analgesics showed higher pain intensity (VAS 3.6 ± 3.4) than those without treatment (VAS 1.1 ± 2.1) (p < 0.001). However, patients with treatment showed more satisfaction (NRS 7.8 ± 2 vs. 5.3 ± 1.4, p < 0.001). CONCLUSIONS: The prevalence of pain in hospitalized patients was high, despite the fact that patient satisfaction was also very high.

Identification of the intraoperative antinociceptive effect of intravenous fentanyl using the Nociception Level (NOL) index versus clinical parameters in patients undergoing gynecological laparoscopic surgery: A secondary analysis of the NOLGYN study.

BACKGROUND: While we typically assess nociception balance during general anesthesia through clinical parameters such as heart rate (HR) and mean arterial pressure (MAP) variation, these parameters are not specific to nociception. OBJECTIVE: We hypothesized that using the Nociception Level (NOL) index to assess the analgesic effect of a fentanyl bolus would be superior to standard clinical parameters. DESIGN: Ancillary study of the NOLGYN study, a randomized controlled trial comparing intraoperative NOL-guided administration of fentanyl (NOL group) versus standardized care (SC group). SETTING: University hospital in Montréal, Canada between November 2018, and December 2019. PATIENTS: Women undergoing gynecological laparoscopic surgery. INTERVENTION: In our evaluation of intraoperative nociception, we analyzed the analgesic effect of fentanyl using three parameters: MAP, HR, and the Nociception Level (NOL) index. All fentanyl injection events were extracted from the database. MAIN OUTCOME MEASURE: The primary endpoint was the difference between values before and after each injection. RESULTS: The median of the NOL index before fentanyl injection was 30.5 (IQR 19.4 to 40.7) versus 18.9 (IQR 11.5 to 27.4) after (P < 0.001). The median of MAP was 106.4 mmHg (IQR 99.9 to 113.4) before injection versus 103.2 mmHg (IQR 97.5-110.7) after (P < 0.001). The median of HR before injection was 74.2 (IQR 64.2-83.8) versus 72.4 (IQR 63.4-81.3) after (P < 0.001). CONCLUSIONS: The NOL index, HR, and MAP all statistically discriminated the analgesic effect of fentanyl but only the NOL index proved clinically relevant to identify the analgesic effect of one fentanyl injection. TRIAL REGISTRATION: www. CLINICALTRIALS: gov (NCT03776838) registered in October 2018.

Guidelines for treatment of acute pain in children - the consensus statement of the Section of Paediatric Anaesthesiology and Intensive Therapy of the Polish Society of Anaesthesiology and Intensive Therapy.

RATIONALE AND SCOPE OF THE GUIDELINES Pain is a subjective unpleasant sensory and emotional experience. Acute pain occurs irrespective of age and has a prevalence of about 5% of the general population. Surgical procedures and painful diagnostic procedures are the main causes of this unpleasant and dangerous phenomenon for hospitalized children. It should be remembered that maintaining homeostasis in a child undergoing surgery is also affected by provision of an adequate level of analgesia and sedation as well as nerve conduction block within the surgical site. Even though both paediatric anaesthesiologists and paediatric surgeons know that the therapeutic activities during the perioperative period should be focused on ensuring sufficient analgesia and haemodynamic stability in surgical patients, as many as 70% of children undergoing surgery may experience moderate to severe pain [1-7]. Moreover, pain management is one of the fundamental human rights, i.e. the right to relief of suffering. According to the declaration of the 13th World Congress on Pain in Montreal (September 2010), this right also includes children [8, 9]. In Poland, the law was amended in 2017, and now each patient is guaranteed the right to relief and treatment of pain (Journal of Laws of 2017, item 836). Unfortunately, this right is not always respected in paediatric patients. Many factors contribute to ineffective analgesia in paediatric patients, mainly insufficient knowledge and lack of experience (concerning the use of opioids in particular), as well as lack of management standards, the negative attitude of the personnel or poor organization [10-13]. In hospitals which, as a result of organizational changes, have implemented analgesic treatment regimens and regularly educate their personnel in these issues, both efficiency and effectiveness of pain relief in children are high [14]. For many years, Polish paediatric anaesthesio-logists have been promoting and streamlining the analgesic management of children, which has led to the development of the present publication. The regimens presented in it are based on both the latest medical reports and many years of the authors' experience. The classes of recommendations and levels of evidence have been prepared (Tables 1 and 2, respectively). The presented recommendations were formulated based on a survey of medical reports published in the last two decades.

Pain Assessment for Older Persons in Nursing Home Care: An Evidence-Based Practice Guideline.

Up to 80% of nursing home residents are affected by pain. Pain assessment aims to determine pain intensity, quality, and course of pain to underpin diagnostic decision making. In the nursing home population, pain assessment is frequently compromised by cognitive impairment. Characteristics of the nursing home setting, such as resident's age, staff skill mix, and overall aims of the care provided, also need to be taken into account. Therefore, an interdisciplinary evidence-based clinical practice guideline for pain assessment in the nursing home setting was developed. A systematic literature search was carried out covering publications between 2003 and 2015. Thirty-nine studies were included in the preparation of this guideline, supplemented by 12 international reference guidelines. Recommendations were subjected to a structured consensus-finding process with representatives from 37 scientific and professional organizations and patient representatives. The guideline underwent independent peer review before finalization. It comprises 62 recommendations that are grouped into 4 chapters: (1) context of pain assessment in nursing home care; (2) screening; (3) focused assessment; and (4) reassessment/monitoring of pain. Main recommendations stipulate that clinicians should assess the patient's ability to provide self-report of pain when screening for pain and that each resident should be screened for the presence of pain. A focused assessment of pain, performed during rest and activities, should include pain intensity, changed behaviors, general mobility, pain history, comorbidities, and pain medication. Pain should be re-assessed at regular intervals using the same instruments that were used for the focused assessment. Guideline development demonstrated that many aspects of pain assessment in older persons have not received adequate research attention so far. Available studies predominantly possess only low levels of evidence. Therefore, research into this area needs to be systematically developed to address questions of clinical relevance to support patient care.

Lumbar lordosis as tool to assess the level of pain in patients with low back pain after lumbar disc herniation.

BACKGROUND: It is presently unknown if lumbar lordosis (LL) might be applied to monitor low back pain (LBP) in patients with lumbar disc herniation (LDH). There is presently only conflicting data that does not show a correlation of LL with LBP: Previous studies do either include chronic LBP or do not consider that each patient has an individual value of LL that cannot be compared to other patients. METHODS: Power analysis: At least 32 patients had to be enrolled in the study. Out of 84 consecutive patients with acute onset of pain (<6 weeks) that were treated operatively from 11/2015 to 04/2017 by microscopic laminotomy for LDH, 35 were enrolled in this retrospective within - subject analysis after exclusion of patients with chronic LBP or severe disc degeneration of the lumbar spine. We recorded self - reported assessment of pain (VAS) and LL before the operation, 1 week and 6 weeks after the operation. We performed a paired - samples t - test (within - subject) to compare means of LL at admission to our institution with LL 6 weeks after surgery. Pearson's correlation was determined for LL and VAS. Significance level was set at p < 0.05. RESULTS: VAS at admission to our institution was 7.1 (0.4), VAS 6 weeks after surgery was 1.0 (0.3).LL at admission to our institution was 40.0 (2.1), LL 6 weeks after surgery was 48.0 (1.8). The difference was significant (p < 0.0005) with a high statistical power (1-ß = 0.99).Correlation of LL and VAS was significant (p < 0.01, r = -0.32). CONCLUSIONS: The increase of lumbar lordosis following surgery is significantly correlated to the decrease in the level of perceived pain in patients with a LDH and may be used as an additional tool to monitor the success of treatment in the investigated group of patients.

Cerebral oxygenation for pain monitoring in adults is ineffective: A sequence-randomized, sham controlled study in volunteers.

BACKGROUND: Pain assessment by Numeric Rating Scale (NRS) is considered to be good clinical practice, but objective pain assessment is still a challenge. Near infrared spectroscopy (NIRS) measures cerebral tissue oxygen saturation (SctO2) that increases with cortical-neuronal activity and may provide point-of-care bedside pain monitoring. Analogous to promising studies in newborns, we hypothesize that different levels of SctO2 can probably quantify pain intensity. SctO2 may increase following painful in contrast to non-painful or sham stimuli and may correlate with pain intensity as assessed by NRS in volunteers. METHODS: Twenty healthy male students (24.2±1.9 years), recruited via local advertising, were consecutively included in a sequence-randomized, sham-controlled, single-blinded study. SctO2 was recorded continuously with two NIRS sensors on the forehead. After resting, four stimuli were applied in a random order on the right forearm (unexpected and expected electrical pain, expected non-painful and sham stimuli). Blinded subjects were asked to rate each stimulus on NRS. STATISTICS: RM-ANOVA; Wilcoxon or paired Student t-test; Spearman's rank correlation; P<.05. RESULTS: Resting volunteers showed SctO2 of 72.65%±3.39. SctO2 significantly increased for about 60 to 70s until a maximum after unexpected painful (74.62%±3.9; P=.022) and sham stimuli (74.07%±3.23; P=.014). Expected painful (P=.139) and non-painful stimuli (P=.455) resulted in no changes in SctO2. NRS scores (median, IQR) were rated significantly higher after expected (5.25, 3.5 to 6.75) than after unexpected (4.5, 3 to 5; P=.008) pain. No strong correlation was found between NRS and SctO2. CONCLUSIONS AND IMPLICATIONS: Contrary to our expectations, measuring SctO2 via a two-channel NIRS is not able to remediate the lack of objective bedside pain assessment under standardized experimental conditions in alert adults. TRIAL REGISTRATION: DRKS 00011575 (retrospectively registered).