Significance of descriptive symptoms and signs and clinical parameters as predictors of neuropathic cancer pain

Assessment of neuropathic pain following cancer treatment

Neuropathic cancer pain (NCP) is prevalent affecting up to 58% of those with persistent pain following cancer treatment. Neuropathic pain can develop from malignancy, after neural tissue insult during surgery and/or exposure to radiation or neurotoxic agents used as part of cancer treatment regimens. Pain following cancer treatment is commonly under-treated and one barrier identified is poor recognition of pain and inadequate assessment. Recognition of the presence of NCP is important to inform pain management, which is challenging to treat and warrants the use of specific treatments to target neuropathic mechanisms. In this review, approaches for screening and classifying NCP are described. These include screening questionnaires and the application of the updated neuropathic pain grading system in a cancer context. The evidence from neuropathic pain related assessments in cancer populations is provided and highlighted under different neuropathic pain grades. Recommendations for assessment in practice are provided.

Severity, interference, qualities, and correlates of severe pain: Descriptive cross-sectional study on pain experience of cancer patients in Sri Lanka

OBJECTIVE

Pain is the most debilitating and subjective experience of cancer patients. This study examines the severity, interference, characteristics, and associations of severe pain in Sri Lankan cancer patients.

METHODS

A descriptive study was conducted in Sri Lanka on 384 patients at age 18 or older who had cancer pain for 3 months or more due to the initial lesion, secondaries, radiation, or chemotherapy. Patients with non-cancerous pain or brain metastases were excluded. Data was collected using a validated Sinhala version of the Short-Form Brief Pain Inventory and the Short-Form McGill Pain Questionnaire-2. Logistic regression was used to identify severe pain correlations.

RESULTS

The mean of the "worst pain" experience was 7.97, and 73.2% reported their "worst pain" as severe. The "normal works" (62.5%) and "sleep" (58.3%) were severely influenced by pain. "Aching pain," was the most reported pain quality. A statistically significant association was shown between severe pain and male gender (adjusted odds ratio (AOR) = 1.723), being in marriage (AOR = 1.947), absence of family commitments (AOR = 1.8), and pain of 3 months or more duration (AOR = 1.76).

CONCLUSION

The experiences of cancer pain vary, with the majority suffering from severe pain.

SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering

Patients with cancer or other chronic diseases often experience different symptoms before or after treatments. The symptoms could be physical, gastrointestinal, psychological, or cognitive (memory loss), or other types. Previous research focuses on understanding the individual symptoms or symptom correlations by collecting data through symptom surveys and using traditional statistical methods to analyze the symptoms, such as principal component analysis or factor analysis. This research proposes a computational system, SymptomGraph, to identify the symptom clusters in the narrative text of written clinical notes in electronic health records (EHR). SymptomGraph is developed to use a set of natural language processing (NLP) and artificial intelligence (AI) methods to first extract the clinician-documented symptoms from clinical notes. Then, a semantic symptom expression clustering method is used to discover a set of typical symptoms. A symptom graph is built based on the co-occurrences of the symptoms. Finally, a graph clustering algorithm is developed to discover the symptom clusters. Although SymptomGraph is applied to the narrative clinical notes, it can be adapted to analyze symptom survey data. We applied Symptom-Graph on a colorectal cancer patient with and without diabetes (Type 2) data set to detect the patient symptom clusters one year after the chemotherapy. Our results show that SymptomGraph can identify the typical symptom clusters of colorectal cancer patients' post-chemotherapy. The results also show that colorectal cancer patients with diabetes often show more symptoms of peripheral neuropathy, younger patients have mental dysfunctions of alcohol or tobacco abuse, and patients at later cancer stages show more memory loss symptoms. Our system can be generalized to extract and analyze symptom clusters of other chronic diseases or acute diseases like COVID-19.

Delayed radiation myelopathy: a case and treatment algorithm proposal

Delayed radiation myelopathy is a rare but severe complication that causes progressive and irreversible patient deterioration. Although it is an exclusion diagnosis, there are factors associated with radiation doses and administration areas that may reduce the risk of its incidence. To date, there is no known first-line and effective treatment available to alleviate the symptoms.

Possible Neuropathic Pain in Clinical Practice-Review on Selected Diagnostic Tools and Its Further Challenges

BACKGROUND

Neuropathic pain (NeP) is a wide group of conditions provoked by many different causes and with different patterns. The creation of a grading system was intended to determine the level of certainty that the pain is of neuropathic nature.

METHODS

The aim of this review is to update previously published data on some NeP questionnaires and their measurement properties. The selection of articles is based on the basic neurological units. To assess the usefulness and credibility of the questionnaires, the authors searched for a commonly used measure of reliability, as well as sensitivity and specificity.

RESULTS

Studies regarding the usefulness and credibility of questionnaires used in NeP were realized. Different patient cohorts, etiologies and sample sizes, do not allow for an unambiguous comparison of the presented scales; however, all of these studies found good measures of reliability, specificity and sensitivity.

CONCLUSIONS

NeP tools seem to be beneficial screening instruments that should be utilized by specialists and general practitioners to improve the recognition of "possible" NeP and to determine the epidemiology of this disorder. They have been developed to distinguish perceived pain into neuropathic and non-neuropathic, and, therefore, patients with a mixed pain can still present a diagnostic challenge. Clinical examination and interview play an essential role in the diagnostic process and monitoring, and cannot be neglected.

Diagnosis, management and impact on patients' lives of cancer-related neuropathic pain (CRNP): A European survey

OBJECTIVE

This study assessed the impact of cancer-related neuropathic pain (CRNP) on patients and the importance of the patient-healthcare professional (HCP) relationship in diagnosis and management.

METHODS

A quantitative online survey was conducted involving adult patients from 13 European countries who had been diagnosed with treatable cancer and experienced symptoms of peripheral neuropathy.

RESULTS

Of 24,733 screened respondents, 549 eligible persons met the inclusion criteria and completed the questionnaire. Among individuals still experiencing pain, 75% rated it as 'severe' or 'moderate'. In addition, 61% reported a negative impact on day-to-day activities, and 30% said they had stopped working as a result. A third of respondents had received no diagnosis of CRNP despite reporting painful symptoms to an HCP. HCPs spending enough time discussing pain and understanding the impact on patients' lives were each associated with an increased likelihood of a formal CRNP diagnosis. Compared with individuals currently in active cancer treatment, cancer survivors were less likely to have a diagnosis of CRNP or regular pain conversations with HCPs.

CONCLUSION

CRNP remains under-recognised despite its substantial impact on patients' lives. Clinical practice may be improved by strengthening patient-HCP relationships around pain discussions and increasing the focus on pain management among cancer survivors.