Real-world data evaluating Guy's rapid diagnostic clinic as an alternate pathway for patients with FIT levels below 10.

OBJECTIVE: To analyse the effectiveness of rapid diagnostic clinics (RDCs) as an alternative pathway for patients with concerning symptoms and a faecal immunochemical test (FIT) result <10. Our primary endpoint was rate of colorectal cancer (CRC) detection. Second endpoints were rates of other cancers and gastrointestinal (GI) serious benign conditions. Finally, we analysed the specific pathway followed by FIT <10 patients with cancer at Guy's and St Thomas NHS Foundation Trust (GSTT) RDC. DESIGN: A retrospective and prospective cohort study. SETTING: GSTT RDC, one of England's largest single-centre RDCs. Sociodemographic and clinical characteristics of FIT <10 patients were analysed descriptively. PARTICIPANTS: Patients with an FIT result <10, seen at GSTT RDC between 1 January 2020 and 5 May 2023. RESULTS: A total of 1299 patients with an FIT<10 were seen at GSTT RDC between January 2020 and May 2023. Of these, 66% (n=861) reported weight loss, 62% (n=805) pain, 37% (n=481) fatigue, 34% (n=444) were anaemic and 23% (n=301) had nausea and vomiting. Among these patients, 7% (n=88) received a cancer diagnosis, 36% (n=462) were identified as having a serious benign condition. Within the patients with cancer, 9% (n=8) were diagnosed with CRC. Among patients with serious benign conditions, 7% (n=31) were referred to colorectal, hepatopancreatobiliary, or upper GI specialists. CONCLUSION: This study demonstrates the effectiveness of RDCs as an alternate pathway for FIT <10 patients with ongoing clinical concerns. These results contribute to enhancing patient care and optimising resource allocation within the healthcare system.

Anxiety and depression in patients with non-site-specific cancer symptoms: data from a rapid diagnostic clinic.

Background: Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathway for patients presenting with non-site specific (NSS) symptoms concerning of malignancy. The current study aimed to: 1) assess the prevalence of anxiety and depression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy's and St Thomas' Foundation Trust (GSTT) RDC in Southeast London. Additionally, we compared standard statistical methods with machine learning algorithms for predicting severe anxiety and depression. Methods: Patients seen at GSTT RDC between June 2019 and January 2023 completed the General Anxiety Disorder Questionnaire (GAD-7) and Patient Health Questionnaire (PHQ-8) questionnaires, at baseline. We used logistic regression (LR) and 2 machine learning (ML) algorithms (random forest (RF), support vector machine (SVM)) to predict risk of severe anxiety and severe depression. The models were constructed using a set of sociodemographic and clinical variables. Results: A total of 1734 patients completed GAD-7 and PHQ-8 questionnaires. Of these, the mean age was 59 years (Standard Deviation: 15.5), and 61.5% (n:1067) were female. Prevalence of severe anxiety (GAD-7 score ≥15) was 13.8% and severe depression (PHQ-8 score≥20) was 9.3%. LR showed that a combination of previous mental health condition (PMH, Adjusted Odds Rario (AOR) 3.28; 95% confidence interval (CI) 2.36-4.56), symptom duration >6 months (AOR 2.20; 95%CI 1.28-3.77), weight loss (AOR 1.88; 95% CI 1.36-2.61), progressive pain (AOR 1.71; 95%CI 1.26-2.32), and fatigue (AOR 1.36; 95%CI 1.01-1.84), was positively associated with severe anxiety. Likewise, a combination PMH condition (AOR 3.95; 95%CI 2.17-5.75), fatigue (AOR 2.11; 95%CI 1.47-3.01), symptom duration >6 months (AOR 1.98; 95%CI 1.06-3.68), weight loss (AOR 1.66; 95%CI 1.13-2.44), and progressive pain (AOR 1.50; 95%CI 1.04-2.16), was positively associated with severe depression. LR and SVM had highest accuracy levels for severe anxiety (LR: 86%, SVM: 85%) and severe depression (SVM: 89%, LR: 86%). Conclusion: High prevalence of severe anxiety and severe depression was found. PMH, fatigue, weight loss, progressive pain, and symptoms >6 months emerged as combined risk factors for both these psychological comorbidities. RDCs offer an opportunity to alleviate distress in patients with concerning symptoms by expediting diagnostic evaluations.

High prevalence of epilepsy in a village in the Littoral Province of Cameroon.

PURPOSE: In the Littoral Province of Cameroon, in the Sanaga River Valley, a door-to-door epidemiological study was carried out in order to evaluate the prevalence of epilepsy in a small village located in a geographically isolated area, hyper-endemic for onchocerciasis. It was followed by an electro-clinical evaluation of patients and a case-control study. METHODS: The study involved a three-phases design: in phase I, a screening questionnaire was administered, in phase II, the presence of epilepsy was confirmed with electro-clinical evaluation, and in phase III, risk factors for epilepsy, socio-economical factors and life habits were evaluated in patients and two matched controls for the age (+/-1 year) residents in the same village. Endemicity level of onchocerciasis was assessed in the village by measuring the prevalence of nodules in adult males aged >or=20 years (PNAM). RESULTS: One hundred eighty-one subjects (100 male and 81 female) were examined (91.9% of the overall population). The crude prevalence rate of active epilepsy was 105 per 1000 pop (CI 95% 60-150) while the age-adjusted prevalence rate was 134.5 cases per 1000 pop (CI 95% 90-178). Seizures were classified as generalized in 10 patients (52.6%) and partial in nine (47.4%). In 17 patients EEG was recorded. Afterward the electro-clinical classification this distribution was inverted: generalized seizures occurred in 35.3% of cases and partial seizures in 64.7% of cases. The PNAM was 62.5%. The surveyed village was classified as hyper-endemic for onchocerciasis. Among risk factors, only positive family history for epilepsy was found (p=0.031). A sample pedigree of a family with 10 epileptic cases (4 included in the epidemiological study) was showed. CONCLUSIONS: To our knowledge, this is the first door-to-door study that produce an adjusted prevalence rate on epilepsy in Cameroon. In according to studies done in Tanzania, Liberia, Uganda, and Ethiopia, our results (i.e., the high prevalence rate in a restricted area, the clinical characteristics of epileptic seizures, the positive family history for epilepsy and the type of pedigree of a family with epileptic patients) may be accounted for by the presence of an strong interaction between environmental and genetic factors in some circumscribed areas.