ABSTRACT
We describe the first case of anti-CV2 paraneoplastic polyneuropathy associated with lung adenocarcinoma. Our patient presented with progressive unsteadiness and numbness involving bilateral upper and lower limbs. He had symmetrical length-dependent lower motor neuron pattern of weakness and numbness involving both small and large fibres with prominent sensory ataxia. An extended workup for the polyneuropathy involving a serum paraneoplastic antineuronal antibody panel showed a positive reaction for anti-CV2 antibody. CT scan of the thorax, abdomen and pelvis revealed a right upper lung nodule and histopathological examination of the nodule revealed lung adenocarcinoma. He was scheduled for chemotherapy following his discharge and there was improvement of his sensorimotor polyneuropathy following his chemotherapy.
Subject(s)
Adenocarcinoma of Lung , Lung Neoplasms , Paraneoplastic Polyneuropathy , Male , Humans , Paraneoplastic Polyneuropathy/etiology , Hypesthesia , Adenocarcinoma of Lung/complications , Motor Neurons/pathology , Lung Neoplasms/pathology , AutoantibodiesABSTRACT
BACKGROUND: After-hours support from hospice providers is instrumental to patients with serious illness who choose to remain at home, particularly at end of life. Utilisation of out-of-hours support has been much characterised in terms of frequency and nature of calls, but more needs to be known to inform service customisation and resource allocation to optimise care. To this end, we stratify reasons for using the after-hours helpline according to time sensitivity, and to explore disease and person factors associated with urgent calls. METHOD: Electronic medical records for incoming calls from external parties outside workhours within a large home hospice in Singapore were analysed inductively, to identify patterns and associations along study objectives. Individual code books for caller type and call reasons were created and tested in vivo, and later administered to extracted data. Patients that accessed the helpline were tracked for different outcomes, including hospital admissions and on-call home visits. Logistic regression modelling was performed to categorise call reasons by urgency and to identify disease and person factors associated with time sensitive calls. RESULTS: More than 5,000 calls to the helpline were made over a two-year period (2019-2020), predominantly by family caregivers (88.4%). These were in relation to 2,303 unique patients (38.9% of total patients served). After-hours calls were made an average of 2.3 times by patients across various lengths of service. Only 11.9% of calls were deemed time sensitive or urgent, requiring home visits by on-call staff (4%) or resulting in admission to hospital (7.9%). The majority were managed by primary care teams on the next workday (65.1%) and the remainder sorted during the after-hours call itself (22.3%). Call reasons or presenting issues were classified into two groups according to urgency. Calls in the year 2020, from the younger patient, preferred place of death outside the home, and caller types other than patient or healthcare worker were significantly associated with urgent calls. CONCLUSION: Deeper characterisation of after-hours calls offers possibilities: service redesign for optimal resourcing and customised training for better care. Ultimately, planners, providers, and patients all stand to benefit.
Subject(s)
Hospice Care , Hospices , House Calls , Humans , Singapore , TelephoneABSTRACT
Background: Coronavirus disease 2019 is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 is highly transmissible. Early and rapid testing is necessary to effectively prevent and control the outbreak. Detection of SARS-CoV-2 antibodies with lateral flow immunoassay can achieve this goal. Antibody detection is especially effective for the detection of asymptomatic infection.Methods: In this study, SARS-CoV-2 nucleoprotein was expressed by E. coli and purified by affinity chromatography. We used the highly stable and sensitive selenium nanoparticle as the labeling probe coupled with the SARS-CoV-2 nucleoprotein to prepare a new SARS-CoV-2 antibody (IgM and IgG) detection kit. The sensitivity and specificity of the kit were verified by plasma of COVID-19 patients and health persons. Separate detection of IgM and IgG, such as in this assay, was performed in order to reduce mutual interference and improve the accuracy of the test results.Results: The SARS-CoV-2 nucleoprotein was purified on a nickel column, and the final purity was greater than 90%. The sensitivity of the kit was 94.74% and the specificity was 95.12% by 41 negative plasma samples and 19 positive plasma samples detection.Conclusions: The assay kit does not require any special device for reading the results and the readout is a simple color change that can be evaluated with the naked eye. This kit is suitable for rapid and real-time detection of the SARS-CoV-2 antibody.