Clinical Profile and Treatment of Multiple Myeloma at a Tertiary Hospital in Kenya: A Five-Year Retrospective Review.

Background: Multiple myeloma (MM) is a chronic B-cell malignancy that involves proliferation of neoplastic clonal plasma cells in the bone marrow with circulating monoclonal immunoglobulins or constituent chains in serum or urine or both. It is a rare cancer with a lifetime risk of 0.76% and an age-adjusted incidence rate of 2.5-7.2 per 100,000 in high-income countries. There is a paucity of local data on the morbidity and treatment of MM. Methods: This was a single-centre descriptive retrospective study at the Kenyatta National Hospital (KNH). The study population included inpatients and outpatients with a documented diagnosis of MM managed between 1st January 2014 and 31st December 2018. Demographic data, pathology reports, laboratory results, and clinical findings were transcribed and uploaded to a database, and data analysis was done using Stata 16® software. Results: A total of 207 patient files were reviewed. The median age at presentation was 60 years with a slight male preponderance. Bone pain was the predominant complaint in 59% (139/207) of patients, with 17% of patients presenting with paraparesis or paraplegia. For patients who underwent imaging, osteolytic bone lesions were identified in 90.6% (126/139). Anaemia was present in 71% (147/207) patients, hypercalcemia in 55.4%, and renal dysfunction in 38.2%. There were 25 different treatment regimens prescribed, with 13 patients (7%) being on bortezomib-based triplet therapy. Conclusions: MM in KNH is a disease of the middle aged, affecting men and women almost equally and presenting mainly with bone pain and anaemia. Although there seems to be a general improvement in diagnosis and care, access to novel and less toxic agents for treatment is still wanting.

Molecular Profiling of Kenyan Acute Myeloid Leukemia Patients.

Acute myeloid leukemia (AML) is an infrequent disease, and it is associated with high morbidity and mortality. It harbors a unique configuration of cytogenetic abnormalities and molecular mutations that can be detected using microscopic and molecular methods respectively. These genetic tests are core elements of diagnosis and prognostication in high-income countries. They are routinely incorporated in clinical decision making, allowing for the individualization of therapy. However, these tests are largely inaccessible to most patients in Kenya and therefore no data has been reported on this group of patients. The main purpose of this study is to describe the cytogenetic and molecular abnormalities of acute myeloid leukemia patients seen at the hemato-oncology unit of Kenyatta National Hospital. A cross-sectional descriptive study was carried out over a 3-month period on ten patients with a diagnosis of AML. Social demographics and clinical data were collected through a study proforma. A peripheral blood sample was collected for conventional metaphase G-banding technique and next generation sequencing. Particularly, targeted DNA sequencing (Illumina myeloid panel) and whole exome sequencing (WES) were performed. Cytogenetic analysis failed in 10/10 cases. Targeted sequencing was successfully obtained in 8 cases, whereas WES in 7. Cytogenetic studies yielded no results. There were 20 mutations detected across 10 commonly mutated genes. All patients had at least one clinically relevant mutation. Based on ELN criteria, NGS identified three patients with high-risk mutations, affecting TP53 (n = 2) and RUNX1 (n = 1). One patient was classified as favorable (PML-RARA) while 4 were standard risk. However, WT1 mutations associated with unfavorable prognosis were recorded in additional 2 cases. WES showed concordant results with targeted sequencing while unveiling more mutations that warrant further attention. In conclusion, we provide the first molecular profiling study of AML patients in Kenya including application of advanced next generation sequencing technologies, highlighting current limitations of AML diagnostics and treatment while confirming the relevance of NGS in AML characterization.

Prevalence and Predictors of Cisplatin-Induced Peripheral Neuropathy at the Kenyatta National Hospital.

PURPOSE: To determine the prevalence, predictors, and/or risk factors of chemotherapy-induced peripheral neuropathy in patients undergoing chemotherapy with cisplatin at Kenyatta National Hospital, Nairobi, Kenya. METHODS: This was a cross-sectional analysis of patients who underwent chemotherapy with cisplatin for at least 2 months at Kenyatta National Hospital oncology units. Peripheral neuropathy was determined by history and physical examination per the protocol. Data are presented in tables. Descriptive inferential statistics such as means, medians, and proportions were determined where applicable. RESULTS: We recruited 67 patients who were undergoing chemotherapy with cisplatin. Fifty-six patients (83.6%) had peripheral neuropathy. Forty-five patients (81%) had mild-grade (grades 1 and 2) peripheral neuropathy. Only two patients (3.1%) had grade 4 neuropathy. Almost all patients who were overweight or obese developed peripheral neuropathy. CONCLUSION: Peripheral neuropathy among patients receiving cisplatin is quite prevalent at Kenyatta National Hospital (83.6% prevalence rate). However, most of the patients had a mild grade of neuropathy, which is largely consistent with literature elsewhere.

Improving Access to Cancer Testing and Treatment in Kenya.

PURPOSE: In response to the increasing cancer burden in Kenya, this study identified barriers to patients seeking access to cancer testing and treatment and to clinicians in delivering these services. Policy recommendations based on findings are presented. METHODS: This qualitative study used semistructured key informant interviews. Purposive sampling was used to recruit 14 participants: seven oncology clinicians and seven support and advocacy leaders for patients with cancer. Qualitative analysis was used to identify themes. RESULTS: Seven barriers to cancer testing and treatment were identified: high cost of testing and treatment, low level of knowledge about cancer among population and clinicians, poor health-seeking behaviors among population, long distances to access diagnostic and treatment services, lack of decentralized diagnostic and treatment facilities, poor communication, and lack of better cancer policy development and implementation. CONCLUSION: Kenyans seeking cancer services face significant barriers that result in late presentation, misdiagnosis, interrupted treatment, stigma, and fear. Four policy recommendations to improve access for patients with cancer are (1) improve health insurance for patients with cancer; (2) establish testing and treatment facilities in all counties; (3) acquire diagnosis and treatment equipment and train health personnel to screen, diagnose, and treat cancer; and (4) increase public health awareness and education about cancer to improve diagnoses and treatment. Effective cancer testing and treatment options can be developed to address cancer in a resource-constrained environment like Kenya. An in-depth look at effective interventions and policies being implemented in countries facing similar challenges would provide valuable lessons to Kenya's health sector and policymakers.