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1.
J Med Case Rep ; 17(1): 540, 2023 Dec 31.
Article in English | MEDLINE | ID: mdl-38160233

ABSTRACT

BACKGROUND: The incidence of esophageal atresia with tracheoesophageal fistula is 1 out of 3000-5000 live births. Its incidence in lower middle income countries is not known. The infants usually present with excessive secretions or choking while feeding and are at risk for aspiration. The outcome of these infants in lower middle income countries is not encouraging due to delays in referral, sepsis at presentation requiring preoperative stabilization, postoperative complications such as anastomosis leaks, pneumonia, and pneumothorax. CASE PRESENTATION: We present two African babies who were term infants at age 2 days (male) and 5 days (female) with diagnosis of esophageal atresia and tracheoesophageal fistula. The 5-day-old infant required preoperative stabilization due to sepsis and delayed surgery with a poor postoperative outcome. The 2-day-old infant was preoperatively stable and had a good postoperative outcome. The challenges faced in management of these two cases have been highlighted. CONCLUSION: Outcome of infants with esophageal atresia and tracheoesophageal fistula in lower middle income countries is not encouraging due to delays in referral and poor postoperative healing attributed to sepsis and recurrent pneumothorax. Timely referral, preoperative condition of the infant, and timely management has shown to be a contributory factor for an improved outcome.


Subject(s)
Esophageal Atresia , Pneumothorax , Sepsis , Tracheoesophageal Fistula , Female , Humans , Male , Anastomotic Leak/etiology , Anastomotic Leak/surgery , Esophageal Atresia/complications , Esophageal Atresia/surgery , Pneumothorax/complications , Postoperative Complications/surgery , Retrospective Studies , Sepsis/complications , Tracheoesophageal Fistula/diagnosis , Tracheoesophageal Fistula/surgery , Tracheoesophageal Fistula/complications , Infant, Newborn
2.
BMJ Case Rep ; 16(7)2023 Jul 12.
Article in English | MEDLINE | ID: mdl-37437959

ABSTRACT

We report a severe form of osteogenesis imperfecta (OI) type VIII from a lower-middle income country. This is the first case report of this type in Tanzania. The term neonate was delivered normally via spontaneous vaginal delivery and presented at the neonatal unit with features of shortened limb girdles and macrocephaly. The long bones had multiple fractures. He was diagnosed clinically to have OI or a type of metaphysial dysplasia. A plain X-ray showed multiple fractures of the long bones. The eyes did not have blue sclerae. Clinically, the generic diagnosis of OI was made.Genetic testing revealed typical prolyl 3-hydroxylase 1 (P3HI) gene mutations and a variant coordinate NM_001243246.1:c.1095C>G p, indicating a severe, fatal form of autosomal-recessive OI type VIII which presents with white sclerae. This rare variant is described here for the first time in our setting. This case highlights the need for genetic testing.


Subject(s)
Fractures, Multiple , Osteochondrodysplasias , Osteogenesis Imperfecta , Male , Infant, Newborn , Female , Humans , Osteogenesis Imperfecta/diagnosis , Osteogenesis Imperfecta/genetics , Genetic Testing , Mutation
3.
J Med Case Rep ; 17(1): 240, 2023 Jun 12.
Article in English | MEDLINE | ID: mdl-37303056

ABSTRACT

BACKGROUND: Congenital diaphragmatic hernia beyond the neonatal period is not uncommon. Its diagnosis in infancy and early childhood poses a challenge owing to different clinical presentation ranging from gastrointestinal to respiratory symptoms. These neonates are usually misdiagnosed as having pneumonia until radiological imaging picks up the defect during routine scan for worsening respiratory symptoms. In high-income countries, the survival rate for these patients has been reported to be high, while in Sub-Saharan Africa the survival rate is still low due to delayed diagnosis, delayed referral, and hence delayed management. CASE REPORT: We present an African male baby from non-consanguineous parents, 6 weeks old, diagnosed with congenital diaphragmatic hernia at 6 weeks of age after failure to respond to antibiotics for suspected pneumonia. Despite attempts at management, he died at 5 weeks post surgery. CONCLUSION: Our case emphasizes the importance of early clinical suspicion and early detection for a differential diagnosis of congenital diaphragmatic hernia in infants who present with respiratory symptoms not responding to antibiotics or recurrent pneumonia, and improving the availability of imaging in primary care facilities to diagnose such defects early and manage them accordingly.


Subject(s)
Delayed Diagnosis , Hernias, Diaphragmatic, Congenital , Humans , Infant , Male , Anti-Bacterial Agents/therapeutic use , Black People , Diagnosis, Differential , Hernias, Diaphragmatic, Congenital/diagnostic imaging , Hernias, Diaphragmatic, Congenital/surgery
4.
PLoS One ; 17(9): e0275420, 2022.
Article in English | MEDLINE | ID: mdl-36178915

ABSTRACT

INTRODUCTION: The HIV pandemic continues to contribute significantly towards childhood mortality and morbidity. The up-scaling of the Anti-retroviral therapy (ART) access has seen more children surviving and sanctions great effort be made on ensuring adherence. Adherence is a dynamic process that changes over time and is determined by variable factors. This necessitates the urgency to conduct studies to determine the potential factors affecting adherence in our setting and therefore achieve the 90-90-90 goal of sustainable viral suppression. OBJECTIVES: To assess the magnitude and associated factors of ART adherence among children (1-14 years) attending HIV care and treatment clinics during the months of July to November 2018 in Dar es Salaam. METHODS: A cross-sectional clinic-based study, conducted in three selected HIV care and treatment clinics in urban Dar es Salaam; Muhimbili National Hospital (MNH), Temeke Regional Referral Hospital (TRRH), Infectious Disease Centre- DarDar Paediatric Program (IDC-DPP) HIV clinics during the months of July to November 2018. HIV-infected children aged 1-14 years who had been on treatment for at least six months were consecutively enrolled until the sample size was achieved. A structured questionnaire was used for data collection. Four-day self-report, one-month self-recall report and missed clinic appointments were used to assess adherence. Frequencies and percentages were used to describe categorical data. The odds ratio was used to analyse the possible factors affecting ART adherence Logistic regression models were used to determine the factors associated with ART adherence. Analysis was conducted using SPSS version 20.0 and p-value <0.05 were considered statistically significant. RESULTS: 333 participants were recruited. The overall good adherence (≥95%) was approximated to be 60% (CI-54.3-65.1) when subjected to all three measures. On multivariable logistic regression, factors associated with higher odds of poor adherence were found to be caregivers aged 17-25 years [AOR = 3.5, 95%CI-(1.5-8.4)], children having an inter-current illness [AOR = 10.8, 95%CI-(2.3-50.4)], disbelief in ART effectiveness [AOR = 5.495; 95%CI-(1.669-18.182)] and advanced clinical stage [AOR = 1.972; 95% CI-(1.119-3.484)]. The major reasons reported by caregivers for missing medications included forgetfulness (41%), high pill burden (21%), busy schedule (11%) and long waiting hours at the clinic (9%). CONCLUSION AND RECOMMENDATIONS: In the urban setting of Dar es Salaam, ART adherence among children was found to be relatively low when combined adherence measures were used. Factors associated with poor ART adherence found were younger aged caregivers, and child intercurrent illness, while factors conferring good adherence were belief in ART effectiveness and lower HIV clinical stage. More attention and support should be given to younger aged caregivers, children with concomitant illness and advanced HIV clinical stages. Educating caregivers on ART effectiveness may also aid in improving adherence.


Subject(s)
HIV Infections , Child , Cross-Sectional Studies , HIV Infections/complications , HIV Infections/drug therapy , HIV Infections/epidemiology , Humans , Odds Ratio , Surveys and Questionnaires , Tanzania/epidemiology
5.
J Med Case Rep ; 15(1): 632, 2021 Dec 27.
Article in English | MEDLINE | ID: mdl-34955096

ABSTRACT

BACKGROUND: Juvenile dermatomyositis is an inflammatory disease of muscles, skin, and blood vessels of unknown cause affecting all age and ethnic groups, with a reported incidence of 1.9-4.1 per million. It manifests with weakness in axial and proximal muscles and typical skin lesions. Historically, the Bohan and Peter classification schema has been used to diagnose juvenile dermatomyositis. CASE PRESENTATION: We report an 8-year-old African female child, who presented with features of juvenile dermatomyositis and a rare association with subclinical autoimmune thyroiditis. This case illustrates the typical presentation, diagnosis, and treatment outcomes of this highly misdiagnosed condition. CONCLUSION: Due to the limited resources and knowledge about this under-reported disease in resource-constrained settings, the characteristic manifestations of juvenile dermatomyositis can be easily missed and thus requires a high index of suspicion for earlier diagnosis and management.


Subject(s)
Dermatomyositis , Hashimoto Disease , Thyroiditis, Autoimmune , Child , Dermatomyositis/complications , Dermatomyositis/diagnosis , Dermatomyositis/drug therapy , Female , Humans , Skin , Tanzania , Thyroiditis, Autoimmune/complications , Thyroiditis, Autoimmune/diagnosis
6.
Case Rep Endocrinol ; 2020: 1547170, 2020.
Article in English | MEDLINE | ID: mdl-32082647

ABSTRACT

Introduction. Rickets is softening of bones caused by defective mineralization of the cartilage in the epiphyseal growth plate, causing widening of the ends of long bones, growth retardation, and skeletal deformities in children. It can be classified into calciopenic and phosphopenic, each type with various subclasses. Case Presentations. We presented 2 cases, first of a 1 year and 4-month-old male, with a history of recurrent episodes of cough for 8 months and bowing of the legs 6 months prior to admission. Clinical and laboratory investigation was suggestive of vitamin D-dependent rickets, and he started vitamin D treatment with minimal response. The second case is of a 4 years and 7-month-old male who presented with developmental delay, poor weight gain, and recurrent chest infection and worsening of bone pain since 9 months of age. Laboratory investigation was suggestive of phosphopenic rickets, and he was started on treatment at 9 months of age with little improvement and at 4 years, he sustained multiple fractures and succumbed to severe respiratory tract infection and died at 4 years and 7 months of age. CONCLUSION: Rickets pose a diagnostic and treatment challenge in resource-limited countries, and clinical judgment and early initiation of treatment are important.

7.
Healthc Manage Forum ; 32(4): 173-177, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31106580

ABSTRACT

The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public's health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and fields within AI and illustrate through examples how they can contribute to informed decisions, with a focus on population health applications. We first introduce core concepts needed to understand modern uses of AI and then describe its sub-fields. Finally, we examine four sub-fields of AI most relevant to population health along with examples of available tools and frameworks. Artificial intelligence is a broad and complex field, but the tools that enable the use of AI techniques are becoming more accessible, less expensive, and easier to use than ever before. Applications of AI have the potential to assist clinicians, health system managers, policy-makers, and public health practitioners in making more precise, and potentially more effective, decisions.


Subject(s)
Artificial Intelligence , Population Health , Humans , Machine Learning , Natural Language Processing , Public Health
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