Malaria in pregnancy: diagnosing infection and identifying fetal risk

Despite increased malaria control efforts, recent reports indicate that over 1.2 million deaths due to malaria occurred in 2010. Pregnant women represent a particularly vulnerable risk group as malaria infection can lead to life-threatening disease for the mother and fetus. With 125 million women at risk of malaria in pregnancy every year, better diagnostic tools are needed for timely identification and treatment of malaria infection. Diagnostic surveillance tools are also needed to estimate disease burden and inform public health policies. In this review, the authors focus on malaria diagnostics in pregnancy and discuss considerations for different Plasmodium species and geographic regions. The authors also look at promising diagnostic modalities to monitor fetal and maternal health in pregnancy and discuss implementation barriers for low resource settings.     

Malaria treatment with atovaquone-proguanil in malaria-immune adults: implications for malaria intervention trials and for pre-exposure prophylaxis of malaria

Eighty adults in areas of Kenya where malaria is holoendemic received presumptive treatment with atovaquone-proguanil and were followed closely. The time to the first Plasmodium falciparum parasitemia was 32 days. This prolonged prophylaxis period has implications for study design when used in malaria intervention trials and cautiously suggests clinical investigation of potential preexposure prophylaxis of malaria.     

Methodology for identifying patients at high risk for osteoporotic fracture

BACKGROUND: Osteoporotic fractures are associated with significant morbidity, mortality, and health care costs. OBJECTIVE: The purpose of this paper is to present and validate a mathematical model that managed care organizations can apply to administrative claims data to help locate members at risk for osteoporotic fracture and estimate future fracture rates. METHODS: Using known risk factors from previous clinical studies, 92,000 members of a large Midwest health plan were placed in 1 of 4 risk categories based on historical claims markers: demographic/lifestyle (age, sex, smoking, alcoholism); steroid use; medical history (previous osteoporotic fracture, ordinary bone fracture, osteoporosis diagnosis, bone mineral density test); or steroid use with medical history. Logistic regression was used to assign a probability of fracture for the 4 groups over the next 2 years. These predictions were compared with actual fracture rates, and refined models were produced. The models were then validated by applying them to current data and comparing the predicted fracture rate for each group to known results. RESULTS: The model predicted that 1.26% of the study members would experience osteoporotic fracture over the next 2 years; the actual result was 1.27%. Within the 4 risk groups, the predicted fracture rates were lower than the actual rates for the demographic risk group (0.87% predicted vs 0.97% actual) and higher than the actual rates for the steroid use (1.78% predicted vs 1.58% actual), medical history (5.90% predicted vs 4.94% actual), and the steroid use with medical history groups (7.80% predicted vs 6.42% actual). CONCLUSION: The application of this risk model to an administrative claims database successfully identified plan members at risk for osteoporotic fracture.     

Hypertriglyceridemia: the importance of identifying patients at risk

This review aims to explain risk factors, consequences, and management strategies recommended for patients with hypertriglyceridemia. A search of PubMed was performed: ‘Hypertriglyceridemia’[Majr], limited to English‐language and published in the 5 years up to April 2016. Abstracts of the 680 results were screened for inclusion. Reference lists of publications included were also screened for inclusion.

Approximately 25% of the United States population has elevated (≥150 mg/dL) triglycerides (TG) putting them at an increased risk of cardiovascular disease, non-alcoholic fatty liver disease, and pancreatitis. Risk factors for hypertriglyceridemia include genetics, lifestyle and diet, renal disease, endocrine disorders, and certain medications. Guidelines recommend that all patients with hypertriglyceridemia are advised on lifestyle modification to reduce TG to <150 mg/dL; a reduction in body weight of 5–10% can reduce TG by approximately 20%. For patients with TG <400 mg/dL, the primary goal is to reduce low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol, with most guidelines recommending statin therapy. When TG is ≥500 mg/dL the primary goal is to reduce TG levels to lower the risk of pancreatitis. Statin therapy (if LDL-C is elevated) in combination with a fibrate, or long-chain omega-3 fatty acid may be required. The Food and Drug Administration withdrew approval for niacin and some fibrates in combination with statins in April 2016 citing unfavorable benefit-risk profiles. With the increasing incidence of associated conditions (e.g. obesity, metabolic syndrome, and type 2 diabetes mellitus), it is likely that primary care physicians will encounter more patients with hypertriglyceridemia.     

Venous thromboembolism in medically ill patients: identifying risk and strategies for prevention

Venous thromboembolism (VTE) is a condition that has multiple causes but few warning signs. Consequently, the 2 manifestations of VTE-pulmonary embolism and deep vein thrombosis-often go unpredicted. This is especially true for medical patients. Treatment guidelines indicate that most hospitalized patients should receive prophylaxis for VTE. This report discusses these guidelines, the high prevalence of VTE among medical patients, and clinical studies of thromboprophylaxis in medically ill patients. VTE prophylaxis continues to be underutilized in medically ill patients. These patients are at significant risk of VTE and require prophylaxis, an objective that is supported by the recent guidelines of the American College of Chest Physicians. In addition, several lines of clinical evidence support the use of prophylaxis in this subgroup of patients. Improved systems are needed in medically ill patients to help improve outcomes and compliance for the use of VTE prophylaxis.     

Hypertrophic cardiomyopathy. Tools for identifying risk and alleviating symptoms

Hypertrophic cardiomyopathy is characterized by left or right ventricular hypertrophy that is usually asymmetric and involves the interventricular septum. The condition has numerous genetic, anatomic, and clinical variations and continues to stimulate interest and investigation into causes and treatment options. New genetic forms of the disorder are being identified because of the rapid growth of molecular genetics. However, even with technological advances and a large database of information, risk stratification and treatment of hypertrophic cardiomyopathy remain difficult and controversial. Because of the high risk of sudden death, it is imperative that patients be advised against participation in competitive sports.     

成批烧伤患者救护中的风险管理

风险管理是指对患者、工作人员、探视者可能产生伤害的潜在的风险进行识别、评估,采取正确行动的过程。医疗风险管理指医院有组织、有系统地通过对医疗风险的发现、评价并寻求其对策的管理科学。护理风险管理是医疗风险管理的重要组成部分[1]。它包括风险识别、风险评估、风险衡量、选择风险管理技术和风险管理效果评价5个阶段,这5个阶段周而复始,构成了一个风险管理的周期循环过程[2]。在临床护理管理中运用风险管理对成批大面积烧伤患者进行护理风险识别、评价,制订紧急预案、运用预案预防与处理救护工作中的护理风险,提高救护质量与效率…     

Nurses and 'difficult' patients: negotiating non-compliance

BACKGROUND: There is a large body of nursing literature on patient non-compliance. While some articles address non-compliance as a patient problem to be resolved by nursing interventions, there is also a growing number that critique this approach. This reflects the discomfort many nurses feel about the practice of labelling patients as non-compliant. AIM: The aim of this discussion paper is to build on the critical nursing literature to offer an alternative to the interventions commonly directed at patients who do not follow health care advice. This alternative approach locates patients within their social context and focuses on those who adapt health care advice to fit with their beliefs, life situation and circumstances. The aim is to encourage nurses to learn about how health care treatments affect patients'lives, and not merely their health. METHOD: Specific nursing articles were reviewed to demonstrate the ways in which the concept of compliance is used within the nursing literature. These articles were then used to support an argument that promotes a patient-centred approach to health care. CONCLUSION: A patient-centred approach involves transferring power and authority away from health care professionals and towards patients. We encourage nurses to take a leadership role by changing the way in which health care is delivered towards a focus on patients'lives. Learning about patients' lives may assist nurses to offer health information to patients that is more relevant and, therefore, useful.     

Metabolic complications of childhood obesity: identifying and mitigating the risk

The growing number of obese children and adolescents across the world creates a diagnostic challenge to caregivers. The early clinical manifestations of abnormalities related to childhood obesity, attributed to obesity-driven insulin resistance, are impaired glucose metabolism and nonalcoholic fatty liver disease. Both have no symptoms and demand a high index of suspicion and the proper choice of tests for establishing the diagnosis. The clinician should gather information derived from thoroughly taken history and a focused physical examination to stratify patients by their risk. Focused lifestyle modification-aimed interventions are showing promising results in improving the metabolic profile of obese children. Early diagnosis may help allocate resources for intensive interventions that may benefit individuals at greatest risk for early obesity-related morbidity.     

Patient falls in the acute care setting: identifying risk factors

A retrospective comparative chart audit was conducted to identify patient characteristics associated with falls in the acute care setting, to examine the extent to which the significant characteristics explained if falls occurred, and to test the ability of variables believed to be risk factors to predict falls. Patients aged 60 and older who fell during hospitalization (n = 331) were compared with a random sample of patients aged 60 and older who were hospitalized during the same time period but did not fall (n = 300). Two days of documentation were sampled: admission day and day preceding the fall for the fall group, and admission day and a random day of hospital stay for the no-fall group. Findings supported the idea that fall-prone patients can be identified and that significant differences between those who do and do not fall are evident at hospital admission. The findings also suggested an alteration in the constellation of characteristics nurses use to identify fall-prone patients. Of 11 variables representing standard risk factors, only 6 were significantly related to fall status; 5 entered the regression equation as significantly contributing to the 22% explained variance. When potential predictor variables were expanded to include additional patient characteristics, the explained variances for fall status were 31% from the admission day data and 34.5% from the fall/random day data.     

Demographic changes in tuberculosis: high risk groups

We conducted a statistical analysis of all verifiable tuberculosis (TB) cases in Tennessee from 1990 through 1996 to determine the demographic changes in TB. We studied variables, including age, sex, race, site of the disease, and possible impact of known risk factors such as human immunodeficiency virus (HIV) infection, homelessness, foreign birth, and residency in extended care facility. The percentage increase in all such categories, except in the nursing home population, had a statistically significant increase. Unlike national epidemiologic findings, foreign-born TB comprised less than 1% of the total cases. Association of HIV as a co-infection increased from 16 (2.7%) in 1990 to 41 (8.1%) in 1996. These findings will have significant impact on TB control measures and the clinical practice of TB cases in Tennessee and other areas of the southeastern US.     

Skin cancer: causes and groups at risk

This second in a two-part series focuses on the causes and risk factors of skin cancer, highlighting risk factors among the general population as well as in high-risk groups. Part 1, published last week, outlined the main types of skin cancer and the treatment options available for each type; this article stresses the importance of early identification and patient education to prevent skin cancer.     

Performance of risk indices for identifying low bone density in postmenopausal women

OBJECTIVE: To examine the ability of 4 published osteoporosis risk indices to identify women with low bone density. SUBJECTS AND METHODS: Subjects included postmenopausal women 45 years and older consecutively recruited from US clinics, women from general practice centers in The Netherlands (age range, 50-80 years), women in the Rotterdam Study (The Netherlands) 55 years and older, and women aged 55 to 81 years old screened for a clinical trial of alendronate. Bone mineral density (BMD) was measured at the femoral neck or lumbar spine; T scores represent the number of SDs below the mean for young healthy women. One risk index was calculated from age and weight; the other risk indices included up to 4 additional variables obtained by questionnaire. We calculated the sensitivity and specificity for identifying women with BMD T scores of -2.5 or less or -2.0 or less in the US clinic sample and created 3 risk categories, using each of the 4 indices. RESULTS: Data were available for 1102 women from the US clinic sample, 3374 women in the Rotterdam Study, 23,833 women screened for a clinical trial of alendronate, and 4204 women from general practice centers in The Netherlands. Specificity for identifying BMD T scores of -2.5 or less ranged from 37% to 58% (depending on risk index) when sensitivity was approximately 90%. The prevalence of osteoporosis (defined as T scores < or = -2.5) differed widely across the 3 risk categories, ranging from 2% to 4% for the low-risk category to 47% to 61% for the high-risk category in the US clinic sample. For spine BMD in the US clinic sample, the prevalence of T scores of -2.5 or less ranged from 7% (low risk) to 38% (high risk). The large differences in prevalence across risk categories were consistent across the other 3 samples of postmenopausal women in the United States and The Netherlands for all 4 risk indices. CONCLUSIONS: We recommend measuring BMD in women who are classified as having an increased risk of osteoporosis by using any of these risk indices because all 4 indices appear to predict low bone mass equally well. The Osteoporosis Self-assessment Tool index is easiest to calculate and therefore may be most useful in clinical practice.