An expert consensus for the management of chronic hepatitis B in Asian Americans

BACKGROUND

Hepatitis B virus (HBV) infection is common with major clinical consequences. In Asian Americans, the HBsAg carrier rate ranges from 2% to 16% which approximates the rates from their countries of origin. Similarly, HBV is the most important cause of cirrhosis, hepatocellular carcinoma (HCC) and liver related deaths in HBsAg positive Asians worldwide.

AIM

To generate recommendations for the management of Asian Americans infected with HBV.

METHODS

These guidelines are based on relevant data derived from medical reports on HBV from Asian countries as well as from studies in the HBsAg positive Asian Americans. The guidelines herein differ from other recommendations in the treatment of both HBeAg positive and negative chronic hepatitis B (CHB), in the approach to HCC surveillance, and in the management of HBV in pregnant women.

RESULTS

Asian American patients, HBeAg positive or negative, with HBV DNA levels >2000 IU/mL (>10⁴ copies/mL) and ALT values above normal are candidates for anti-viral therapy. HBeAg negative patients with HBV DNA >2000 IU/mL and normal ALT levels but who have either serum albumin <3.5 g/dL or platelet count <130 000 mm³ , basal core promoter (BCP) mutations, or who have first-degree relatives with HCC should be offered treatment. Patients with cirrhosis and detectable HBV DNA must receive life-long anti-viral therapy. Indications for treatment include pregnant women with high viraemia, coinfected patients, and those requiring immunosuppressive therapy. In HBsAg positive patients with risk factors, life-long surveillance for HCC with alpha-fetoprotein (AFP) testing and abdominal ultrasound examination at 6-month intervals is required. In CHB patients receiving HCC treatments, repeat imaging with contrast CT scan or MRI at 3-month intervals is strongly recommended. These guidelines have been assigned to a Class (reflecting benefit vs. risk) and a Level (assessing strength or certainty) of evidence.

CONCLUSIONS

Application of the recommendations made based on a review of the relevant literature and the opinion of a panel of Asian American physicians with expertise in HBV treatment will inform physicians and improve patient outcomes.

Taking culture seriously: Can we improve the developmental health and well-being of Australian Aboriginal children in out-of-home care?

BACKGROUND

Children in out-of-home care have well-documented health and developmental needs. Research suggests that Aboriginal children in care have unmet health and intervention needs. In metropolitan Sydney, Kari Aboriginal Resources Inc. (KARI), an Aboriginal organization, provides support to indigenous children in care, including clinical assessment and intervention. We wanted to determine the health and developmental needs of a subset of children in out-of-home care with KARI, who had been in stable care for at least a year. We wanted to identify child, carer, and intervention characteristics that contributed to children doing well. We also wanted to identify enablers and barriers to providing culturally competent intervention.

METHODS

We used mixed methods. From the KARI clinic database over the past 3 years, we identified children who had been in stable care with KARI for >12 months. We compared clinical measures and outcomes for these children with results from previous audits. We carried out a group discussion and key informant interviews with therapists and caseworkers to identify risk and resilience factors for each child, as well as enablers and barriers to culturally competent intervention.

RESULTS

The health and developmental profile of the 26 children identified as being in stable care was similar to that of previous audits. Most (88%) were getting speech pathology intervention; one third were getting occupational therapy and psychological intervention; most children and their carers attended cultural programmes. The majority of children (25/26) improved in their developmental health. Caseworkers and therapists identified risk and resilience factors related to child, carer, and home characteristics. They also identified elements of good practice; systemic issues prevented some interventions from being carried out.

CONCLUSIONS

There are challenges delivering a trauma-informed, culturally respectful service to Aboriginal children in out-of-home care in an urban setting, but it can be done if attention is paid to culture and the enablers and barriers are identified.

On a solution of the migration process and the application to a problem in epidemiology

In this paper we derive a successive method of solution to a general class of models pertaining to the investigation of the migration process. A specific application of the results to a problem arising in a study of the epidemiology of leprosy has been considered. The application to explorative studies in biological modelling using an interactive computing mode has been discussed.

Effect of time delay on survival in patients with non-small cell lung cancer — A Malaysian study

The prognosis of lung cancer remains poor with overall five year survival figures varying between five and 10% worldwide, However, it has been shown that surgery in patients with early stage disease in non-small cell lung cancer can achieve five year survival rates up to 80%, suggesting that early or delay diagnosis can influence prognosis. Nevertheless, studies addressing this have been inconclusive and mostly derived from Western countries.

Computational neuroimaging strategies for single patient predictions

Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve clinically relevant single-subject predictions. An alternative to machine learning, which tries to establish predictive links between features of the observed data and clinical variables, is the deployment of computational models for inferring on the (patho)physiological and cognitive mechanisms that generate behavioural and neuroimaging responses. This paper discusses the rationale behind a computational approach to neuroimaging-based single-subject inference, focusing on its potential for characterising disease mechanisms in individual subjects and mapping these characterisations to clinical predictions. Following an overview of two main approaches - Bayesian model selection and generative embedding - which can link computational models to individual predictions, we review how these methods accommodate heterogeneity in psychiatric and neurological spectrum disorders, help avoid erroneous interpretations of neuroimaging data, and establish a link between a mechanistic, model-based approach and the statistical perspectives afforded by machine learning.

Recovery Time of Independent Poststroke Life Habits: Part II

The purposes of this study were to determine the time of the recovery of poststroke life habits and to identify prognostic indicators associated with recovery time among stroke patients in a rehabilitation program. A sample of 421 stroke patients who were admitted to a rehabilitation center was recruited from medical records available from January 1987 to December 1992. The relation between the achievement of independent life habits including bed mobility, transfers and ambulation, bathing activities, dressing activities, eating activities, home activities, sphincter control, and sleep with the potential covariates associated with recovery time was assessed through the analysis of survival data using the Cox maximum-likelihood proportional hazard models. The poststroke life habits obtained generated mean recovery times ranging from 5.51 to 57.60 days from admission to rehabilitation. The survival analysis revealed that the recovery time of the selected poststroke abilities was significantly influenced (p <.05) by one or several indicators; these included physical ability and neuropsychological and life habit characteristics. With this precious information, stroke rehabilitation specialists may be able to reduce the length of time required to recover independent poststroke life habits by treating the specific neuropsychological, physical, and life habit characteristics identified in this study. A faster poststroke recovery would reduce the socioeconomic impact generated by stroke disability and would also ensure a better quality of life to the stroke survivor.