Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities

INTRODUCTION

A proper nutrition is essential for human life. Recently, special attention on this topic has been given in relation to three health statuses: obesity, malnutrition and specific diseases that can be related to food or treated with specific diets. Mobile technology is often used to assist users that wish to regulate their eating habits, and identifying which fields of application have been explored the most by the app developers and which main functionalities have been adopted can be useful in view of future app developments.

METHODS

We selected 322 articles mentioning nutrition support apps through a literature database search, all of which have undergone an initial screening. After the exclusion of papers that were already reviews, not presenting apps or not focused on nutrition, not relevant or not developed for human subjects, 100 papers were selected for subsequent analyses that aimed at identifying the main treated conditions, outcome measures and functionalities implemented in the Apps.

RESULTS

Of the selected studies, 33 focus on specific diseases, 24 on obesity, 2 on malnutrition and 41 on other targets (e.g., weight/diet control). Type 2 diabetes is the most targeted disease, followed by gestational diabetes, hypertension, colorectal cancer and CVDs which all were targeted by more than one app. Most Apps include self-monitoring and coaching functionalities, educational content and artificial intelligence (AI) tools are slightly less common, whereas counseling, gamification and questionnaires are the least implemented. Body weight and calories/nutrients were the most common general outcome measures, while glycated hemoglobin (HbA1c) was the most common clinical outcome. No statistically significant differences in the effectiveness of the different functionalities were found.

CONCLUSION

The use of mobile technology to improve nutrition has been widely explored in the last years, especially for weight control and specific diseases like diabetes; however, other food-related conditions such as Irritable Bowel Diseases appear to be less targeted by newly developed smartphone apps and their related studies. All different kinds of functionalities appear to be equally effective, but further specific studies are needed to confirm the results.

V-care: An application to support lifestyle improvement in children with obesity

BACKGROUND

Obesity is increasing in the pediatric population, and it represents an important risk factor for the life-long development of several diseases. Although health promotion represents the mainstay of obesity prevention and treatment, lifestyle modification programs are often unsuccessful.

OBJECTIVES

The purpose of this article is to introduce the V-care app, a mobile health platform specifically developed to offer effective interaction and support young people in a long-term obesity treatment, combining different strategies to maximize the results of the lifestyle modification program and minimize the possibility of dropouts.

METHODS

The V-care app is based on a conventional client-server architecture, but novelties of our approach are the involvement of families in the lifestyle modification program, and the design inspired to psychological/behavioral change theories, with the aim of raising the chance of patients' compliance to the program. V-care implements a goal-based behavioral intervention, providing specific feedbacks according to the patient's performance. A pilot usability and acceptability study was performed on a sample of thirteen children aged 6-12 years, using a questionnaire with a 5-points Likert scale to evaluate eight system features, identified as essential requirements based on the analysis of strengths and weaknesses of similar systems in literature.

RESULTS

The pilot study highlighted very high rate of overall friendliness and perceived utility evaluation, while some critical issues emerged especially for the chatbot section, which may be due to the novelty of the technology. The positive evaluation of the design choices is confirmed by the average score greater than 3 for all the questions.

CONCLUSIONS

The V-care app represents a digital innovation in the pediatric healthcare, and it could be introduced in children's primary healthcare nationwide, with the aim to offer an intervention program for controlling and preventing childhood obesity.

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review

BACKGROUND

Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disorder characterised by the progressive loss of motor neurons in the brain and spinal cord. The fact that ALS's disease course is highly heterogeneous, and its determinants not fully known, combined with ALS's relatively low prevalence, renders the successful application of artificial intelligence (AI) techniques particularly arduous.

OBJECTIVE

This systematic review aims at identifying areas of agreement and unanswered questions regarding two notable applications of AI in ALS, namely the automatic, data-driven stratification of patients according to their phenotype, and the prediction of ALS progression. Differently from previous works, this review is focused on the methodological landscape of AI in ALS.

METHODS

We conducted a systematic search of the Scopus and PubMed databases, looking for studies on data-driven stratification methods based on unsupervised techniques resulting in (A) automatic group discovery or (B) a transformation of the feature space allowing patient subgroups to be identified; and for studies on internally or externally validated methods for the prediction of ALS progression. We described the selected studies according to the following characteristics, when applicable: variables used, methodology, splitting criteria and number of groups, prediction outcomes, validation schemes, and metrics.

RESULTS

Of the starting 1604 unique reports (2837 combined hits between Scopus and PubMed), 239 were selected for thorough screening, leading to the inclusion of 15 studies on patient stratification, 28 on prediction of ALS progression, and 6 on both stratification and prediction. In terms of variables used, most stratification and prediction studies included demographics and features derived from the ALSFRS or ALSFRS-R scores, which were also the main prediction targets. The most represented stratification methods were K-means, and hierarchical and expectation-maximisation clustering; while random forests, logistic regression, the Cox proportional hazard model, and various flavours of deep learning were the most widely used prediction methods. Predictive model validation was, albeit unexpectedly, quite rarely performed in absolute terms (leading to the exclusion of 78 eligible studies), with the overwhelming majority of included studies resorting to internal validation only.

CONCLUSION

This systematic review highlighted a general agreement in terms of input variable selection for both stratification and prediction of ALS progression, and in terms of prediction targets. A striking lack of validated models emerged, as well as a general difficulty in reproducing many published studies, mainly due to the absence of the corresponding parameter lists. While deep learning seems promising for prediction applications, its superiority with respect to traditional methods has not been established; there is, instead, ample room for its application in the subfield of patient stratification. Finally, an open question remains on the role of new environmental and behavioural variables collected via novel, real-time sensors.

Exploring the inter-subject variability in the relationship between glucose monitoring metrics and glycated hemoglobin for pediatric patients with type 1 diabetes

OBJECTIVES

Despite the widespread diffusion of continuous glucose monitoring (CGM) systems, which includes both real-time CGM (rtCGM) and intermittently scanned CGM (isCGM), an effective application of CGM technology in clinical practice is still limited. The study aimed to investigate the relationship between isCGM-derived glycemic metrics and glycated hemoglobin (HbA1c), identifying overall CGM targets and exploring the inter-subject variability.

METHODS

A group of 27 children and adolescents with type 1 diabetes under multiple daily injection insulin-therapy was enrolled. All participants used the isCGM Abbott's FreeStyle Libre system on average for eight months, and clinical data were collected from the Advanced Intelligent Distant-Glucose Monitoring platform. Starting from each HbA1c exam date, windows of past 30, 60, and 90 days were considered to compute several CGM metrics. The relationships between HbA1c and each metric were explored through linear mixed models, adopting an HbA1c target of 7%.

RESULTS

Time in Range and Time in Target Range show a negative relationship with HbA1c (R²>0.88) whereas Time Above Range and Time Severely Above Range show a positive relationship (R²>0.75). Focusing on Time in Range in 30-day windows, random effect represented by the patient's specific intercept reveals a high variability compared to the overall population intercept.

CONCLUSIONS

This study confirms the relationship between several CGM metrics and HbA1c; it also highlights the importance of an individualized interpretation of the CGM data.

Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform

Diabetes is a high-prevalence disease that leads to an alteration in the patient’s blood glucose (BG) values. Several factors influence the subject’s BG profile over the day, including meals, physical activity, and sleep. Wearable devices are available for monitoring the patient’s BG value around the clock, while activity trackers can be used to record his/her sleep and physical activity. However, few tools are available to jointly analyze the collected data, and only a minority of them provide functionalities for performing advanced and personalized analyses. In this paper, we present AID-GM, a web application that enables the patient to share with his/her diabetologist both the raw BG data collected by a flash glucose monitoring device, and the information collected by activity trackers, including physical activity, heart rate, and sleep. AID-GM provides several data views for summarizing the subject’s metabolic control over time, and for complementing the BG profile with the information given by the activity tracker. AID-GM also allows the identification of complex temporal patterns in the collected heterogeneous data. In this paper, we also present the results of a real-world pilot study aimed to assess the usability of the proposed system. The study involved 30 pediatric patients receiving care at the Fondazione IRCCS Policlinico San Matteo Hospital in Pavia, Italy.

Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease

Disease subtyping, which helps to develop personalized treatments, remains a challenge in data analysis because of the many different ways to group patients based upon their data. However, if we can identify subclasses of disease, then it will help to develop better models that are more specific to individuals and should therefore improve prediction and understanding of the underlying characteristics of the disease in question. This paper proposes a new algorithm that integrates consensus clustering methods with classification in order to overcome issues with sample bias. The new algorithm combines K-means with consensus clustering in order build cohort-specific decision trees that improve classification as well as aid the understanding of the underlying differences of the discovered groups. The methods are tested on a real-world freely available breast cancer dataset and data from a London hospital on systemic sclerosis, a rare potentially fatal condition. Results show that "nearest consensus clustering classification" improves the accuracy and the prediction significantly when this algorithm has been compared with competitive similar methods.

A multicenter prospective study on the risk of acquiring liver disease in anti-hepatitis C virus negative patients affected from homozygous beta-thalassemia

Although the risk of transfusion-transmitted hepatitis has been recently reduced, transfusion-dependent beta-thalassemia patients may still develop liver disease due to viral infection or iron overload. We assessed the frequency and causes of liver dysfunction in a cohort of anti-hepatitis C virus (HCV) negative thalassemics. Of 1,481 thalassemics enrolled in 31 centers, 219 (14.8%) tested anti-HCV- by second-generation assays; 181 completed a 3-year follow-up program consisting of alanine-aminotransferase (ALT) measurement at each transfusion and anti-HCV determination by third-generation enzyme-immunoassay (EIA-3) at the end of study. Serum ferritin levels were determined at baseline and at the end of follow-up. Ten patients were anti-HCV+ by EIA-3 at the end of follow-up. Of them, seven were already positive in 1992 to 1993 when the initial sera were retested by EIA-3, one tested indeterminate by confirmatory assay, and two had true seroconversion (incidence, 4. 27/1,000 person years; risk of infection, 1/7,100 blood units, 95% confidence interval [CI], 1 in 2,000-1 in 71,000 units). At baseline, 67 of 174 thalassemics had abnormal ALT. Of those with normal ALT, seven subsequently developed at least one episode of moderate ALT increase (incidence, 24.6/1,000 person-years). All of the 20 patients with ferritin values >/=3,000 ng/mL had clinically relevant ALT abnormalities, as compared with 53 of 151 with <3,000 ng/mL (P < .005). Hepatic dysfunction is still frequent in thalassemics. Although it is mainly attributable to siderosis and primary HCV infection, the role of undiscovered transmissible agents cannot be excluded.

The current risk of retroviral infections transmitted by transfusion in patients who have undergone multiple transfusions. Cooleycare Cooperative Group

BACKGROUND

To conduct a multicenter, prospective survey within the program of the Cooleycare Cooperative Group to evaluate the rate of transfusion-transmitted infections with human immunodeficiency virus (HIV) and human T-lymphotropic virus (HTLV) in a cohort of patients who were homozygous for beta thalassemia and underwent multiple transfusions during the 6-year follow-up.

PATIENTS AND METHODS

One thousand three hundred eighty-four patients with beta thalassemia from 36 centers were enrolled from December 1989 to March 1990. Serum samples were tested at regular intervals during the period from December 1989 to March 1996 for anti-HIV and anti-HTLV antibodies in 1 laboratory. Samples from 1073 and 1001 of the 1384 patients were available for evaluation also during the periods from December 1992 to March 1993 and December 1995 to March 1996, respectively. The risk of acquiring infection was calculated by the ratio between the number of patients who experienced seroconversion and the number of red blood cell units administered to the patients during the study period.

RESULTS

The prevalence of HIV infection found in the period from December 1989 to March 1990 was 2.9% (40 of 1384 patients). During follow-up, 1 of 1001 patients showed anti-HIV seroconversion. The incidence of HIV infection was 1.7 per 10,000 person-years (upper boundary of the 95% confidence interval, 5 per 10,000). The risk of HIV infection was 1 in 190,000 U (upper boundary of the 95% confidence interval, 1 in 67,000). At baseline, 4 patients were infected with HTLV (3 with HTLV-1 and 1 with HTLV-2). No seroconversions were observed during follow-up; the risk of HTLV infection was less than 1 in 190,000 U.

CONCLUSION

The application of reliable screening procedures for donor selection reduced the transmission of transfusion-associated HIV infection in 1989-1995 to fewer than 2 cases in 10,000 person-years or 1 case per 190,000 units of red blood cells.

The incidence and natural course of transfusion-associated GB virus C/hepatitis G virus infection in a cohort of thalassemic patients. The Cooleycare Cooperative Group

To evaluate the risk of transmitting blood-borne GB virus C/hepatitis G virus (GBV-C/HGV) and to define the natural course of infection, we performed a prospective study in a cohort of multitransfused beta-thalassemics during a 6-year follow-up period. We analyzed serum samples of 150 patients collected at 3-year intervals from 1990 to 1996. GBV-C/HGV RNA was determined by reverse transcriptase-polymerase chain reaction and antibodies to E2-protein by an enzyme immunoassay. At baseline, 14.5% of patients had viremia and 18.5% anti-E2. None of the patients with anti-E2 in 1990 subsequently became viremic. Of the 100 GBV-C/HGV RNA-, anti-E2- patients, 10 acquired infection during follow-up, as indicated by positivity of GBV-C/HGV RNA (n = 2), anti-E2 (n = 7), or both markers (n = 1) in 1996. The incidence was 1.7 per 100 person-years (95% confidence interval [CI], 0.8 to 3). Since approximately 19,000 blood units were transfused to these patients during follow-up, the risk of infection was 5.3 in 10,000 units (95% CI, 2 to 8.5). Six of 22 viremic patients cleared the virus during follow-up; 4 of them became anti-E2+. Twelve of 28 patients lost anti-E2 reactivity during follow-up. In conclusion, more than 25% of infections resolve within 6 years; the presence of anti-E2 seems to be protective against infection. Anti-E2 reactivity may decrease with time.

Asymptomatic hepatitis G virus infection in blood donors

BACKGROUND

Hepatitis G virus (HGV) has been reported in patients with fulminant hepatitis and aplastic anemia, but HGV RNA has also been found in healthy individuals. The possible associations of HGV with liver function and hematologic abnormalities in asymptomatic blood donors were investigated.

STUDY DESIGN AND METHODS

Serum HGV RNA was determined in 200 repeat donors (Group A), 44 subjects with elevated alanine aminotransferase (Group B), and 54 hepatitis C virus carriers (Group C). Liver histology was evaluated in Group C by using the histologic activity index.

RESULTS

HGV RNA was detected in three subjects of Group A (1.5%; 95% CI: 0.3-4.3), two of Group B (4.5%; 95% CI: 0.6-15.5%), and six of Group C (11.1%; 95% CI: 4.2-22.6). The prevalence of leukopenia and elevated gamma-glutamyl transpeptidase was higher in the 11 viremic donors than in 88 nonviremic subjects (36% vs. 2.3%, and 55% vs. 22%, respectively; p < 0.05), matched for clinical and demographic characteristics. The mean histologic activity index score +/- standard error was 4 +/- 0.7 in the HGV RNA-positive donors and 3.4 +/- 0.3 in the HGV RNA-negative donors.

CONCLUSION

HGV is endemic in Italian blood donors, although it has a limited role in causing liver damage. Further studies are needed to clarify its role in inducing transfusion-associated disease in myelosuppression.

Sexual transmission of hepatitis C virus to a repeat blood donor

BACKGROUND

Sexual transmission of hepatitis C virus (HCV) can occur, albeit inefficiently, and this represents a possible cause of community-acquired infections. This study describes a case of asymptomatic HCV infection acquired by a repeat blood donor from her sexual partner.

CASE REPORT

A female repeat blood donor showed anti-HCV seroconversion and a slight elevation in alanine aminotransferase. She had a normal physical examination and no clinical symptoms. She admitted a sexual partnership with a man with chronic HCV infection. Genotyping showed subtype 3a infection in both. Nucleotide sequence analysis of the hypervariable region of the viral envelope was performed on five clones obtained from the donor and the partner. Five blood donors with subtype 3a infection were analyzed as controls. The mean homology among clones was 99.3 percent (95% CI, 98.9-99.7) in the donor and 96.8 percent (95% CI, 94.4-99.2) in the partner, which suggests a more recent infection in the woman. The mean homology between donor and partner was 93.4 percent (95% CI, 93.1-93.8), which is different from that between donor and controls (76.2%; 95% CI, 73.3-79.1; difference between means, 17.2%; 95% CI, 16.0-18.4). This suggests that the infection was transmitted to the donor from her sexual partner. Sexual intercourse is the most probable route of transmission, because parenteral risk factors were absent.

CONCLUSION

Heterosexual transmission of HCV can occur in the absence of a long-lasting contact, and the infection can be asymptomatic. It remains to be determined whether the sexual partners of HCV-infected subjects should be deferred from blood donation.

The incidence and risk factors of community-acquired hepatitis C in a cohort of Italian blood donors

To assess the incidence and source of community-acquired hepatitis C virus (HCV) infection among subjects at low risk for blood-borne diseases, we prospectively studied a cohort of 16,515 repeat blood donors over a mean follow-up time of 36 months. Second- and third-generation methods were used for hepatitis C virus antibody (anti-HCV) testing. HCV RNA was determined in the serum of anti-HCV-positive donors by reverse-transcription polymerase chain reaction. Liver biopsy was performed in the viremic subjects. Risk factors for HCV infection were identified by a psychosocial questionnaire in the whole cohort. During follow-up, 5 donors became infected with HCV. The incidence was 1 per 10,000 person-years (95% confidence interval, 0.3-2.4 per 10,000). During the 6 months before seroconversion, four subjects (80%) underwent medical or surgical percutaneous procedures, compared with 26.5% in the entire donor cohort (difference between frequencies, 53.5%; CI: 18.9-89.1). One seroconverting donor had sexual intercourse with an infected subject. Only 1 infected donor developed clinically evident acute hepatitis. HCV RNA remained detectable in 4 of 5 subjects for 8 to 36 months after seroconversion, and liver biopsy showed chronic hepatitis in all cases. Thus, new cases of hepatitis C occur among individuals without a history of known risk factors, some of which may be caused by nosocomial exposure.

Influence of different hepatitis C virus genotypes on the course of asymptomatic hepatitis C virus infection

BACKGROUND & AIMS

The association of liver disease with hepatitis C virus (HCV) genotypes mainly refers to patients with serious liver damage; little information is available on symptomless carriers. The aim of this study was to investigate the correlation of genotypes with clinical course, risk factors for infection, and antibody to HCV reactivity in asymptomatic subjects.

METHODS

One hundred nine viremic blood donors with at least 1 year of follow-up were studied; 41 underwent liver biopsy. Genotypes were determined by line-probe assay.

RESULTS

Genotype 1 was found in 47 (43.1%), genotype 2 in 48 (44%), genotype 3 in 8 (7.3%), genotype 4 in 2 (1.8%), and coinfections in 4 (3.7%). The relative risk (RR) for a raised pattern of alanine aminotransferase, aspartate aminotransferase, and gamma-glutamyltranspeptidase was 2.1 (confidence interval [CI], 1.4-3.2), 1.7 (CI, 1.2-2.4), and 2.8 (CI, 1.6-4.9) in subjects with genotype 1 vs. 0.4 (CI, 0.2-0.7), 0.4 (CI, 0.3-0.7), and 0.4 (CI, 0.2-0.8) in subjects with genotype 2. Chronic hepatitis was found in 68%; the RR of chronic hepatitis was similar for genotypes 1 and 2 (RR, 1.1 [CI, 0.8-1.7] vs. RR, 1.0 [CI, 0.7-1.6]). Reactivity to NS4-derived antigens was infrequent in type 2-infected subjects.

CONCLUSIONS

Genotype 2 was as frequent as genotype 1 but associated with less liver function impairment. The high prevalence of chronic hepatitis should be considered in counseling viremic asymptomatic donors.

Hepatitis C virus RNA and liver histology in blood donors reactive to a single antigen by second-generation recombinant immunoblot assay

The clinical significance of single band reactivity (indeterminate pattern) at anti-hepatitis C virus (HCV) second-generation recombinant immunoblot assay (RIBA-2) was investigated in symptomless subjects with normal liver function tests to obtain data for their counseling and clinical management. Serum and hepatic HCV RNA were determined by the nested polymerase chain reaction, and liver histology was evaluated in 40 symptomless blood donors with stable indeterminate RIBA-2 pattern, including 38 reactive to c22-3. All but one had normal alanine aminotransferase (ALT) levels. Two new immunoblot tests, RIBA-3 and INNO-LIA HCV Ab III (LIA-III), which incorporate additional HCV antigens, were also done to assess whether they could identify the viremic subjects. Ten cases (25%, confidence interval 12 to 38) were HCV RNA positive. Three of the HCV RNA-positive and none of the HCV RNA-negative subjects had chronic hepatitis. RIBA-2 strong intensity of reaction (score > 2+) was observed in all the HCV RNA-positive and in 12 HCV RNA-negative subjects. RIBA-3 and LIA-III gave positive results in 9 of 10 and 10 of 10 HCV RNA-positive, but also in 8 of 30 and 24 of 30 HCV RNA-negative subjects. A c-22-3 reactivity score of 4+ by RIBA-3 and E2/NS1 reactivity by LIA-III were both strongly associated with HCV RNA (P < .001). Based on relatively high prevalence of chronic hepatitis in our series (30%), apparently healthy subjects with stable indeterminate RIBA-2 pattern and HCV RNA positivity should be considered for liver biopsy independently of ALT profile.(ABSTRACT TRUNCATED AT 250 WORDS)

[Effect of althesin on intraocular pressure]

A study was undertaken on three groups of surgical patient to compare the variations of the intraocular tension induced by Althesin. In the first group was used only Althesin, for the second Althesin associated with a depolarizing curare, for the third Althesin plus neuroleptoanalgesia and succinylcholine. During the operation in every group was observed a fall of intraocular tension produced by Althesin, but no significative changes with reference to the others drugs employed. The Authors conclude that the association of Althesin with neuroleptoanalgesia is the method of choice because it does not interfere with the fall of intraocular tension induced by the use of Althesin alone and because assure awakening without pain.