Conectar
by Ruijuan Guan, Zefeng Kang, Ling Li, Xin Yan, Tianpeng Gao
ObjectiveTo explore their association with the development of diabetes retinopathy (DR), single nucleotide polymorphism (SNP) mutations were screened out by high-throughput sequencing and validated in patients diagnosed with DR. To understand the role of PIK3CA in the pathogenesis of DR and explore the relationship between PIK3CA,phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR),and DR, the effect of PIK3CA.rs17849079 mutation was investigated in a DR cell model.
MethodsTwelve patients diagnosed with DR at the Qinghai Provincial People’s Hospital from September 2020 to June 2021 were randomly selected as the case group, while 12 healthy subjects of similar age and gender who underwent physical examination in Qinghai Provincial People’s Hospital physical examination center during the same period were randomly selected as the control group. Blood samples (2 mL) were collected from both groups using EDTA anticoagulant blood collection vessels and frozen at −20°C for future analysis. SNP mutations were detected by high-throughput sequencing, and the shortlisted candidates were subjected by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The detected SNP candidates were verified by expanding the sample size (first validation: 56 patients in the case group and 58 controls; second validation: 157 patients in the case group and 96 controls). A lentivirus vector carrying mutated or wild-type PIK3CA.rs17849079 was constructed. ARPE-19 cells were cultured in a medium supplemented with 10% fetal bovine serum (FBS) to establish a DR cell model. PIRES2-PIK3CA-MT and PIRES2-PIK3CA-WT vectors were transfected into DR model cells, which were categorized into control, mannitol, model, empty vector, PIK3CA wild-type, and PIK3CA mutant-type groups. Cell activity was detected by the cell counting kit (CCK)-8 assay, and cellular apoptosis was evaluated by flow cytometry. Glucose concentration and levels of cytokines tumor necrosis factor (TNF)-α and interleukin (IL)-1β were detected using enzyme-linked immunosorbent assay kits. The expression of PIK3CA, AKT1, mTOR, and VEGF genes was detected by real-time quantitative polymerase chain reaction (RT-qPCR), while the expression of PI3K, p-PI3K, AKT1, p-AKT1, mTOR, p-mTOR, and VEGF proteins was detected by western blotting.
ResultsThe mutated SNPs were mainly enriched in the PI3K/AKT pathway, calcium ion pathway, and glutamatergic synaptic and cholinergic synaptic signaling pathways. Seven SNPs, including PRKCE.rs1533476, DNAH11.rs10485983, ERAP1.rs149481, KLHL1.rs1318761, APOBEC3C.rs1969643, FYN.rs11963612, and KCTD1.rs7240205, were not related to the development of DR. PIK3CA.rs17849079 was prone to C/T mutation. The risk of DR increased with the presence of the C allele and decreased in the presence of the T allele. High glucose induced the expression of PIK3CA and VEGF mRNAs as well as the expression of PI3K, p-PI3K, p-AKT1, p-mTOR, and VEGF proteins in ARPE-19 cells, which led to secretion of inflammatory factors TNF-αand IL-1, cell apoptosis, and inhibition of cell proliferation. The PIK3CA.rs17849079 C allele accelerated the progression of DR. These biological effects were inhibited when the C allele of PIK3CA.rs17849079 was mutated to T allele.
ConclusionThe mutated SNP sites in patients with DR were mainly enriched in PI3K/AKT, calcium ion, and glutamatergic synaptic and cholinergic synaptic signaling pathways. The rs17849079 allele of PIK3CA is prone to C/T mutation where the C allele increases the risk of DR. High glucose activates the expression of PIK3CA and promotes the phosphorylation of PI3K, which leads to the phosphorylation of AKT and mTOR. These effects consequently increase VEGF expression and accelerate the development of DR. The C to T allele mutation in PIK3CA.rs17849079 can play a protective role and reduce the risk of DR.
This study aims to evaluate the clinical effects of different blood derivatives on wound healing using network meta-analysis. PubMed, Embase, OVID, Web of Science, SCOPUS and Cochrane Central were searched to obtain studies about blood derivatives on wound healing until October 2023. R 4.2.0 and Stata 15.0 softwares were used for data analysis. Forty-four studies comprising 5164 patients were included. The results of network meta-analysis showed that the healing area from high to low was GF + ORCCB, ORCCB, GF, PRF, Unnas paste dressing, APG, PRP injection, PRP, PRP + thrombin gel, PPP, HPL, CT. The healing time from low to high was PRP + thrombin gel, GF, PRP, PC + K, PC, APG, PRF, CT, Silver sulfadiazine ointment. The number of patients cured from high to low was APG, PRP injection, PRP, Aurix, PRF, Leucopatch, HPL, Antimicrobial Ointment Dressing, CT, 60 μg/cm2 repifermin, 120 μg/cm2 repifermin, AFG, PPP. The order of analgesic effect from high to low was AFG, Aminogam gel, PRF, PRP, Oxidised oil, APG, GF, CT. The order of the number of wound infection cases from low to high is APG, 20 μg/cm2 repifermin, 60 μg/cm2 repifermin, PRP, LeucoPatch, CT, PPP, Antiseptic ointment dressing. Healing area: GF + ORCCB had the best effect; Healing time: PRP + thrombin gel took the shortest time. The number of cured patients and the reduction of wound infection: APG has the best effect. Analgesic effect: AFG has the best effect. More studies with large sample sizes are needed to confirm the above findings.
To ascertain the prevalence and associated factors of anxiety symptoms among middle and high school students in Zhejiang after 2 years of the COVID-19 pandemic.
A school-based cross-sectional study.
30 counties/districts in Zhejiang Province, China.
27 019 students attending middle and high schools.
Anxiety symptoms were assessed using the Generalised Anxiety Disorder 7-item scale (GAD-7). A total score of 10 or more is considered indicative of anxiety symptoms.
The overall prevalence (95% CI) of anxiety symptoms was 14.2% (13.4 to 15.0), higher among girls (18.6%, 95% CI: 17.5 to 19.7) than boys (10.2%, 95% CI: 9.5 to 10.9) (p
Anxiety symptoms prevailed among middle and high school students in China. A variety of factors, containing sociodemographic factors, lifestyle behaviours, mental health, academic performance and physical fight should be taken in consideration in addressing prevention and intervention of anxiety symptoms.
To comprehend the current research hotspots and emerging trends in big data research within the global nursing domain.
Bibliometric analysis.
The quality articles for analysis indexed by the science core collection were obtained from the Web of Science database as of February 10, 2023.The descriptive, visual analysis and text mining were realized by CiteSpace and VOSviewer.
The research on big data in the nursing field has experienced steady growth over the past decade. A total of 45 core authors and 17 core journals around the world have contributed to this field. The author's keyword analysis has revealed five distinct clusters of research focus. These encompass machine/deep learning and artificial intelligence, natural language processing, big data analytics and data science, IoT and cloud computing, and the development of prediction models through data mining. Furthermore, a comparative examination was conducted with data spanning from 1980 to 2016, and an extended analysis was performed covering the years from 1980 to 2019. This bibliometric mapping comparison allowed for the identification of prevailing research trends and the pinpointing of potential future research hotspots within the field.
The fusion of data mining and nursing research has steadily advanced and become more refined over time. Technologically, it has expanded from initial natural language processing to encompass machine learning, deep learning, artificial intelligence, and data mining approach that amalgamates multiple technologies. Professionally, it has progressed from addressing patient safety and pressure ulcers to encompassing chronic diseases, critical care, emergency response, community and nursing home settings, and specific diseases (Cardiovascular diseases, diabetes, stroke, etc.). The convergence of IoT, cloud computing, fog computing, and big data processing has opened new avenues for research in geriatric nursing management and community care. However, a global imbalance exists in utilizing big data in nursing research, emphasizing the need to enhance data science literacy among clinical staff worldwide to advance this field.
This study focused on the thematic trends and evolution of research on the big data in nursing research. Moreover, this study may contribute to the understanding of researchers, journals, and countries around the world and generate the possible collaborations of them to promote the development of big data in nursing science.
As part of their treatment, lung cancer patients frequently endure thoracic oncological surgery, with preoperative chemotherapeutic interventions being the common approach. However, the potential impact of these chemotherapeutic regimens on cutaneous wound healing outcomes following surgery remains the topic of considerable clinical interest. This meta-analysis sought to evaluate comprehensively the effect of preoperative chemotherapeutic regimens on cutaneous wound healing in lung cancer patients following thoracic oncological surgery. Extensive literature searches were conducted using the leading databases PubMed, Embase, Cochrane Library and Scopus. Eight studies out of 1342 identified satisfied the inclusion criteria. Consideration was given to both randomized controlled trials (RCTs) and observational studies. Data pertaining to study characteristics, patient demographics, chemotherapeutic regimens and wound healing outcomes were extracted with great attention to detail. The examination of these varied studies provided insights into the fluctuations in rates of recovery following treatment, incidences of wound infections and frequencies of surgical complications. The research studies provided odds ratios for recovery that varied significantly in magnitude from 0.95 to 0.38, with regard to the probability of wound infection. Furthermore, a range of odds ratios for complications were disclosed, with certain odds ratios displaying narrow confidence intervals. The complexity of the effect of preoperative chemotherapy on wound closure subsequent to thoracic oncologic surgery is highlighted by our findings. The results underscore the need for individualized treatment strategies for lung cancer patients undergoing surgical procedures that strike a balance between patient safety and optimal clinical outcomes.
by Guanghao Xin, Jingyan Niu, Qinghua Tian, Yanchi Fu, Lixia Chen, Tingting Yi, Kuo Tian, Xuesong Sun, Na Wang, Jianjian Wang, Huixue Zhang, Lihua Wang
BackgroundParkinson’s disease is the second most common neurodegenerative disease in the world. However, current diagnostic methods are still limited, and available treatments can only mitigate the symptoms of the disease, not reverse it at the root. The immune function has been identified as playing a role in PD, but the exact mechanism is unknown. This study aimed to search for potential immune-related hub genes in Parkinson’s disease, find relevant immune infiltration patterns, and develop a categorical diagnostic model.
MethodsWe downloaded the GSE8397 dataset from the GEO database, which contains gene expression microarray data for 15 healthy human SN samples and 24 PD patient SN samples. Screening for PD-related DEGs using WGCNA and differential expression analysis. These PD-related DEGs were analyzed for GO and KEGG enrichment. Subsequently, hub genes (dld, dlk1, iars and ttd19) were screened by LASSO and mSVM-RFE machine learning algorithms. We used the ssGSEA algorithm to calculate and evaluate the differences in nigrostriatal immune cell types in the GSE8397 dataset. The association between dld, dlk1, iars and ttc19 and 28 immune cells was investigated. Using the GSEA and GSVA algorithms, we analyzed the biological functions associated with immune-related hub genes. Establishment of a ceRNA regulatory network for immune-related hub genes. Finally, a logistic regression model was used to develop a PD classification diagnostic model, and the accuracy of the model was verified in three independent data sets. The three independent datasets are GES49036 (containing 8 healthy human nigrostriatal tissue samples and 15 PD patient nigrostriatal tissue samples), GSE20292 (containing 18 healthy human nigrostriatal tissue samples and 11 PD patient nigrostriatal tissue samples) and GSE7621 (containing 9 healthy human nigrostriatal tissue samples and 16 PD patient nigrostriatal tissue samples).
ResultsUltimately, we screened for four immune-related Parkinson’s disease hub genes. Among them, the AUC values of dlk1, dld and ttc19 in GSE8397 and three other independent external datasets were all greater than 0.7, indicating that these three genes have a certain level of accuracy. The iars gene had an AUC value greater than 0.7 in GES8397 and one independent external data while the AUC values in the other two independent external data sets ranged between 0.5 and 0.7. These results suggest that iars also has some research value. We successfully constructed a categorical diagnostic model based on these four immune-related Parkinson’s disease hub genes, and the AUC values of the joint diagnostic model were greater than 0.9 in both GSE8397 and three independent external datasets. These results indicate that the categorical diagnostic model has a good ability to distinguish between healthy individuals and Parkinson’s disease patients. In addition, ceRNA networks reveal complex regulatory relationships based on immune-related hub genes.
ConclusionIn this study, four immune-related PD hub genes (dld, dlk1, iars and ttd19) were obtained. A reliable diagnostic model for PD classification was developed. This study provides algorithmic-level support to explore the immune-related mechanisms of PD and the prediction of immune-related drug targets.
Proximal humerus fractures are common in clinical practice, and there are relatively a few studies on postoperative incision infections of such fractures. The purpose of this study was to explore the risk factors for surgical site infection (SSI) after internal fixation in patients with closed proximal humerus fractures. Patients with closed proximal humerus fractures who underwent surgery from January 2016 to January 2022 were retrospectively analysed. Cases with superficial or deep infections within 3 months after surgery were in the infection group and the remaining cases were in the non-infection group. The types of pathogenic bacteria in the infection group were analysed. The potential risk factors for SSI in all patients were recorded: (1) patient-related factors: gender, age, body mass index (BMI), smoking, comorbidities; (2) trauma-related factors: mechanism of injury, Injury Severity Score, visual analogue scale, fracture type, soft tissue condition and combined dislocation; (3) laboratory-related indexes: haemoglobin, albumin; (4) surgery-related factors: time from injury to surgery, American Society of Anesthesiologists anaesthesia classification, surgical time, fixation mode, intraoperative blood loss, suture method, bone graft and postoperative drainage. The risk factors for the occurrence of SSI were analysed using univariate analysis and multivariate logistic regression. The incidence of SSI was 15.7%. The most common bacterium in the infection group was Staphylococcus aureus. High BMI (p = 0.033), smoking (p = 0.030), an increase in mean time from injury to definitive surgery (p = 0.013), and prolonged surgical time (p = 0.044) were independent risk factors for the development of SSI after closed proximal humeral fractures. In patients with closed proximal humerus fractures, weight loss, perioperative smoking cessation, avoidance of delayed surgery, and shorter surgical time may be beneficial in reducing the incidence of SSI.
Diabetic foot ulcers (DFUs) pose significant clinical challenges, representing severe complications in diabetes mellitus patients and contributing to non-traumatic amputations. Identifying reliable biomarkers can optimize early diagnosis and improve therapeutic outcomes. This study focused on evaluating the association between serum levels of 25-hydroxyvitamin D [25-(OH)D], Serum Retinol Binding Protein (RBP), and Cyclooxygenase-2 (COX-2) in elderly DFU patients. A retrospective study involving 240 participants, from March 2020 to March 2023. The participants were segmented into three cohorts: 80 with DFUs, 80 diabetic patients without DFUs, and 80 healthy controls. Serum concentrations of the three biomarkers were assayed using methods like enzyme-linked immunosorbent assay (ELISA), chemiluminescence immunoassay, and an automated biochemistry analyser. Comparisons were made both between groups and within the DFU group based on disease severity. Statistical analysis revealed significant differences in biomarker levels across the groups (p < 0.05). COX-2 and RBP concentrations were highest in the DFU group, followed by the non-DFU diabetic group, and lowest in the control group. Conversely, 25(OH)D levels were highest in the control group, followed by the non-DFU diabetic group, and lowest in the DFU group. Within the DFU group, RBP and COX-2 levels increased with disease severity, while 25(OH)D levels decreased. These variations were especially pronounced in patients with the most severe Wagner grading. A significant positive correlation was observed between disease severity and levels of RBP (r = 0.651, p < 0.05) and COX-2 (r = 0.356, p < 0.05). Conversely, a significant negative correlation was identified between disease severity and 25(OH)D levels (r = −0.658, p < 0.05). Assessing 25(OH)D, RBP, and COX-2 serum levels offers a promising tool for evaluating the severity and progression of DFUs. Monitoring these biomarkers can enrich our understanding of the metabolic and inflammatory pathways of the disease and potentially refine therapeutic strategies.
by Shuguang Zhao, Jue Zhou, Ting Wang
While conspiracy theories have received extensive attention in the realm of misinformation, there has been limited research exploring the impact of conspiracy mentality on individuals’ preventive behaviors during acute public health crises. This study investigates how conspiracy mentality may affect compliance with preventive health measures necessary to fight the COVID-19 pandemic, and the underlying emotional and cognitive mediators. Data was collected through a survey among 1878 Chinese respondents at the conclusion of the pandemic. The results indicate that individuals with higher levels of conspiracy mentality are significantly less engaged in preventive behaviors. Furthermore, this correlation is mediated by a sequence of mediating factors, starting from anger leading to institutional distrust and fear leading to perceived risk. Conspiracists’ response mode can be described as a state of "attentive immobility," in which the impact of heightened institutional distrust outweighs their perceptions of risk, ultimately reducing engagement in preventive behaviors during crises. These findings underscore the importance of debunking initiatives that aim to address and mitigate the negative consequences of conspiracy mentality by targeting the mediating psychological processes during future pandemic threats.Due to the global increase in thoracic interventions, there is greater emphasis on refining post-operative care. The purpose of this study was to validate the visual analogue scale (VAS) as the valid method for measuring post-operative pain in thoracic surgery patients. From January 2020 to June 2022, this cross-sectional study investigated 240 adult patients who underwent elective thoracic surgeries in Thoracic Surgery Department of Heilongjiang Provincial Hospital. The participants were instructed to rate their discomfort using VAS at predetermined intervals after surgery. The following demographic and clinical information was recorded: age, gender, type of thoracic surgery, and history of chronic pain. Results showed a progressive decline in post-operative VAS scores over 72 h: 8.2 immediately after surgery, 6.0 at 24 h, 5.4 at 48 h, and 3.6 by 72 h. There were notable correlations between VAS scores and chronic pain history, with moderately positive correlation of 0.40 being observed. Mean scores for males and females were 3.8 and 3.9, respectively. The analysis by age revealed comparable mean scores for age categories below and above 40. With the exception of thoracic wall resection, which resulted in an average VAS score of 4.1 ± 1.0 (p < 0.05), the type of surgery had the minimal effect on variability of pain scores. The VAS is a reliable method for evaluating post-thoracic surgery discomfort. Given the substantial impact of pain history on VAS scores, there is an urgent need for personalized pain management strategies to improve post-operative care.
This retrospective cohort study aimed to identify the risk factors associated with postoperative wound infections in patients undergoing open reduction and internal fixation for tibial plateau fractures. The study was conducted between January 2019 and December 2022, with stringent inclusion and exclusion criteria. Data were collected from the Electronic Health Record system, including demographic information, lifestyle habits, comorbid conditions and surgical variables like preoperative American Society of Anesthesiologists (ASA) scores. The IBM Statistical Package for the Social Sciences, version 27.0, was utilized for rigorous statistical analyses. Univariate analysis identified several factors, such as body mass index (BMI), smoking status and diabetes mellitus, as significant predictors of postoperative wound infection. Multivariate logistic regression revealed that BMI, type of fracture (open vs. closed), surgery duration exceeding 150 min, preoperative albumin levels below 35 g/L and preoperative ASA score of 3 or higher were significant independent risk factors (p < 0.05). Patients with open fractures, preoperative malnutrition, elevated preoperative ASA scores and a history of smoking are at a heightened risk of developing postoperative wound infections. Timely preoperative evaluation of these risk factors is crucial for minimizing the risk of surgical site infections and optimizing clinical management.
Long-term care needs for people with dementia are predicted to increase due to increased life expectancy and dementia diagnoses. Most published meta- syntheses of dementia care focus on hospitals or home settings. When focusing on long-term care facilities, most reviews about dementia care only focus on a single outcome, such as feeding, behavioural symptoms management, palliative care and others, which is limited. The present study aims to synthesise qualitative data and examine barriers and facilitators to caring for people with dementia in long-term care facilities.
This is the protocol for our systematic review and meta-synthesis, which describes the design of this study, and we plan to complete the study from October 2023 to November 2024. The systematic review and meta-synthesis will follow the Joanna Briggs Institute (JBI) guidance for systematic reviews of qualitative evidence. Nine databases (five English and four Chinese) were searched, including Embase, Web of Science, Medline, CINAHL, PsycINFO and Wan Fang Data, China National Knowledge Infrastructure, VIP and Chinese Biomedical Medicine, from inception to August 2023. Qualitative and mixed-approach research about barriers and facilitators to caring for people with dementia in long-term care facilities, which are reported in English or Chinese, will be included. Covidence software will help with study selection, assessment and data extraction. The JBI Critical Appraisal Checklist for Qualitative Research (2020) will be used for included studies’ quality assessment. Data extraction will be based on the JBI Qualitative Assessment and Review Instrument Data Extraction Tool for Qualitative Research. The JBI aggregation approach will be used to synthesise data. We will use the JBI ConQual tool to assess the credibility and dependability of each synthesised finding to establish confidence in the synthesised findings. All review steps will be managed by two reviewers independently, and disparities will be discussed. If consensus cannot reach a resolution, a third reviewer will be consulted.
The present study is a secondary analysis of published qualitative data. So ethical approval is not required. The findings may be disseminated through peer-reviewed publications, conference papers or elsewhere.
The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) in May 2022, and the registration number is CRD42022326178.
To examine the multidimensional properties of caregiver burden among family caregivers of patients with advanced cancer in a palliative context.
A sequential, explanatory, mixed-method study was performed.
Family caregivers of patients diagnosed with advanced cancer were recruited from a palliative care department of a third-level hospital in Sichuan Province, China. The Caregiver Burden Inventory, Social Support Rating Scale and Connor–Davidson Resilience Scale were used to collect quantitative data, and a total of 150 caregivers were recruited from January 2022 to September 2022. Qualitative data were collected through semi-structured interviews, and a total of 22 caregivers were interviewed from October 2022 to November 2022. Survey data were analysed using descriptive statistics, and the factors of caregiver burden were identified using the Mann–Whitney U test, Kruskal–Wallis H test and Spearman correlations. Interpretative phenomenological analysis was performed to analyse the interview data to initially explore the multidimensions of caregiver burden. The following-a-thread method and convergence coding matrix were used for triangulation to examine the multidimensional properties of caregiver burden.
The participants experienced a moderate level of caregiver burden (32.97 ± 13.09). Through triangulation, six meta-themes and nine meta-subthemes were identified as multidimensional properties of caregiver burden, including physical (too many caring tasks and poor health condition), emotional (strong negative emotions resulting from patients' suffering and insufficient and ineffective family communication), social (less social interaction and social role conflict) and economic burdens, factors that aggravate burden (prevention and control of COVID-19 and spousal relationship with patients) and factors that mitigate burden (social support).
Multiple dimensions of caregiver burden were experienced by family caregivers of patients with advanced cancer in the palliative context. Family-centred palliative care must be further developed.
It is important to develop family-centred palliative care. Therefore, the focus must be on developing a rational understanding of palliative care in public and a culture-oriented death education in palliative units.
This study adopted a mixed-method approach to comprehensively understand the phenomenon of and factors in caregiver burden in the Chinese palliative oncology context. Our findings suggest that family caregivers in palliative oncology experience a moderate level of caregiver burden, with dimensions including physical, emotional, social and economic burdens, among which emotional burden is the most prominent. The findings of this study provide policy makers and nurse practitioners with targets to be addressed in family-centred care in Chinese palliative units.
The results of this study are reported based on the guidelines of the Mixed-Methods Article Reporting Standards.
Eligible caregivers were invited to participate in the study and semi-structured interviews. Nurse managers of the palliative unit helped us access the patient-management system.
To providing evidence-based recommendations for surgery in patients with femoral neck fractures, a meta-analysis was conducted to comprehensively evaluate the effects of cemented and uncemented prostheses on postoperative surgical site wound infection and pain in these patients. Relevant studies on the use of cemented prostheses in femoral neck fractures were retrieved from PubMed, EMBASE, Cochrane Library, Ovid, CNKI, and Wanfang databases from the time of their establishment until March 2023. Two authors independently screened and extracted data from the included and excluded literature according to predetermined criteria. Review Manager 5.4 software was used to perform meta-analyses on the collected data. A total of 27 articles comprising 34 210 patients (24 646 cases in the cemented group and 9564 cases in the uncemented group) were included in the final analysis. The results of the meta-analysis showed that, compared with the uncemented group, cemented prostheses significantly reduced the incidence of surgical site wound infections (odds ratio [OR]: 0.75, 95% confidence interval [CI]: 0.64–0.88, p < 0.001) and relieved surgical site wound pain (standardised mean difference: −0.76, 95% CI: −1.12–0.40, p < 0.001), but did not reduce the incidence of pressure ulcers after surgery (OR: 0.50, 95% CI: 0.20–1.26, p = 0.140). Therefore, existing evidence suggests that the use of cemented prostheses in femoral neck fracture surgery can significantly reduce the incidence of surgical site wound infections and relieve surgical site wound pain, which is worthy of clinical recommendation.
Background
Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual.
Objectives
We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time.
Methods
We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns.
Results
Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year.
Conclusion
We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels. 
FreshRSS 