With the development and advancement of information technology, the application of artificial intelligence (AI) in the medical field has expanded significantly, and its integration into primary healthcare continues to grow. This paper employs the SWOT analysis framework to systematically examine the strengths, weaknesses, opportunities, and threats of AI technology in primary healthcare, using diabetes mellitus as a case study. The goal is to facilitate broader application and deeper integration of AI in primary healthcare settings. Furthermore, this analysis aims to ensure the robust development of AI technology in the medical field, thereby enhancing the prevention and management of chronic diseases at the primary care level.

With the development and advancement of information technology, the application of artificial intelligence (AI) in the medical field has expanded significantly, and its integration into primary healthcare continues to grow. This paper employs the SWOT analysis framework to systematically examine the strengths, weaknesses, opportunities, and threats of AI technology in primary healthcare, using diabetes mellitus as a case study. The goal is to facilitate broader application and deeper integration of AI in primary healthcare settings. Furthermore, this analysis aims to ensure the robust development of AI technology in the medical field, thereby enhancing the prevention and management of chronic diseases at the primary care level.

A 79-year male presenting with abdominal distension, diarrhea, edema and oliguria, which soon progressed to acute renal failure, was admitted in Xiamen Branch of Zhongshan Hospital. The diagnosis of atypical hemolytic uremic syndrome (aHUS) was confirmed after admission. The hematological parameters and renal function were improved after prompt hemodialysis, plasma exchange, plasma and immunoglobulin transfusion. The patient experienced multiple recurrences of aHUS within 1 year, but achieved long-term remission with regular use of eculizumab. The reported cases of aHUS were searched from Wanfang Data Knowledge Service Platform and CNKI Database from January 2000 to January 2024, and 64 non-pregnant adult aHUS cases were retrieved from literature. The analysis of 65 cases showed a male-to-female ratio was 1.2∶1 and an average age of 34.8 years ranging from 20 to 86 years. Common clinical manifestations included fever (24 cases, 36.9%), renal dysfunction (27 cases, 41.5%), and neurological symptoms (15 cases, 23.1%). Additionally, 40 cases (61.5%)had concomitant hypertension. Among the 65 patients, 36 (55.4%) received hemodialysis, 31 (47.7%) underwent plasma exchange or plasma transfusion, 29 (44.6%) were treated with glucocorticoids, and only 3 (4.6%) were treated with eculizumab. In terms of treatment outcomes, 29.2% (19 cases)of the patients achieved complete renal function recovery, 46.2% (30 cases)developed end-stage renal disease, and 4 patients died. aHUS presents with a variety of clinical manifestations involving multiple systems. Plasma exchange remains the primary treatment method at present. Early and accurate diagnosis, prompt and effective treatment can significantly improve patient prognosis.

Objective:To develop an assessment scale for measuring knowledge, attitude and practice of general practitioners in primary care towards diabetic microangiopathy.Methods:The knowledge-attitude-practice (KAP) theory was used as a framework to draw up the initial item pool based on related literature and guidelines during March to October 2022. Two rounds of Delphi consultation were conducted among 15 experts from general medicine and related fields. The positive coefficient, authority coefficient and coordination coefficient of experts were calculated, and the threshold table of indexes was screened, and the final assessment scale of KAP was developed after the two rounds of consultation.Results:The developed primary care general practitioners′ KAP assessment scale for diabetic microangiopathy consists of 3 primary indexes and 52 secondary indexes(25 of knowledge scale, 13 of attitude scale, 14 of practice scale). The positive coefficient of experts was 100.0% and the authority coefficient of experts was 0.89 in both rounds of consultation; and the coordination coefficient of experts was 0.319 and 0.322 for the first and second consultations, respectively (both P<0.05). Conclusion:A KAP assessment scale of diabetic microangiopathy for primary care general practitioners has been developed in this study. The expert positive coefficient, authority coefficient and expert coordination coefficient meet the requirements, which provides reference for evaluating the management ability of diabetic microangiopathy of primary care general practitioners.

Objective:To screen high-risk population of chronic obstructive pulmonary disease (COPD) and to analyze the risk factors in Haicang District of Xiamen City.Methods:A questionnaire survey was conducted from February 2023 to May 2023 among residents who visited or underwent physical examinations at five community health service centers in Haicang District of Xiamen City selected by cluster sampling method. The self-designed general information questionnaire, COPD population screening questionnaire (COPD-PS) and COPD screening questionnaires (COPD-SQ) were applied in the survey. Individuals with COPD-PS scale>5 or COPD-SQ scale>16 were defined as COPD high-risk group. The association of COPD risk with gender, age, smoking, family history of COPD, history of tuberculosis, history of COVID-19 infection, and using coal/woodstove for cooking or heating was analyzed with chi-square test and binary logistic regression analysis.Results:A total of 4 260 questionnaires were distributed and 4 221 valid questionnaires were collected with a recovery rate of 99.6%. Among all respondents there were 1 904 males (45.11%) and 2 317 females (54.89%); and 217 individuals aged 40-<50 (5.14%), 434 aged 50-<60 (10.28%), 2 194 aged 60-<70 (51.98%), 1 302 aged 70-<80 (30.85%) and 74 aged≥80 (1.76%). The results showed that there were 269 respondents (6.4%) scored≥5 on the COPD-PS scale, 534 residents (12.7%) scored≥16 on the COPD-SQ scale, 646 (15.3%) scored≥5 on the COPD-PS scale or≥16 on the COPD-SQ scale. Male gender ( OR=2.592, 95% CI:2.135-3.146), second-hand smoke exposure ( OR=3.763, 95% CI:2.944-4.810), frequently catching cold before the age of 14 ( OR=3.804, 95% CI:2.927-4.944), history of tuberculosis ( OR=2.575, 95% CI:1.224-5.418), hypertension ( OR=1.547, 95% CI:1.277-1.875), and diabetes ( OR=1.791, 95% CI:1.027-3.121) were independently associated with the high-risk of COPD, while the history of COVID-19 ( OR=0.583, 95% CI:0.476-0.714) was a protective factor for COPD risk. Conclusion:Males, exposure to second-hand smoke, frequently catching cold before the age of 14, history of tuberculosis, hypertension, and diabetes will increase the risk of COPD, while the history of COVID-19 is a protective factor.