Tuberculosis risk prediction and drug intervention for latent tuberculosis infection (LTBI) patients plays an important role in achieving the goal of eliminating tuberculosis. At present, the diagnostic methods of LTBI still have some defects and cannot predict the risk of LTBI progression to active tuberculosis. In this paper, studies of LTBI advancing into tuberculosis in genomics, transcriptomics, proteomics and metabonomics have been comprehensively summarized, and the further development of markers for risk prediction is prospected.
Objective To explore the value of procalcitonin (PCT) in differential diagnosis of invasive candidiasis. Methods PubMed, Embase, Medline, Cochrane Library, China National Knowledge Infrastructure and Wanfang Data were searched for articles published from the dates of establishment of databases to January 2021. A prospective and retrospective cohort studies and a case-control studies of PCT in differential diagnosis of invasive candidiasis were collected. RevMan 5.3 software QUADAS-2 risk assessment tool was used to evaluate the quality of the literature. Meta-Disc 1.4 software was used to determine whether the original data had threshold effect and heterogeneity. Stata 14.0 software was used to analyze meta, judge publication bias and draw Deeks diagram. Results A total of 9 articles and 943 patients were included. There were 259 cases in candida group and 684 cases in control group. The study showed that the total sensitivity was 0.86 [95% confidence interval (CI) (0.80, 0.91)], specificity was 0.78 [95%CI (0.70, 0.84)], positive likelihood ratio was 3.92 [95%CI (2.77, 5.55)], negative likelihood ratio was 0.18 [95%CI (0.12, 0.27)], the area under receiver operator characteristic curve was 0.90 [95%CI (0.87, 0.92)], diagnostic odds ratio was 19.75 [95%CI (10.71, 36.43)]. The results of heterogeneity test showed that there was heterogeneity caused by non-threshold effect between studies. The results of subgroup analysis showed that the heterogeneity I2 value of PCT<2 ng/mL subgroup decreased significantly, and the result was more stable, with sensitivity. The results show that sensitivity was 0.86 [95%CI (0.79, 0.91)], specificity was 0.72 [95%CI (0.63, 0.80)], the area under receiver operator characteristic curve was 0.87 [95%CI (0.83, 0.89)]. Conclusions Serum PCT in the differential diagnosis of invasive candidiasis has certain accuracy and negative predictive value. However, PCT is only an auxiliary test. The differential diagnosis of invasive candidiasis should be combined with clinical features and other diagnostic indexes.
Objective To investigate and analyze the incidence and clinical characteristics of malnutrition in patients with tuberculosis and type 2 diabetes. Methods four hundred patients with tuberculosis and type 2 diabetes were diagnosed in the tuberculosis Department of West China Hospital of Sichuan University from June 1, 2018 to April 30, 2023. The incidence and clinical characteristics of malnutrition were analyzed using the nutritional risk Screening 2002 score and the Global Malnutrition Leadership Initiative criteria. Results 170 patients (42.5%) were malnourished. In malnourished patients, 78 cases (45.9%) had fever, 132 cases (77.6%) had cough, 44 cases (25.9%) had hemoptysis, and 36 cases (21.2%) had night sweating. Compared with the non-malnourished patients, the difference was statistically significant (P<0.05). Lymphocyte count was (1.0±0.5)×109/L, albumin was (31.4±20.5)g/L; CD3 count 792.7±205.0, CD4 count 535.4±15.0, CD8 count 429.5±123.0, CD3%: 65.5%±11.1%, CD4%: 39.1%±9.6%, CD8%: 19.1%±9.6%, CD4/CD8: 1.3±0.2, which were significantly lower than those in the group without malnutrition. Pulmonary cavity occurred in 44 cases (25.9%), lesions in 2 - 4 lung fields in 76 cases (44.7%) and lesions in ≥5 lung fields in 52 cases (30.6%), all of which were significantly higher than those in the non-malnutrition group. The above differences were statistically significant.Conclusion We should pay more attention to the screening of malnutrition in patients with tuberculosis and type 2 diabetes. Patients with malnutrition have more obvious clinical symptoms, lower immunity, and more serious imaging lesions.