Adoption of Wireless Information Medical Data Monitoring Under Zigbee Technology in Bacterial Infection Detection of Patients (Preprint)

UNSTRUCTURED Objective: the research aimed to explore the application of wireless information medical data monitoring based on ZigBee technology in the post-chemotherapy monitoring of blood tumor patients and the diagnostic value of neutrophil CD64 (nCD64) expression level on bacterial infection. Methods: a total of 128 cases of blood tumor patients undergoing chemotherapy in our hospital from October 2016 to October 2018 were selected as the research objects and divided into the bacterial infected group and the uninfected group. The wireless sensor network system based on ZigBee technology was adopted to monitor the physiological indicators of patients, and patients with no fever and long hospitalization time were dynamically monitored. The expression level of nCD64 was determined by flow cytometry. The expressions of nCD64, PCT (procalcitonin), and CRP (C-reactive protein) in each group were compared, and the critical value, sensitivity, and specificity of PCT, CRP, and nCD64 in the diagnosis of bacterial infection were determined according to the Receiver Operating Characteristic Curve (ROC). Results: the nCD64 level of subgroups of neutrophil granulocyte (increase group, normal group, decrease group, lack group) of the infected group was significantly higher than that of the uninfected group (P<0.05); the nCD64 level of dynamic monitoring sites 1 and 3 was significantly higher than that of the control group, the non-infected group, and the dynamic monitoring point 2 (P<0.05); PCT and CRP values of the infected group were significantly higher than those of the non-infected group (P<0.05); the sensitivity and specificity of nCD64 (infected group and dynamic monitoring group) in the diagnosis of bacterial infection were 90.4 and 86.7, 79.6, and 79.6, respectively, which were higher than PCT and CRP. Conclusion: the combination of wireless information medical monitoring and nCD64 based on ZigBee technology can effectively diagnose the bacterial infection of patients with blood tumor after chemotherapy.

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Adoption of Wireless Information Medical Data Monitoring Under Zigbee Technology in Bacterial Infection Detection of Patients (Preprint)

JMIR Medical Informatics ◽

10.2196/18958 ◽

2020 ◽

Author(s):

Maocheng Cao ◽

Junjing Wang ◽

Chunfeng Wu ◽

Burgess Pauls

Keyword(s):

Bacterial Infection ◽

Medical Data ◽

Data Monitoring ◽

Zigbee Technology ◽

Infection Detection

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Serum hsa_tsr016141 as a Kind of tRNA-Derived Fragments Is a Novel Biomarker in Gastric Cancer

Frontiers in Oncology ◽

10.3389/fonc.2021.679366 ◽

2021 ◽

Vol 11 ◽

Author(s):

Xinliang Gu ◽

Shuo Ma ◽

Bo Liang ◽

Shaoqing Ju

Keyword(s):

Gastric Cancer ◽

Sensitivity And Specificity ◽

Small Rnas ◽

Malignant Tumors ◽

Tumor Grade ◽

Expression Level ◽

Dynamic Monitoring ◽

Molecular Characteristics ◽

Diagnostic Efficiency ◽

Healthy Donors

BackgroundGastric cancer (GC) is one of the most common malignant tumors globally and the third leading cause of cancer-related death. Currently, the sensitivity and specificity of diagnostic markers for GC are low, so it is urgent to find new biomarkers with higher sensitivity and specificity. tRNA-derived small RNAs are a kind of small non-coding RNAs derived from tRNAs. It is abundant in cancer cells and body fluids. Our goal is to find the differentially expressed tRNA-derived small RNAs in GC to explore their potential as a GC biomarker.MethodsQuantitative real-time PCR was used to detect the expression level of hsa_tsr016141. The molecular characteristics of hsa_tsr016141 were verified by agarose gel electrophoresis, Sanger sequencing, Actinomycin D Assay, and Nuclear and Cytoplasmic RNA Separation Assay. The diagnostic efficiency of hsa_tsr016141 was analyzed through receiver operating characteristic.ResultsThe expression level of hsa_tsr016141 in GC tissues and serum was significantly increased. The serum expression level showed a gradient change between GC patients, gastritis patients, and healthy donors and was positively correlated with the degree of lymph node metastasis and tumor grade. ROC analysis showed that the serum expression level of hsa_tsr016141 could significantly distinguish GC patients from healthy donors or gastritis patients. Besides, the expression level of hsa_tsr016141 in GC patients decreased significantly after the operation (P<0.0001).ConclusionsSerum hsa_tsr016141 has good stability and specificity and can be used for dynamic monitoring of GC patients, suggesting that serum hsa_tsr016141 can be a novel biomarker for GC diagnosis and postoperative monitoring.

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Plasma lipid profiles discriminate bacterial from viral infection in febrile children

Scientific Reports ◽

10.1038/s41598-019-53721-1 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 3

Author(s):

Xinzhu Wang ◽

◽

Ruud Nijman ◽

Stephane Camuzeaux ◽

Caroline Sands ◽

...

Keyword(s):

Bacterial Infection ◽

Viral Infection ◽

Clinical Signs ◽

Plasma Lipid ◽

Signs And Symptoms ◽

Infected Group ◽

Cholesterol Sulfate ◽

Inappropriate Use ◽

Clinical Signs And Symptoms ◽

Metabolic Biomarkers

AbstractFever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection are often non-specific, and there is no definitive test for the accurate diagnosis of infection. The ‘omics’ approaches to identifying biomarkers from the host-response to bacterial infection are promising. In this study, lipidomic analysis was carried out with plasma samples obtained from febrile children with confirmed bacterial infection (n = 20) and confirmed viral infection (n = 20). We show for the first time that bacterial and viral infection produces distinct profile in the host lipidome. Some species of glycerophosphoinositol, sphingomyelin, lysophosphatidylcholine and cholesterol sulfate were higher in the confirmed virus infected group, while some species of fatty acids, glycerophosphocholine, glycerophosphoserine, lactosylceramide and bilirubin were lower in the confirmed virus infected group when compared with confirmed bacterial infected group. A combination of three lipids achieved an area under the receiver operating characteristic (ROC) curve of 0.911 (95% CI 0.81 to 0.98). This pilot study demonstrates the potential of metabolic biomarkers to assist clinicians in distinguishing bacterial from viral infection in febrile children, to facilitate effective clinical management and to the limit inappropriate use of antibiotics.

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SAT0205 A MORE SPECIFIC INTEGRATED MODEL FOR IDENTIFYING BACTERIAL INFECTION IN SYSTEMIC LUPUS ERYTHEMATOSUS

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.5376 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 1045-1046

Author(s):

M. Feng ◽

X. C. Zhao ◽

J. Luo

Keyword(s):

Systemic Lupus Erythematosus ◽

Bacterial Infection ◽

Disease Activity ◽

Sensitivity And Specificity ◽

Lupus Erythematosus ◽

Roc Curves ◽

Systemic Lupus ◽

Routine Examination ◽

Tnf Α ◽

Ifn Γ

Background:Systemic lupus erythematosus (SLE) is a multisystemic inflammatory disorder [1]. Given that immunosuppressive therapy is adopted as the predominant treatment option for SLE, up to half of SLE patients develop infections during their disease progress, and bacterial infection serves as the leading cause of morbidity and mortality in SLE patients [2]. Owing to the therapeutic regimen to bacterial infection and SLE flare are absolutely opposite, timely diagnosis and correct treatment are of vital importance, and improper treatment strategy may be fatal. No single biomarker, however, has exhibited sufficient sensitivity and specificity to serve as a standard tool for distinguishing bacterial infection from SLE flare.Objectives:To find a method by integrating cytokines, lymphocyte cells and routine examination biomarkers to observe its capacity for identifying bacterially infected SLE patients.Methods:Total 175 SLE patients (65 infected and 110 flare) were recruited into our study. The criteria of bacterial infection was positive isolation of bacteria, typical clinical symptoms and signs, imaging positive results and positive feedback on antibacterial treatment and lupus flare was regarded as three points higher than their previous SLEDAI. The disease activity of SLE patients was evaluated based on Systemic Lupus Erythematosus Disease Activity Index (SLEDAI). Lymphocyte cells (CD3+T, CD4+T, CD8+T, B, NK, Th1, Th2, Th17 and Treg) and cytokines [interleukin-2 (IL-2), IL-4, IL-6, IL-10, tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ) and IL-17] were measured by flow cytometry. Blood routine examination, erythrocyte sedimentation rate (ESR), C-Reactive Protein (CRP) Complement 3 (C3), C4, procalcitonin (PCT), immunoglobulin M (IgM), IgA and IgG were also evaluated. Partial least square discriminant analysis (PLS-DA) and supervised orthogonal PLS-DA (OPLS-DA) were applied to perform multivariate analysis of the data and further group the patients with bacterial infection. Receiver operating characteristic (ROC) curves were also plotted to investigate the ability of individual indicator and the combination of multiple indicators to identify bacterial infection.Results:The PLS-DA model showed a clear identification effect by the performance of R2Y=0.991 and Q2=0.970. The OPLS-DA model (R2Y=0.996 and Q2=0.991) exhibited a better separation of patients with bacterial infection. And the Observed vs. predicted plot of the OPLS-DA model demonstrated that all SLE patients were correctly separated into infected or flare groups, indicating that the model had a strong predictive ability for bacterial infection. For single indicator, infected patients had higher WBC, neutrophil (NEUT), ESR, CRP and PCT (P=0.002, 0.019, 0.002, <0.001, <0.001, respectively), and lower Treg cells (P=0.012). The levels of serum IL-6, IL-10, IFN-γ and TNF-α (P<0.001, =0.022, 0.014, 0.011, respectively) were significantly increased in infected group. ROC curves showed that the combination of the ten indicators showed the largest AUC and the highest accuracy, as well as balanced and relatively high sensitivity and specificity. Furthermore, the AUC of the combination was greatly higher than that of WBC, NEUT, ESR, CRP, PCT, Treg, IL-6, IL-10, IFN-γ and TNF-α (P<0.001).Conclusion:PLS-DA, OPLS-DA models including cytokines, lymphocyte cells and routine biomarkers and combination of WBC, NEUT, ESR, CRP, PCT, Treg, IL-6, IL-10, IFN-γ and TNF-α in ROC curve may be more predictive for finding bacterial infection in SLE and may prompt clinicians more promptly and accurately to help them make correct medication.References:[1]Illescas-Montes R, Corona-Castro CC, Melguizo-Rodríguez L, et al. Infectious processes and systemic lupus erythematosus. Immunology 2019;158:153-160.[2]Furst DE, Breedveld FC, Kalden JR, et al. Updated consensus statement on biological agents for the treatment of rheumatic diseases. Ann Rheum Dis 2002; 61: ii2–7.Disclosure of Interests:None declared

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Procalcitonin as a marker of bacterial infection in children undergoing cardiac surgery with cardiopulmonary bypass

Cardiology in the Young ◽

10.1017/s104795111100014x ◽

2011 ◽

Vol 21 (4) ◽

pp. 392-399 ◽

Cited By ~ 5

Author(s):

Pierre-Emmanuel Séguéla ◽

Nicolas Joram ◽

Bénédicte Romefort ◽

Céline Manteau ◽

Jean-Luc Orsonneau ◽

...

Keyword(s):

Cardiopulmonary Bypass ◽

Bacterial Infection ◽

Receiver Operating Characteristic Curve ◽

Receiver Operating Characteristic ◽

Confidence Intervals ◽

Operating Characteristic ◽

Characteristic Curve ◽

Infected Group ◽

The Third ◽

Operating Characteristic Curve

AbstractBackgroundOwing to systemic inflammatory response syndrome, the diagnosis of post-operative infection after cardiopulmonary bypass is difficult to assess in children with the usual clinical and biological tools. Procalcitonin could be informative in this context.MethodsRetrospective study in a paediatric intensive care unit. Blood samples were collected as soon as infection was clinically suspected and a second assay was performed 24 hours later. Using referenced criteria, children were retrospectively classified into two groups: infected and non-infected.ResultsOut of the 95 children included, 14 were infected. Before the third post-operative day, procalcitonin median concentration was significantly higher in the infected group than in the non-infected group – 20.24 nanograms per millilitre with a 25th and 75th interquartile of 15.52–35.71 versus 0.72 nanograms per millilitre with a 25th and 75th interquartile of 0.28 to 5.44 (p = 0.008). The area under the receiver operating characteristic curve was 0.89 with 95% confidence intervals from 0.80 to 0.97. The best cut-off value to differentiate infected children from healthy children was 13 nanograms per millilitre with 100% sensitivity – 95% confidence intervals from 51 to 100 – and 85% specificity – 95% confidence intervals from 72 to 91. After the third post-operative day, procalcitonin was not significantly higher in infected children – 2 nanograms per millilitre with a 25th and 75th interquartile of 0.18 to 12.42 versus 0.37 nanograms per millilitre with a 25th and 75th interquartile of 0.24 to 1.32 (p = 0.26). The area under the receiver operating characteristic curve was 0.62 with 95% confidence intervals from 0.47 to 0.77. A procalcitonin value of 0.38 nanograms per millilitre provided a sensitivity of 70% with 95% confidence intervals from 39 to 89 for a specificity of 52% with 95% confidence intervals from 34 to 68. After the third post-operative day, a second assay at a 24-hour interval can improve the sensitivity of the test.ConclusionsProcalcitonin seems to be a discriminating marker of bacterial infection during the post-operative days following cardiopulmonary bypass in children.

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Design of Medical Data Monitoring System

2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) ◽

10.1109/iciccs51141.2021.9432373 ◽

2021 ◽

Author(s):

K Nishanth Rao ◽

S V S Prasad ◽

Lavanya E ◽

Sucharitha E

Keyword(s):

Monitoring System ◽

Medical Data ◽

Data Monitoring

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Predictive value of MMP-2, MMP-9, TIMP-1 in surgical treatment of localized renal cell cancer

Research n Practical Medicine Journal ◽

10.17709/2410-1893-2021-8-2-6 ◽

2021 ◽

Vol 8 (2) ◽

pp. 62-74

Author(s):

A. I. Tarasenko ◽

A. N. Rossolovskiy ◽

O. L. Berezinets ◽

D. A. Durnov ◽

E. B. Popyhova ◽

...

Keyword(s):

Surgical Treatment ◽

Blood Serum ◽

Sensitivity And Specificity ◽

Postoperative Period ◽

Radical Nephrectomy ◽

Solid Phase ◽

Cell Cancer ◽

Individual Characteristics ◽

Dynamic Monitoring ◽

Design Bureau

Purpose of the study. To determine the association of individual biomolecular markers of oncogenesis MMP‑2, MMP‑9 and the inhibitor of metalloproteinases TIMP‑1 with the risk of tumor invasion and metastasis in the early and late postoperative period in various types of surgical treatment of RCC.Materials and methods. The study prospectively included medical data of 60 patients with kidney cancer with T1-3N0 M0 who received surgical treatment at the Urology Clinic of the S.R.Mirotvortsev Design Bureau of the SSMU from 2016 to 2019. The patients were divided into 3 groups: 1st group included 20 patients who underwent kidney resection for elective indications, with tumors of the renal parenchyma; 2nd group – 20 patients who underwent radical nephrectomy by laparoscopic approach; Group 3-20 patients who underwent radical nephrectomy with lumbotomy access. All patients being in the early (7-10th day) and long-term postoperative period (after 1 and 2 years) by solid-phase ELISA, on a StatFax 4200 analyzer using eBiosence and Cloud-Clone Corp reagent kits, a study was made on the basis of the concentration in the blood serum of markers of oncogenesis MMP‑2, MMP‑9 and TIMP‑1 metalloproteinase inhibitor.Results. In all groups of patients with RCC, an initial increase in the concentration of MMP‑9 was revealed compared to the control (p≤0.05). According to the results of the ROC analysis, this indicator has a high specificity and sensitivity in terms of predicting RCC at the preoperative stage. The highest sensitivity and specificity for detecting tumor progression was demonstrated by matrix metalloproteinases: MMP‑2 – sensitivity 96 %, specificity 67 % (cut-off point 357.5 pg/ml) and MMP‑9 – sensitivity 87.5 % and specificity 62 % (cut-off point 958 ng/ml). At the same time, TIMP‑1 showed less significant indicators – sensitivity and specificity (74 % and 60 %, respectively) with a cut-off point of 0.49 ng/ml.Conclusion. Serum MMP‑2 and MMP‑9 are a marker of a poor prognosis for the progression of RCC. Elevated levels of MMP‑9 in the blood serum of RCC patients before and after various types of surgical treatment reflect the individual characteristics of the patient’s body and the tumor process. Dynamic monitoring of the level of markers of oncogenesis in patients with RCC allows a personalized approach to the choice of the scope and method of surgical treatment of RCC.

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Mammaglobin in peripheral blood and tumor in breast cancer patients

Biomeditsinskaya Khimiya ◽

10.18097/pbmc20166204453 ◽

2016 ◽

Vol 62 (4) ◽

pp. 453-457

Author(s):

V.K. Bozhenko ◽

N.V. Kharchenko ◽

E.F. Vaskevich ◽

E.A. Kudinova ◽

A.V. Oorzhak ◽

...

Keyword(s):

Breast Cancer ◽

Early Breast Cancer ◽

Sensitivity And Specificity ◽

Peripheral Blood ◽

Expression Level ◽

Breast Cancer Patients ◽

Tissue Samples ◽

Specificity And Sensitivity ◽

Healthy Donors ◽

Maximal Expression

Currently, no molecular biological markers do exist for early diagnosis of breast cancer. One of the possible candidates for the marker of early breast cancer is mammaglobin (MGB1) or SCGB2A2 (secretoglobin, family 2A, member 2), characterized by the maximal expression level in early breast cancer. Using the RT-PCR method MGB1 mRNA expression was examined in 57 tumor tissue samples and 57 samples of morphologically non-malignant tissue (MNT) of breast cancer (BC) patients. Specificity and sensitivity of the MGB1 mRNA assay in peripheral blood of BC patients was evaluated by nested PCR. 169 blood samples (from 95 BC patients, 22 from patients with benign breast tumors, 28 from patients with tumors of other localizations, and 24 samples from healthy donors) have been analyzed. MGB1 expression was significantly higher in BC tissue samples compared to MNT (p=0.0019). The maximal expression level was in the samples T1 (p=0.013), stage I BC (p=0.037), GI (p=0.0019). The MGB1 expression positively correlated with expression of estrogen (p = 0,034) and progesterone (p=0.0004) receptors. Sensitivity and specificity of the MGB1 mRNA assay in peripheral blood were 60.6% and 92.3%, respectively. Expression of MGB1 was higher in BC than MNT and it decreased during BC progression. The sensitivity and specificity of the MGB1 mRNA assay may be used as an additional diagnostic method.

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