Objective To investigate the levels of serum neuregulin-4(NRG4)and serum fatty acid binding protein 4(FABP4)in patients with diabetes retinopathy(DR)and their diagnostic value.Methods From A-pril 2020 to April 2023,a total of 84 DR patients admitted to Endocrine and Metabolic Disease Hospital Affili-ated to Shandong First Medical University were regarded as the observation group.Based on the type of retinal lesions,they were grouped into proliferative lesion group(35 cases)and non proliferative lesion group(49 ca-ses).In addition,84 patients with simple diabetes in the same period were regarded as the NDR group,and 84 healthy people who underwent physical examination in the same period were regarded as the control group.Enzyme linked immunosorbent assay was applied to detect serum levels of NRG4 and FABP4.Multivariate Logistic regression was applied to analyze the influencing factors of DR occurrence.Receiver operating charac-teristic(ROC)curve was applied to analyze the diagnostic value of serum NRG4 and FABP4 levels for DR.Results The levels of C-reactive protein(CRP),fasting plasma glucose(FPG),fasting insulin(FINS)and FABP4 in the observation group were higher than those in the NDR group and the control group(P<0.05),and the serum NRG4 level was lower than those in the NDR group and the control group(P<0.05).The ser-um NRG4 level in the proliferative lesion group was lower than that in the non proliferative lesion group(P<0.05),and the FABP4 level was higher than that in the non proliferative lesion group(P<0.05).NRG4 was a protective factor for the occurrence of DR(P<0.05),while FABP4 was a risk factor for the occurrence of DR(P<0.05).The area under the curve(AUC)of serum NRG4 and FABP4 for diagnosing DR was 0.850 and 0.866,and the AUC of combined diagnosis was 0.930.The efficacy of the combination of the two was su-perior to that of the individual diagnosis of serum NRG4 and FABP4(Zcombination-NRG4=3.467,Zcombination-FABP4=2.987,P=0.001,0.002).Conclusion The serum FABP4 level in DR patients is greatly increased,while the NRG4 level is greatly decreased.The combination of the two has high diagnostic value for DR.

Objective:To explore the current status of back patting and sputum drainage nursing performed by nurses in the Neurological Intensive Care Unit (NICU) and their design requirements for a nursing robot, providing a reference for the design of nursing robots for back patting and sputum drainage.Methods:This descriptive qualitative study employed a purposive sampling method. From January to February 2024, semi-structured interviews were conducted with 15 nurses from the NICU of Xuanwu Hospital, Capital Medical University. Data were analyzed using Colaizzi 7-step analysis method.Results:A total of three major issues were identified regarding the current practice of back patting and sputum drainage nursing by NICU nurses: heavy workload and time-consuming; difficulties in patient positioning and maintenance; deficiencies in nursing care. The design requirements for a back patting and sputum drainage nursing robot were categorized into two main themes with 10 sub-themes: functional requirements (turning function, supporting function, intelligent recognition function, abnormality detection with alarm or pause feature, and evaluation of post-percussion effectiveness) ; design requirements (basic functional design, support component design, percussion component design, coordination between support and percussion functions, and overall structural design) .Conclusions:Understanding the design requirements of NICU nurses for a back patting and sputum drainage nursing robot provides valuable insights for developing a safe, scientific, reasonable, and effective robotic system.

Objective:To explore the current status of back patting and sputum drainage nursing performed by nurses in the Neurological Intensive Care Unit (NICU) and their design requirements for a nursing robot, providing a reference for the design of nursing robots for back patting and sputum drainage.Methods:This descriptive qualitative study employed a purposive sampling method. From January to February 2024, semi-structured interviews were conducted with 15 nurses from the NICU of Xuanwu Hospital, Capital Medical University. Data were analyzed using Colaizzi 7-step analysis method.Results:A total of three major issues were identified regarding the current practice of back patting and sputum drainage nursing by NICU nurses: heavy workload and time-consuming; difficulties in patient positioning and maintenance; deficiencies in nursing care. The design requirements for a back patting and sputum drainage nursing robot were categorized into two main themes with 10 sub-themes: functional requirements (turning function, supporting function, intelligent recognition function, abnormality detection with alarm or pause feature, and evaluation of post-percussion effectiveness) ; design requirements (basic functional design, support component design, percussion component design, coordination between support and percussion functions, and overall structural design) .Conclusions:Understanding the design requirements of NICU nurses for a back patting and sputum drainage nursing robot provides valuable insights for developing a safe, scientific, reasonable, and effective robotic system.

Objectives To explore the trend characteristics of foodborne diseases in Jinan City and apply the seasonal autoregressive integrated moving average model (SARIMA) for prediction. Methods The incidence data of foodborne diseases from two active monitoring sentinel hospitals in Jinan City from 2014 to 2020 were collected to establish a time series. The SARIMA model was used to fit the incidence situation. The numbers of cases in 2021 were compared with the predicted values to validate the model and evaluate the predictive effect. Results The SARIMA (2, 0, 1) (0, 1, 1)₁₂ model was established and fitted the time series of food borne diseases in Jinan well, with AIC=687.22. Using Ljung Box function, P=0.499 was obtained, indicating that the residual error belonged to the white noise series. The data in 2021 was used to test the model extrapolation effect, and the actual values fell within the 95% confidence interval of the predicted value. The model prediction effect was relatively ideal. Conclusion SARIMA (2, 0, 1) (0, 1, 1)₁₂ model can better fit the temporal change of foodborne diseases, and therefore can be used to fit and predict the monthly incidence of foodborne diseases.

OBJECTIVE To explore the effect and safety of dapagliflozin on cardiac function and renal function， blood glucose， and quality of life in patients with heart failure （HF） combined with chronic kidney disease （CKD）. METHODS A total of 156 patients with HF combined with CKD admitted to Shangqiu First People’s Hospital from January 1， 2021 to January 1， 2023 were included. According to the random number table， the patients were randomly divided into conventional treatment group （n＝80） and dapagliflozin group （n＝76）. Conventional treatment group was given conventional treatment； dapagliflozin group was additionally given Dapagliflozin tablets 10 mg orally， once a day， based on conventional treatment group. Both groups were treated for 6 months. Cardiac function [left ventricular ejection fraction （LVEF）， left ventricular end-systolic diameter （LVESD）， left ventricular end-diastolic diameter （LVEDD）， N-terminal pro-brain natriuretic peptide （NT-proBNP）]， renal function [blood creatinine， urea nitrogen， urinary albumin excretion rate （UAER）， glomerular filtration rate （GFR）， creatinine 806731979@qq.com clearance rate （CCR）]， glycosylated hemoglobin， and the quality of life were observed in 2 groups before and after treatment. The occurrence of ADR was recorded. RESULTS After treatment， LVESD， LVEDD， NT-proBNP， blood creatinine， urea nitrogen， UAER in 2 groups as well as the level of glycosylated hemoglobin in dapagliflozin group were significantly lower than before treatment； the dapagliflozin group was significantly lower than the conventional treatment group. LVEF， GFR， CCR and Kansas City Cardiomyopathy Questionnaire score were significantly higher than before treatment， and the dapagliflozin group was significantly higher than the conventional treatment group （P＜0.05）. There was no statistical significance in glycosylated hemoglobin of conventional treatment group before and after treatment （P＞ 0.05）. There was no statistically significant difference in the incidence of dizziness， rash， liver dysfunction， urinary system infection， new dialysis and hypotension between the two groups （P＞0.05）. CONCLUSIONS Dapagliflozin can improve the cardiac function and renal function of patients with HF complicated with CKD， improve patients’ quality of life and lower blood sugar levels without increasing the risk of adverse events.

Objective To explore the correlation between the incidence of foodborne diseases and meteorological factors in Jinan, and to provide targeted measures for the prevention and control of foodborne diseases. Methods Data from the reporting systems of two sentinel hospitals for active surveillance of foodborne diseases from 2013 to 2021 in Jinan were collected. The meteorological data in the same period in Jinan were also collected. The generalized additive model was used to explore the nonlinear relationship between meteorological factors and the incidence of foodborne diseases, and threshold function analysis was use to perform subsection regression. Results The incidence of foodborne diseases was positively correlated with daily average temperature (r_s=0.23), relative humidity (r_s=0.05), and daily average wind speed (r_s=0.01), and negatively correlated with daily average air pressure (r_s=-0.19). Based on the GAM results and segmented regression analysis of meteorological factors, it was found that when the daily average temperature was below or above the threshold of 24.63°C, for every 1°C increase in daily average temperature, the incidence of foodborne diseases correspondingly increased by 0.04% and 0.18%. When the daily average wind speed was above the threshold of 2.26 m/s, the incidence of foodborne diseases decreased by 0.36% for every 1 m/s increase in the daily average wind speed. Conclusion Nine years of observation and data analysis have shown that meteorological factors such as daily average temperature, relative humidity, air pressure, and wind speed are related to the incidence of foodborne diseases. These findings suggest that meteorological factors may be important factors leading to foodborne diseases, which provides an important scientific basis for formulating effective prevention and control measures.

Objective:To investigate the changes of quadriceps femoris thickness with the length of stay in intensive care unit (ICU) in patients with sepsis, and to evaluate the diagnostic value of muscle changes in mortality.Methods:A prospective study was conducted, and 92 patients with sepsis who were admitted to the ICU of the Affiliated Hospital of Jining Medical College from January 2020 to December 2021 were enrolled. The thickness of quadriceps femoris [including the quadriceps femoris muscle thickness at the midpoint of the anterior superior iliac spine and the upper edge of the patella (M-QMLT), and at the middle and lower 1/3 of the patella (T-QMLT)] measured by ultrasound 1 day (D1), 3 days (D3), and 7 days (D7) after admission to the ICU were collected. The atrophy rate of quadriceps femoris was calculated 3 and 7 days after admission to the ICU compared with 1 day [(D3-D1)/D1 and (D7-D1)/D1, (TD3-TD1)/TD1 and (TD7-TD1)/TD1, respectively]. The demographic information, underlying diseases, vital signs when admission to the ICU and in-hospital mortality of all patients were recorded, and the differences of the above indicators between the two groupswere compared. Multivariate Logistic regression was used to analyze the influence of quadriceps femoris muscle thickness and atrophy rate on in-hospital mortality of septic patients. The receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of quadriceps femoris muscle thickness and atrophy rate on in-hospital mortality of septic patients.Results:A total of 92 patients with severe sepsis were included, of which 41 patients died in hospital, 51 patients discharged. The in-hospital mortality was 44.6%. The muscle thickness of quadriceps femoris in severe septic patients decreased with the prolongation of ICU stay, and there was no significant difference between the two groups at the first and third day of ICU admission. The muscle thickness of quadriceps femoris at different measuring positions in the survival group was significantly greater than those in the death group 7 days after admission to the ICU [M-QMLT D7 (cm): 0.50±0.26 vs. 0.39±0.19, T-QMLT D7 (cm): 0.58±0.29 vs. 0.45±0.21, both P < 0.05]. The atrophy rate of quadriceps femoris muscle thickness at different measuring positions 3 and 7 days after admission to ICU in the survival group was significantly lower than those in the death group [(D3-D1)/D1: (8.33±3.44)% vs. (9.74±3.91)%, (D7-D1)/D1: (12.21±4.76)% vs. (19.80±6.15)%, (TD3-TD1)/TD1: (7.83±4.26)% vs. (10.51±4.75)%, (TD7-TD1)/TD1: (11.10±5.46)% vs. (20.22±6.05)%, all P < 0.05]. Multivariate Logistic regression analysis showed that M-QMLT D7, T-QMLT D7, (D3-D1)/D1, (D7-D1)/D1, (TD3-TD1)/TD1, (TD7-TD1)/TD1 were independent risk factors for in-hospital mortality (all P < 0.05). The results were stable after adjusting for confounding factors. ROC curve analysis showed that (TD7-TD1)/TD1 [area under the ROC curve (AUC) was 0.853, 95% confidence interval (95% CI) was 0.773-0.934] was superior to (D7-D1)/D1, T-QMLT D7, M-QMLT D7, (TD3-TD1)/TD1 and (D3-D1)/D1 [AUC was 0.821 (0.725-0.917), 0.692 (0.582-0.802), 0.683 (0.573-0.794), 0.680 (0.569-0.791), 0.622 (0.502-0.742)]. Conclusions:For septic patients in ICU, bedside ultrasound monitoring of quadriceps femoris muscle thickness and atrophy rate has a certain predictive value for in-hospital mortality, and a certain guiding significance in clinical treatment and predicting the prognosis of sepsis.

Objective:To investigate the relationship between the arterial blood lactic acid level after entering the intensive care unit (ICU) and the 28-day mortality of patients with septic shock.Methods:The clinical data of 303 patients with septic shock hospitalized in the department of critical medicine of the Affiliated Hospital of Jining Medical College from April 2015 to June 2019 were analyzed retrospectively. According to the blood lactate (Lac) level, the patients were divided into <4 mmol/L group ( n=203), 4-10 mmol/L group ( n=69) and >10 mmol/L group ( n=31). The baseline characteristics of the patients were analyzed. Multiple logistic regression analysis was used to analyze the independent influencing factors of the 28-day mortality of patients with septic shock. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of the Lac level after entering the ICU for 28-day mortality, and Kaplan-Meier survival curve was performed according to the best cut-off value. Results:A total of 303 patients with septic shock were included, with 179 died in 28 days, and the total mortality was 59.08%. There were 203, 69, 31 patients in Lac<4 mmol/L, 4-10 mmol/L and >10 mmol/L group, respectively. There were significant differences in Acute Physiology and Chronic Health Evalution Ⅱ (APACHE Ⅱ), Sequential Organ Failure Assessment (SOFA), oxygenation index (PaO 2/FiO 2), abdominal infection, the proportion of vasoactive drugs use among the three groups ( P<0.05). Multiple logistic regression analysis showed that the independent influencing factor of the 28-day mortality of septic shock were age, SOFA, use of mechanical ventilation, lactic acid (Lac). ROC curve analysis showed that the area under the ROC curve (AUC) for predicting 28-day mortality of patients with septic shock was 0.604 5 (95% CI: 0.540 8-0.668 2). When the optimal cut-off value was 3.55 mmol/L, the sensitivity was 0.508 4, the specificity was 0.733 9, the positive likelihood ratio was 1.910 3 and the negative likelihood ratio was 0.669 9. According to the best cut-off value of entrance Lac, patients were divided into high Lac group (≥3.55 mmol/L) and low Lac group (<3.55 mmol/L), and their 28-day mortality rates were 73.39%(91/124) and 49.16%(88/179). Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of the high Lac group was significantly lower than that of the low Lac group ( P<0.001). Multiple logistic regression analysis showed that after adjusting for confounding factors, the 28 d mortality increased to 1.22 times for each increase of 1 mmol/L of Lac [odds ratio ( OR)=1.22, 95% confidence interval (95% CI) was 1.08-1.37, P=0.001 4]. The 28 d mortality in high Lac group was 3.53 times higher than that in low Lac group ( OR=3.53, 95% CI was 1.36-7.09, P=0.000 4). Conclusions:In patients with ICU septic shock, the arterial blood Lac level after admission was associated with 28-day mortality. Patients with septic shock whose arterial blood Lac level exceeded 3.55 mmol/L within 1 hour of entering the room had a significantly increased risk of death.

An effective quality control system is the key to ensuring the quality, safety and efficacy of traditional Chinese medicines (TCMs). However, the current quality standard research lacks top-level design and systematic design, mostly based on specific technologies or evaluation methods. To resolve the challenges and questions of quality control of TCMs, a brand-new quality standard system, named "iVarious", was proposed. The system comprises eight elements in a modular format. Meaning of every element was specifically illustrated via corresponding research instances. Furthermore, frankincense study was taken as an example for demonstrating standards and research process, based on the "iVarious" system. This system highlighted a holistic strategy for effectiveness, security, integrity and systematization of quality and safety control standards of TCMs. The establishment of "iVarious" integrates multi-disciplinary technologies and progressive methods, basis elements and key points of standard construction. The system provides a novel idea and technological demonstration for regulation establishment of TCMs quality standards.

An effective quality control system is the key to ensuring the quality, safety and efficacy of traditional Chinese medicines (TCMs). However, the current quality standard research lacks top-level design and systematic design, mostly based on specific technologies or evaluation methods. To resolve the challenges and questions of quality control of TCMs, a brand-new quality standard system, named "iVarious", was proposed. The system comprises eight elements in a modular format. Meaning of every element was specifically illustrated via corresponding research instances. Furthermore, frankincense study was taken as an example for demonstrating standards and research process, based on the "iVarious" system. This system highlighted a holistic strategy for effectiveness, security, integrity and systematization of quality and safety control standards of TCMs. The establishment of "iVarious" integrates multi-disciplinary technologies and progressive methods, basis elements and key points of standard construction. The system provides a novel idea and technological demonstration for regulation establishment of TCMs quality standards.