Objective:To analyze the clinical characteristics of dengue fever patients, summarize the course and characteristics of the disease, and analyze the risk factors that affect the condition.Methods:Retrospective collection of general information, clinical symptoms, medical history, laboratory tests, prognosis and other clinical data of dengue fever patients that admitted to Jinghong First People's Hospital and severe dengue fever patients at People's Hospital of Xishuangbanna Dai Autonomous Prefecture from June to December 2023 was conducted using a case report form (CRF). According to the diagnostic criteria of the World Health Organization (WHO), patients were divided into dengue fever group, dengue fever with warning signs group, and severe dengue fever group. The differences in clinical data between different groups of patients were analyzed and compared. Binary multiple factor Logistic regression analysis was used to explore the risk factors affecting the severity of dengue fever in patients. Receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of prediction models constructed for various risk factors for severe dengue fever. Subgroup analysis was performed on the prognosis of severe dengue fever patients, and the differences in clinical data between two groups of patients with different prognoses were compared. Binary multivariate Logistic regression analysis was used to explore the risk factors affecting the prognosis of severe dengue fever patients. ROC curve was drawn to analyze the predictive value of prediction models constructed for various risk factors on the prognosis of severe dengue fever patients.Results:A total of 2 264 patients were included, including 499 cases in the dengue fever group, 1 379 cases in the dengue fever with warning signs group, and 386 in the severe dengue fever group (43 deaths and 343 survivors). The most common symptom of dengue fever patients was fever (94.70%), followed by muscle soreness (70.54%), headache (63.12%), fatigue (58.92%), and chills (46.02%). Compared with the dengue fever group and the dengue fever with warning signs group, the ratio of thalassemia and the levels of cardiac troponin (cTnI, cTnT), MB isoenzyme of creatine kinase (CK-MB), and myoglobin were significantly increased in patients with severe dengue fever group, albumin (Alb) was significantly decreased in patients with severe dengue fever group. The levels of cTnT and myoglobin in patients with dengue fever with warning signs group were significantly higher than those in the dengue fever group, and the level of Alb in patients with dengue fever with warning signs group was significantly lower than that in the dengue fever group, the differences were statistically significant (all P < 0.05). Binary multivariate Logistic regression analysis showed that thalassemia [odds ratio ( OR) = 6.214, 95% confidence interval (95% CI) was 2.337-16.524, P < 0.001], Alb ≤ 36 g/L ( OR = 6.297, 95% CI was 4.270-9.286, P < 0.001), and cTnT levels ( OR = 1.008, 95% CI was 1.002-1.015, P = 0.016) were risk factors for severe dengue fever. ROC curve analysis showed that the area under the ROC curve (AUC) for predicting severe dengue fever based on the prediction models constructed for the above risk factors was 0.856, with the best predictive value of 0.067, sensitivity of 67.1%, and specificity of 99.4%. In the subgroup analysis of patients with severe dengue fever, compared with the survival group, the levels of hematocrit (HCT), cTnT, and CK-MB in the death group patients were significantly increased, while the level of Alb was significantly decreased, and the differences were statistically significant. Binary multivariate Logistic regression analysis showed that Alb ( OR = 0.839, 95% CI was 0.755-0.932, P = 0.001), HCT ( OR = 1.086, 95% CI was 1.010-1.168, P = 0.025), elevated troponin level ( OR = 10.119, 95% CI was 2.596-39.440, P < 0.001), and CK-MB ( OR = 1.081, 95% CI was 1.032-1.133, P < 0.001) were risk factors for mortality in patients with severe dengue fever. ROC curve analysis showed that the AUC for predicting death in severe dengue fever patients based on the prediction models constructed for the above risk factors was 0.881, with the best predictive value of 0.113, sensitivity of 75.0%, and specificity of 88.9%. Conclusion:Thalassemia, Alb≤36 g/L, and cTnT level are risk factors for severe dengue fever, while HCT level, Alb level, CK-MB level, and elevated troponin level are risk factors for death in patients with severe dengue fever.

Objective:To compare and analyze the clinical characteristics between acute fatty liver of pregnancy (AFLP) and the hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome.Methods:This is a retrospective cohort study. The clinical data of 13 cases with AFLP and 34 cases with HELLP syndrome were collected from three tertiary referral centers in Yunnan (the First Affiliated Hospital of Kunming Medical University, the Second Affiliated Hospital of Kunming Medical University, and Yan'an Hospital of Kunming City) from January 2016 to December 2021. The patients were diagnosed to AFLP and HELLP syndrome according to the Swansea criteria and the Tennessee classification system. The general characteristics, clinical features, laboratory results within 24 hours after admission, complications, maternal and neonatal outcomes were compared to analysis the differences between the two groups.Results:① Maternal characteristics: compared with HELLP syndrome group, AFLP group had lower body mass index (BMI) and blood pressure at admission (both P < 0.01). ②Clinical features: the most common symptoms in AFLP patients were skin jaundice, abdominal pain, nausea and vomiting, edema. The main manifestations of patients with HELLP syndrome were albuminuria, hypertension, edema, headache. Some patients had multiple symptoms concurrently. ③ Laboratory results: compared with HELLP syndrome group, the levels of platelet count (PLT), total bilirubin (TBil), direct bilirubin (DBil), γ-glutamyl transferase (γ-GGT), alkaline phosphatase (ALP), total bile acid (TBA), serum creatinine (SCr) and international standardized ratio (INR) in AFLP group were significantly increased within 24 hours after admission [PLT (×10 9/L): 107.69±51.13 vs.76.71±43.25, TBil (μmol/L): 121.60 (83.20, 170.00) vs.15.25 (7.22, 29.05), DBil (μmol/L): 86.50 (58.60, 104.00) vs. 4.30 (2.22, 10.10), γ-GGT (U/L): 87.00 (37.00, 127.00) vs. 41.00 (19.00, 64.42), ALP (U/L): 199.10 (109.00, 349.20) vs. 125.50 (90.50, 155.25), TBA (μmol/L): 51.50 (16.20, 117.40) vs. 4.15 (2.02, 6.95), SCr (μmol/L): 155.80 (129.00, 237.00) vs. 79.00 (65.43, 113.70), INR: 1.28 (1.17, 1.63) vs. 0.94 (0.88, 1.08), all P < 0.05], prothrombin time (PT) was significantly prolonged [seconds: 16.10 (14.50, 19.20) vs. 12.40 (11.43, 13.40), P < 0.05]. The level of blood glucose (GLU), fibrinogen (FIB) and the activity of antithrombin Ⅲ (ATⅢ) decreased significantly [GLU (mmol/L): 5.18±1.33 vs. 6.33±1.19, FIB (g/L): 1.96±1.46 vs. 3.81±1.58, ATⅢ (%): 40.61±25.84 vs. 66.39±24.11, all P < 0.05]; ④ Complications: compared with HELLP syndrome group, the incidence of patients with hypoglycemia [30.77% (4/13) vs. 0% (0/34)], acute liver failure [53.85% (7/13) vs. 5.88% (2/34)], acute renal insufficiency [69.23% (9/13) vs. 8.82% (3/34)], coagulopathy [76.92% (10/13) vs. 38.24% (13/34)], disseminated intravascular coagulation (DIC) [53.85% (7/13) vs. 5.88% (2/34)], and multiple organ dysfunction syndrome (MODS) [53.85% (7/13) vs. 5.88% (2/34)] were significantly higher in AFLP group (all P < 0.05). ⑤ Maternal and neonatal outcome: all patients delivered after admission. The total length of hospital and intensive care unit stay were significantly longer in the AFLP group than in the HELLP syndrome group [days: 17.00 (11.00, 25.00) vs. 9.00 (7.00, 12.00), 12.00 (4.00, 22.00) vs. 3.91 (0, 7.00), both P < 0.01]. Two AFLP patients died, including one due to intracranial venous thrombosis and one due to multiple organ failure and cardiopulmonary arrest. There were no deaths in the HELLP syndrome group. Conclusions:There are significant differences in maternal characteristics, laboratory results and complications between AFLP and HELLP syndrome. TBil, γ-GGT, SCr, FIB, INR and ATⅢ activity may help to distinguish the two diseases.

Background::Sepsis is a serious disease caused by infection. Aminophylline has anti-asthma and anti-inflammatory effects. We aimed to explore the safety and effect of aminophylline in sepsis.Methods::We conducted a clinical randomized controlled trial involving 100 patients diagnosed with sepsis within 48 h after intensive care unit (ICU) admission in two sites. All patients were randomized in a 1:1 ratio to receive standard therapy with or without aminophylline. The primary clinical outcome was all-cause mortality at 28 days.Results::From September 27, 2018 to February 12, 2020, we screened 277 septic patients and eventually enrolled 100 patients, with 50 assigned to the aminophylline group and 50 to the usual-care group. At 28 days, 7 of 50 patients (14.0%) in the aminophylline group had died, compared with 16 of 50 (32.0%) in the usual-care group ( P = 0.032). Cox regression showed that the aminophylline group had a lower hazard of death (hazard ratio = 0.312, 95% confidence interval: 0.129-0.753). Compared with the usual-care group, patients in the aminophylline group had a longer survival time ( P = 0.039 by the log-rank test). The effects of aminophylline on vasopressor dose, oxygenation index, and sequential organ failure assessment score were time-dependent with treatment. There were no significant differences in total hospitalization days, ICU hospitalization days, and rates of serious adverse events (all P > 0.05). No adverse events were observed in the trial. Conclusions::Aminophylline as an adjunct therapy could significantly reduce the risk of death and prolong the survival time of patients with sepsis.Trial registration::ChiCTR.org.cn, ChiCTR1800019173.

Diagnostics is one of the most important bridge courses for medical students from basic to clinical. Doctor-patient communication runs through the whole process of patient diagnosis and treatment. How to improve medical students' ability of doctor-patient communication? Our teaching team has carried out continuous reform and explored the scientific effective teaching mode. Recently, through the construction of "doctor-patient communication skills" quality online course, efforts have made to build an online and offline blended learning mode, which has gradually realize the integration with diagnostics teaching, and has achieved remarkable results. It also provides a scientific practical basis for the integration of doctor-patient communication and other clinical courses, which is worthy of promotion.

Objective:To analyze the clinical features of adult patients with extremely elevated erythrocyte sedimentation rate (ESR, ESR≥100 mm/1 h), so as improve the ability of clinicians to use erythrocyte sedimentation rate to assist in the diagnosis and treatment of diseases.Methods:A retrospective cohort study was conducted to examine the clinical data of patients with ESR ≥ 100 mm/1 h admitted to the First Affiliated Hospital of Kunming Medical University from January 1st 2019 to December 31st 2019. The age, gender, clinical diagnosis, first ESR level after admission, blood routine, liver function, renal function, coagulation function and C-reactive protein (CRP) within 24 hours after admission were collected. Patient cohorts were divided into youth group (18-65 years old), middle-aged group (66-79 years old) and elderly group (≥80 years old) according to the new standards of human age classification of World Health Organization (WHO) 2019. Patient cohorts were also divided into infectious disease group, hematological disease group, autoimmune disease group, renal failure group and others according to their respective clinical diagnosis. The distribution of extremely elevated ESR in each group, and the correlation between ESR and various laboratory indicators were analyzed.Results:① Among 429 patients with ESR≥ 100 mm/1 h, there were 236 males and 193 females. There was no significant difference in ESR levels between males and females [mm/1 h: 108.00 (103.00, 119.75) vs. 117.00 (105.50, 140.00), P = 0.234]. ② The age of 429 patients ranged from 18 to 98 years old, the average age was (53.70±18.70) years old. There were 310 cases in the youth group, 87 cases in the middle-aged group and 32 cases in the elderly group. The ESR level of the young group was significantly lower than that of the middle-aged group and the elderly group [mm/1 h: 108.00 (103.00, 120.00) vs. 119.00 (107.00, 140.00), 120.00 (110.25, 140.00), both P < 0.01]. ③ The main diagnoses associated with extremely elevated ESR were infectious diseases [157 cases (36.6%)], hematological system diseases [127 cases (29.6%)], autoimmune diseases [74 cases (17.2%)]. Pulmonary infection accounted for 58.0% (91/157) of infectious diseases. Hematopoietic stem cell diseases accounted for 45.7% (58/127), lymphocyte and plasma cell diseases accounted for [37.0% (47/127)] and erythrocyte diseases accounted for [11.0% (14/127)] of the hematological system diseases. Diffuse connective tissue diseases accounted for 75.7% (56/74) of autoimmune diseases. ④ Spearman correlation analysis showed that the extremely elevated ESR in all patients was significantly negatively correlated with the levels of red blood cell count (RBC), hemoglobin (HB) and hematocrit (HCT) (ρvalue was -0.395, -0.381 and -0.383, respectively, all P < 0.01), the ESR was significantly positively correlated with the level of fibrinogen (FIB; ρ= 0.345, P < 0.01). A total of 266 patients were tested for both ESR and CRP, and there was no significantly correlation between ESR and CRP level (ρ= -0.019, P = 0.756). Conclusions:The extremely elevated ESR was more common in pulmonary infections diseases, hematopoietic stem cell diseases, lymphocyte and plasma cell diseases, erythrocyte diseases and diffuse connective tissue diseases. The extremely elevated ESR was significantly correlated with the levels of RBC, HB, HCT and FIB.

Objective:To investigate and evaluate if pulse oxygen saturation/fraction of inhaled oxygen (SpO 2/FiO 2) can be used, as replacement of arterial partial pressure of oxygen/fraction of inhaled oxygen (PaO 2/FiO 2), to assess oxygenation in acute respiratory distress syndrome (ARDS) patients at different high altitudes in Yunnan Province, and to find a rapid and non-invasive method for the diagnosis of ARDS at different altitudes. Methods:Patients with ARDS at different high altitudes in Yunnan Province from January 2019 to December 2020 were enrolled. The patients were divided into three groups according to different altitudes, and received different oxygen therapies according to their respective medical conditions. Group 1 consisted of patients with moderate to severe ARDS from the department of critical care medicine of the First Affiliated Hospital of Kunming Medical University (average altitude approximately 1 800 m), and received mechanical ventilation to maintain SpO 2 of 0.90-0.96 with a low FiO 2 for more than 30 minutes, and SpO 2, FiO 2, PaO 2 were recorded. Group 2 consisted of patients with moderate to severe ARDS at the department of critical care medicine of People's Hospital of Diqing Tibetan Autonomous Prefecture (mean altitude about 3 200 m), and received oxygen with an attached reservoir mask to maintain SpO 2 of 0.90-0.96 for 10 minutes, and then SpO 2, FiO 2, and PaO 2 were recorded. Group 3 consisted of patients with mild to moderate-severe ARDS who admitted to the emergency department of the People's Hospital of Lijiang (average altitude approximately 2 200 m); when SpO 2 < 0.90, patients received oxygen with the oxygen storage mask, and the FiO 2 required to maintain SpO 2 ≥ 0.90 was recorded, and SpO 2, FiO 2, PaO 2 were recorded after oxygen inhalation for 10 minutes. Spearman coefficient was used to analyze the correlation between SpO 2/FiO 2 and PaO 2/FiO 2 in each group. Linear analysis was used to derive the linear equation between SpO 2/FiO 2 and PaO 2/FiO 2, and to evaluate arterial pH, arterial partial pressure of carbon dioxide (PaCO 2), FiO 2, tidal volume (VT), positive end-expiratory pressure (PEEP) and other related factors which would change the correlation between SpO 2/FiO 2 and PaO 2/FiO 2. The receiver operator characteristic curve (ROC curve) was plotted to calculate the sensitivity and specificity of using SpO 2/FiO 2 instead of PaO 2/FiO 2 to assess oxygenation of ARDS patients. Results:Group 1 consisted of 24 ARDS patients from whom 271 blood gas analysis results were collected; group 2 consisted of 14 ARDS patients from whom a total of 47 blood gas analysis results were collected; group 3 consisted of 76 ARDS patients, and a total of 76 blood gas analysis results were collected. The PaO 2/FiO 2 (mmHg, 1 mmHg = 0.133 kPa) in groups 1, 2 and 3 were 103 (79, 130), 168 (98, 195) and 232 (146, 271) respectively, while SpO 2/FiO 2 were 157 (128, 190), 419 (190, 445) and 319 (228, 446) respectively. Among the three groups, patients in group 1 had the lowest PaO 2/FiO 2 and SpO 2/FiO 2, while patients in group 3 had the highest. Spearman correlation analysis showed that PaO 2/FiO 2 was highly correlated with SpO 2/FiO 2 in groups 1, 2 and 3 ( r values were 0.830, 0.951, 0.828, all P < 0.05). Regression equation was fitted according to linear analysis: in group 1 SpO 2/FiO 2 = 58+0.97×PaO 2/FiO 2 ( R2 = 0.548, P < 0.001) ; in group 2 SpO 2/FiO 2 = 6+2.13×PaO 2/FiO 2 ( R2 = 0.938, P < 0.001); in group 3 SpO 2/FiO 2 = 53+1.33×PaO 2/FiO 2 ( R2 = 0.828, P < 0.001). Further analysis revealed that PEEP, FiO 2, and arterial blood pH could affect the correlation between SpO 2/FiO 2 and PaO 2/FiO 2. ROC curve analysis showed that the area under ROC curve (AUC) was 0.848 and 0.916 in group 1 with moderate to severe ARDS; based on the regression equation, the corresponding SpO 2/FiO 2 cut-off values at a PaO 2/FiO 2 of 100 mmHg and 200 mmHg were 155, 252 with a sensitivity of 84.9% and 100%, specificity of 87.2% and 70.6%, respectively. Patients with moderate to severe ARDS in group 2 (AUC was 0.945 and 0.977), the corresponding SpO 2/FiO 2 cut-off values at PaO 2/FiO 2 of 100 mmHg and 200 mmHg were 219 and 432 with the sensitivity of 100% and 85.2%, specificity of 82.5% and 100%, respectively. Patients with mild to moderate-severe ARDS in group 3 (AUC was 0.903 and 0.936), the corresponding SpO 2/FiO 2 cut-off values at a PaO 2/FiO 2 of 200 mmHg and 300 mmHg were 319 and 452 with the sensitivity of 100% and 100%, specificity of 80.9% and 86.2%, respectively. Conclusion:SpO 2/FiO 2 and PaO 2/FiO 2 in ARDS patients at different high altitudes in Yunnan Province have a good correlation, and non-invasive SpO 2/FiO 2 can be used to replace PaO 2/FiO 2 to assess the oxygenation in ARDS patients.

Objective:To explore the feasibility of using pulse oxygen saturation (SpO 2) to evaluate the condition of patients with acute respiratory distress syndrome (ARDS) in the Lijiang region. Methods:Patients with ARDS who visited the department of emergency of People's Hospital of Lijiang from August to December 2020 were selected as study subjects. Patients were divided by severity into mild ARDS group [200 mmHg (1mmHg = 0.133 kPa)≤oxygenation index (PaO 2/FiO 2, P/F)≤300 mmHg] and moderate to severe ARDS group (P/F≤200 mmHg). The general condition, clinical diagnosis, arterial blood gas analysis results of the patients were recorded, and the differences of the above indexes between the two groups of ARDS were compared. Spearman correlation analysis was used to analyze the correlation between SpO 2 and arterial oxygen saturation (SaO 2). SpO 2 was carried into the Ellis equation and the Rice equation to calculate the derived P/F and analyze the correlation between the derived P/F and the P/F measured in arterial blood gas analysis; receiver operator characteristic curve (ROC curves) were plotted, the sensitivity and specificity of SpO 2/fraction of inspiration oxygen (SpO 2/FiO 2, S/F) instead of P/F to assess oxygenation in patients with ARDS was calculated. To evaluate the feasibility of SpO 2 for the condition evaluation of patients with ARDS in the Lijiang region. Results:Compared with the mild ARDS group, the arterial partial pressure of oxygen (PaO 2), SaO 2 and hemoglobin (Hb) were significantly decreased in the moderate to severe ARDS group [PaO 2 (mmHg): 50.5 (39.3, 56.5) vs. 60.0 (55.0, 67.5), SaO 2: 0.86 (0.73, 0.91) vs. 0. 93 (0.90, 0.96), Hb (g/L): 142±27 vs. 156±24, respectively, all P < 0.05]. Correlation analysis revealed a significant positive correlation between SpO 2 and SaO 2 in ARDS patients residing at high altitude ( R = 0.650, P = 0.000). The P/F derived by the Rice formula was significantly and positively correlated with the P/F derived from arterial blood gas analysis ( R = 0.802, P = 0.000). The deduced P/F in mild and moderate to severe ARDS groups were all significantly correlated with the measured P/F ( R values were 0.562, 0.647, both P = 0.000). The P/F derived using the Ellis formula showed a significant positive correlation with the P/F derived from arterial blood gas analysis ( R = 0.822, P = 0.000). The deduced P/F of mild ARDS group and moderate to severe ARDS group were all positively correlated with the measured P/F ( R values were 0.556, 0.589, P values were 0.000, 0.010). There was a significant positive correlation between S/F and P/F in ARDS patients ( R = 0.828, P = 0.000), and the regression equation was S/F = 1.33 P/F+52.41. ROC curve analysis showed that S/F had some predictive value for patients with mild and moderate to severe ARDS, and area under ROC curve (AUC) and 95% confidence interval (95% CI) were 0.903 (0.829-0.977), 0.936 (0.870-1.000), both P = 0.000. When the cut-off value was 452 mmHg, S/F had a sensitivity of 100% and a specificity of 80.9% for predicting mild ARDS. When the cut-off value was 319 mmHg, S/F predicted moderate to severe ARDS with 95.1% sensitivity and 86.2% specificity. Conclusions:At high altitude, SpO 2 and SaO 2 have been correlated in patients with ARDS, and P/F derived using SpO 2 and measured P/F were significantly correlated in patients with ARDS, especially in those with moderate to severe ARDS. SpO 2 may be useful in the assessment of severity of illness in patients with ARDS at high altitude.

Objective:To analyze the clinical feature of adult patients with infection-associated hemophagocytic syndrome (IAHS), and to improve the ability of clinicians to diagnose and treat IAHS.Methods:A retrospectively study was performed. The clinical data of 32 adult patients with IAHS admitted to the intensive care unit (ICU) of the First Affiliated Hospital of Kunming Medical University from July 2014 to November 2019 were analyzed. The general data, clinical manifestations, laboratory results, imaging findings, pathogen and clinical outcomes were collected, and the patients were divided into survival group and death group according to the 28-day prognosis. The clinical data between the two groups were compared, and multivariate Logistic regression analysis was used to analyze the variables with statistical significance in univariate analysis. The receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of variables with statistical significance in univariate analysis for 28-day prognosis of adult patients with IAHS.Results:Among 32 adult patients with IAHS, there were 17 males (53.1%) and 15 females (46.9%). Eighteen patients were bacterial infection, most of which were Acinetobacter baumannii and Escherichia coli; 14 patients were viral infection, mainly EB virus; and the overall 28-day mortality was 62.5% (20/32). ① Compared with the survival group ( n = 12), the levels of white blood cell (WBC), neutrocyte (NEU), lymphocyte (LYM), platelet (PLT) and oxygenation index (OI) in the death group ( n = 20) were lower, while the levels of aspartate aminotransferase (AST), K +, serum ferritin (SF) and lactate dehydrogenase (LDH) were higher [WBC (×10 9/L): 3.90±3.36 vs. 9.57±6.48, NEU (×10 9/L): 2.69±2.09 vs. 7.01±6.34, LYM (×10 9/L): 0.36 (0.23, 0.84) vs. 1.24 (0.61, 2.36), PLT (×10 9/L): 51.15±27.60 vs. 108.42±80.26, OI (mmHg, 1 mmHg = 0.133 kPa): 134.0 (77.5, 192.0) vs. 292.0 (187.0, 329.0), AST (U/L): 254.00 (67.80, 452.50) vs. 85.50 (38.38, 111.25), K + (mmol/L): 4.06 (3.65, 4.51) vs. 3.52 (3.26, 3.76), SF (μg/L): 6 290.0 (1 851.0, 13 904.8) vs. 1 777.1 (1 228.5, 3 486.3), LDH (μmol·s -1·L -1): 19.3 (11.9, 27.0) vs. 9.8 (6.9, 11.1), all P < 0.05]. In death group, duration of having a fever after admission was prolonged [days: 13.5 (9.0, 17.2) vs. 6.0 (2.5, 8.0), P < 0.05] and the incidence of cyanosis was higher (40.0% vs. 0%, P < 0.05). There was no significant difference in other indicators between the two groups. ② Multivariate Logistic regression analysis showed that low OI combined with high LDH were risk factors for 28-day mortality of adult patients with IAHS [odds ratio ( OR) was 0.967 and 1.007, respectively, both P < 0.05].③ It was shown by ROC curve analysis that WBC, NEU, AST, SF, LDH and OI had predictive value for 28-day prognosis of adult patients with IAHS (both P < 0.05), and the area under ROC curve (AUC) of OI and LDH was higher, that was both 0.847. When the best cut-off of OI was 145.5 mmHg, the sensitivity was 63.2%, and the specificity was 100%. When the best cut-off of LDH was 13.4 μmol·s -1·L -1, the sensitivity was 72.2%, and the specificity was 91.7%. Conclusion:OI < 145.5 mmHg, and LDH > 13.4 μmol·s -1·L -1 were significant predictors for poor 28-day prognosis of adult patients with IAHS.

To analyze the clinical characteristics of severe tsutsugamushi disease, and to improve the ability of clinicians to recognize severe cases. Methods The clinical data of patients with tsutsugamushi disease from January 1st, 2017 to December 31st, 2018 in hospitals of Yunnan Province were retrospectively collected by the Case Report Form (CRF). The age, gender, clinical symptoms at admission; white blood cell (WBC), eosinophil count (EO), red blood cell (RBC), platelet count (PLT), hemoglobin (Hb), hematocrit (HCT), albumin (ALB), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBil), lactate dehydrogenase (LDH), blood urea nitrogen (BUN), serum creatinine (SCr), uric acid (UA) on the first day of admission; and clinical outcomes were recorded. The patients were divided into the non-critical group and the critical group according to the diagnostic criteria, the data of clinical manifestation, laboratory examination, imaging examination and prognosis were compared between the two groups. Multivariate Logistic regression analysis was performed on the variables with statistical significance. The receiver operating characteristic (ROC) curve of LDH and UA for differential diagnosis of severe tsutsugamushi disease were drawn. Results From January 1st, 2017 to December 31st, 2018, 408 patients with tsutsugamushi disease were enrolled in 37 hospitals in 15 prefectures and municipalities of Yunnan Province. 385 cases were clinically diagnosed and 23 cases were laboratory diagnosed. There were 265 cases in non-critical group and 143 cases in critical group. A total of 8 cases died and the remaining 400 cases were discharged from hospital. ① Compared with the non-critical group, age of the critical group was older, the incidence of dizziness, cough, expectoration, general soreness, dyspnea, palpitation, abdominal pain, diarrhea, bulbar conjunctival congestion, pleural effusion, peritoneal effusion, pericardial effusion, hepatomegaly, splenomegaly, and the levels of WBC, ALT, AST, LDH, TBil, BUN, SCr, UA were significantly increased, the incidence of lymph node enlargement and the levels of EO, PLT and ALB were significantly decreased, and there was no significant difference in other indicators between the two groups.② Multivariate Logistic regression analysis showed that age, dyspnea, palpitations, LDH, UA, ALB were risk factors for severe tsutsugamushi disease, βvalue was 0.040,-2.147,-1.414, 0.002, 0.005 and-0.132 respectively, and the odds ratio (OR) was 1.041, 0.117, 0.243, 1.002, 1.005 and 0.877 respectively (all P < 0.01). ③ROC curve analysis showed that UA and LDH had better accuracy in differential diagnosis of severe tsutsugamushi disease (both P < 0.01), and the area under ROC curve (AUC) was 0.693 [95% confidence interval (95%CI) = 0.633-0.754], 0.819 (95%CI = 0.776-0.862), respectively. When the cut-off of UA was 306.2 μmol/L, the sensitivity was 60.8%, and the specificity was 77.4%. When the cut-off of LDH was 485.5 U/L, the sensitivity was 74.8%, and the specificity was 74.7%. The diagnostic value of UA combined with LDH was higher, AUC was 0.832, the sensitivity was 69.9%, and the specificity was 85.3%. Conclusion Severe tsutsugamushi disease can be diagnosed at an early stage according to age, respiratory distress, palpitations, hypoalbuminemia, UA >306.2 μmol/L, and LDH > 485.5 U/L.

Objective: To explore the feasibility of difference between hematocrit and albumin (HCT-ALB) to evaluate the severity in patients with severe scrub typhus (Tsutsugamushi disease). Methods: The clinical data of 408 patients with scrub typhus in 37 hospitals located in 15 prefectures of Yunnan Province from January 1st, 2017 to December 31st, 2018 were retrospectively collected. The patients were divided into the non-severe scrub typhus disease group (n = 265) and the severe scrub typhus disease group (n = 143) according to the diagnostic criteria. Volunteers attending Kunming City Medical Center in Yunnan Province for routine physical examination were enrolled as healthy control group (n = 230). HCT, ALB, lactate dehydrogenase (LDH), uric acid (UA), and acute physiology and chronic health evaluationsⅡ(APACHEⅡ) and sequential organ failure assessment (SOFA) within 24 hours after admission were collected. HCT-ALB difference was calculated. Pearson method was used to analyze the correlation between HCT-ALB difference and LDH, UA, APACHEⅡ and SOFA scores in patients with severe scrub typhus disease; the receiver operating characteristic (ROC) curve was used to analyze the value of HCT-ALB difference in the diagnosis of severe scrub typhus disease. Results: ① There was no significant difference in gender composition between patients with non-severe scrub typhus disease group and severe scrub typhus disease group, but the age of the severe scrub typhus disease group was significantly higher than that of the non-severe scrub typhus disease group (years old: 53.57±15.23 vs. 35.03±23.47, P < 0.01). ② Compared with the healthy control group, the HCT, ALB of the non-severe scrub typhus disease group and severe scrub typhus disease group were significantly decreased [HCT: (36.54±6.82)%, (38.13±7.60)% vs. (46.20±4.42)%; ALB (g/L): 35.53±5.87, 26.90±6.10 vs. 47.75±4.28, all P < 0.01], and the HCT-ALB difference was significantly increased (5.28±3.90, 11.26±6.62 vs. 1.55±5.32, both P < 0.01). Compared with the non-severe scrub typhus disease group, the HCT of the severe scrub typhus disease group was significantly increased [(38.13±7.60)% vs. (36.54±6.82)%, P < 0.01], the ALB was significantly decreased (g/L: 26.90±6.10 vs. 35.53±5.87, P < 0.01), and the HCT-ALB difference was significantly increased (11.26±6.62 vs. 5.28±3.90, P < 0.01). ③ Pearson correlation analysis showed that HCT-ALB difference was positively correlated with LDH and UA in patients with severe scrub typhus disease (r values were 0.316 and 0.284, respectively, both P < 0.01), and negatively correlated with APACHEⅡ score and SOFA score (r values were -0.229 and -0.198, respectively, both P < 0.05). ④ ROC curve analysis showed that the area under the curve (AUC) of HCT-ALB difference in the diagnosis of severe scrub typhus disease was 0.786, standard error was 0.024, P = 0.000, and 95% confidence interval (95%CI) was 0.739-0.832. When the best diagnostic value was 8.56, the sensitivity was 81.1%, the specificity was 60.8%, and the Youden index was 0.419. Conclusions HCT-ALB difference is an indicator to evaluate the severe scrub typhus disease. When HCT-ALB difference is above 8.56, it can be used as an indicator to identify severe scrub typhus disease.