Objective: To investigate the scientificity and feasibility of the ten-fold rehydration formula for emergency resuscitation of pediatric patients after extensive burns. Methods: A retrospective observational study was conducted. The total burn area of 30%-100% total body surface area (TBSA) and body weight of 6-50 kg in 433 pediatric patients (250 males and 183 females, aged 3 months to 14 years) with extensive burns who met the inclusion criteria and admitted to the burn departments of 72 Class A tertiary hospitals were collected. The 6 319 pairs of simulated data were constructed after pairing each body weight of 6-50 kg (programmed in steps of 0.5 kg) and each total burn area of 30%-100% TBSA (programmed in steps of 1%TBSA). They were put into three accepted pediatric rehydration formulae, namely the commonly used domestic pediatric rehydration formula for burn patients (hereinafter referred to as the domestic rehydration formula), the Galveston formula, and the Cincinnati formula, and the two rehydration formulae for pediatric emergency, namely the simplified resuscitation formula for emergency care of patients with extensive burns proposed by the World Health Organization's Technical Working Group on Burns (TWGB, hereinafter referred to as the TWGB formula) and the pediatric ten-fold rehydration formula proposed by the author of this article--rehydration rate (mL/h)=body weight (kg) × 10 (mL·kg^-1·h^-1) to calculate the rehydration rate within 8 h post injury (hereinafter referred to as the rehydration rate). The range of the results of the 3 accepted pediatric rehydration formulae ±20% were regarded as the reasonable rehydration rate, and the accuracy rates of rehydration rate calculated using the two pediatric emergency rehydration formulae were compared. Using the maximum burn areas (55% and 85% TBSA) corresponding to the reasonable rehydration rate calculated by the pediatric ten-fold rehydration formula at the body weight of 6 and 50 kg respectively, the total burn area of 30% to 100% TBSA was divided into 3 segments and the accuracy rates of the rehydration rate calculated using the 2 pediatric emergency rehydration formulae in each segment were compared. When neither of the rehydration rates calculated by the 2 pediatric emergency rehydration formulae was reasonable, the differences between the two rehydration rates were compared. The distribution of 433 pediatric patients in the 3 previous total burn area segments was counted and the accuracy rates of the rehydration rate calculated using the 2 pediatric emergency rehydration formulae were calculated and compared. Data were statistically analyzed with McNemar test. Results: Substitution of 6 319 pairs of simulated data showed that the accuracy rates of the rehydration rates calculated by the pediatric ten-fold rehydration formula was 73.92% (4 671/6 319), which was significantly higher than 4.02% (254/6 319) of the TWGB formula (χ²=6 490.88,P<0.05). When the total burn area was 30%-55% and 56%-85% TBSA, the accuracy rates of the rehydration rates calculated by the pediatric ten-fold rehydration formula were 100% (2 314/2 314) and 88.28% (2 357/2 670), respectively, which were significantly higher than 10.98% (254/2 314) and 0 (0/2 670) of the TWGB formula (with χ² values of 3 712.49 and 4 227.97, respectively, P<0.05); when the total burn area was 86%-100% TBSA, the accuracy rates of the rehydration rates calculated by the pediatric ten-fold rehydration formula and the TWGB formula were 0 (0/1 335). When the rehydration rates calculated by the 2 pediatric emergency rehydration formulae were unreasonable, the rehydration rates calculated by the pediatric ten-fold rehydration formula were all higher than those of the TWGB formula. There were 93.07% (403/433), 5.77% (25/433), and 1.15% (5/433) patients in the 433 pediatric patients had total burn area of 30%-55%, 56%-85%, and 86%-100% TBSA, respectively, and the accuracy rate of the rehydration rate calculated using the pediatric ten-fold rehydration formula was 97.69% (423/433), which was significantly higher than 0 (0/433) of the TWGB formula (χ²=826.90, P<0.05). Conclusions: The application of the pediatric ten-fold rehydration formula to estimate the rehydration rate of pediatric patients after extensive burns is more accurate and convenient, superior to the TWGB formula, suitable for application by front-line healthcare workers that are not specialized in burns in pre-admission rescue of pediatric patients with extensive burns, and is worthy of promotion.
Male ; Female ; Humans ; Child ; Burns/therapy* ; Hospitalization ; Resuscitation ; Fluid Therapy/methods* ; Body Surface Area ; Retrospective Studies

OBJECTIVE: To observe the correlation between the four limbs perfusion index (PI) and blood lactic acid in patients with neurosis, and evaluate the predictive value of PI on microcirculation perfusion metabolic disorder in patients with neurosis. METHODS: A prospective observational study was conducted. Adult patients admitted to the department of neurological intensive care unit (NICU) of the First Affiliated Hospital of Xinjiang Medical University from July 1 to August 20 in 2020 were enrolled. Under the condition of indoor temperature controlled at 25 centigrade, all patients were placed in the supine position, and the blood pressure, heart rate, PI of both fingers and thumb toes and arterial blood lactic acid were measured within 24 hours and 24-48 hours after NICU. The difference of four limbs PI at different time periods and its correlation with lactic acid were compared. Receiver operator characteristic curve (ROC curve) was used to evaluate the predictive value of four limbs PI on patients with microcirculatory perfusion metabolic disorder. RESULTS: A total of 44 patients with neurosis were enrolled, including 28 males and 16 females; average age (61.2±16.5) years old. There were no significant differences in PI of the left index finger and the right index finger [2.57 (1.44, 4.79) vs. 2.70 (1.25, 5.33)], PI of the left toe and the right toe [2.09 (0.85, 4.76) vs. 1.88 (0.74, 4.32)] within 24 hours after entering the NICU, and the PI of the left index finger and the right index finger [3.17 (1.49, 5.07) vs. 3.14 (1.33, 5.36)], PI of the left toe and the right toe [2.07 (0.75, 5.20) vs. 2.07 (0.68, 4.67)] at 24-48 hours after NICU admission (all P > 0.05). However, compared to the PI of the upper and lower limbs on the same side, except for the 24-48 hours after ICU of the PI difference between the left index finger and the left toe (P > 0.05), the PI of the toe was lower than that of the index finger at the other time periods (all P < 0.05). The correlation analysis showed that the PI value of four limbs of patients in both time periods were significantly negatively correlated with arterial blood lactic acid (the r values of the left index finger, the right index finger, the left toe and the right toe were -0.549, -0.482, -0.392 and -0.343 respectively within 24 hours after entering the NICU; the r values of the left index finger, the right index finger, the left toe and the right toe were -0.331, -0.292, -0.402 and -0.442 respectively after entering the NICU 24-48 hours, all P < 0.05). Taking lactic acid ≥ 2 mmol/L as the diagnostic standard for metabolic disorder of microcirculation perfusion (total 27 times, accounting for 30.7%). The efficacy of four limbs PI in predicting microcirculation perfusion metabolic disorder were compared. ROC curve analysis showed that the area under the curve (AUC) and 95% confidence interval (95%CI) of left index finger, right index finger, left toe and right toe predicting microcirculation perfusion metabolic disorder were 0.729 (0.609-0.850), 0.767 (0.662-0.871), 0.722 (0.609-0.835), 0.718 (0.593-0.842), respectively. There was no significant difference in AUC compare with each other (all P > 0.05). The cut-off value of PI of right index finger for predicting microcirculation perfusion metabolic disorder was 2.46, the sensitivity was 70.4%, the specificity was 75.4%, the positive likelihood ratio was 2.86, and the negative likelihood ratio was 0.30. CONCLUSIONS There are no significant differences in PI of bilateral index fingers, bilateral toes in patients with neurosis. However, unilateral upper and lower limbs showed lower PI in the toe than in the index finger. There is a significantly negatively correlation between PI and arterial blood lactic acid in all four limbs. PI can predict the metabolic disorder of microcirculation perfusion, and its cut-off value is 2.46.
Adult ; Female ; Male ; Humans ; Middle Aged ; Aged ; Lactic Acid ; Microcirculation ; Perfusion Index ; Lower Extremity ; Area Under Curve ; Nervous System Diseases

Objective: To investigate the misdiagnosis of area postrema syndrome (APS) manifesting as intractable nausea, vomiting and hiccups in neuromyelitis optic spectrum disease (NMOSD) and reduce the risk of misdiagnosis. Methods: We retrospectively analyzed data from NMOSD patients attending the Department of Neurology at the First Medical Center of PLA General Hospital between January 2019 and July 2021. SPSS25.0 was then used to analyze the manifestations, misdiagnosis, and mistreatment of APS. Results: A total of 207 patients with NMOSD were included, including 21 males and 186 females. The mean age of onset was 39±15 years (range: 5-72 years). The proportion of patients who were positive for serum aquaporin 4 antibody was 82.6% (171/207). In total, 35.7% (74/207) of the NMOSD patients experienced APS during the disease course; of these patients, 70.3% (52/74) had APS as the first symptom and 29.7% (22/74) had APS as a secondary symptom. The misdiagnosis rates for these conditions were 90.4% (47/52) and 50.0% (11/22), respectively. As the first symptom, 19.2% (10/52) of patients during APS presented only with intractable nausea, vomiting and hiccups; 80.8% (42/52) of patients experienced other neurological symptoms. The Departments of Gastroenterology and General Medicine were the departments that most frequently made the first diagnosis of APS, accounting for 54.1% and 17.6% of patients, respectively. The most common misdiagnoses related to diseases of the digestive system and the median duration of misdiagnosis was 37 days. Conclusions: APS is a common symptom of NMOSD and is associated with a high rate of misdiagnosis. Other concomitant symptoms often occur with APS. Gaining an increased awareness of this disease/syndrome, obtaining a detailed patient history, and performing physical examinations are essential if we are to reduce and avoid misdiagnosis.
Male ; Female ; Humans ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Neuromyelitis Optica/diagnosis* ; Area Postrema ; Retrospective Studies ; Hiccup/complications* ; Vomiting/etiology* ; Nausea/etiology* ; Inflammation ; Syndrome ; Autoantibodies ; Diagnostic Errors ; Aquaporin 4

OBJECTIVE: To develop a noninvasive method for prediction of 1p/19q codeletion in diffuse lower-grade glioma (DLGG) based on multimodal magnetic resonance imaging (MRI) radiomics. METHODS: We collected MRI data from 104 patients with pathologically confirmed DLGG between October, 2015 and September, 2022. A total of 535 radiomics features were extracted from T₂WI, T₁WI, FLAIR, CE-T₁WI and DWI, including 70 morphological features, 90 first order features, and 375 texture features. We constructed logistic regression (LR), logistic regression least absolute shrinkage and selection operator (LRlasso), support vector machine (SVM) and Linear Discriminant Analysis (LDA) radiomics models and compared their predictive performance after 10-fold cross validation. The MRI images were reviewed by two radiologists independently for predicting the 1p/19q status. Receiver operating characteristic curves were used to evaluate classification performance of the radiomics models and the radiologists. RESULTS: The 4 radiomics models (LR, LRlasso, SVM and LDA) achieved similar area under the curve (AUC) in the validation dataset (0.833, 0.819, 0.824 and 0.819, respectively; P>0.1), and their predictive performance was all superior to that of resident physicians of radiology (AUC=0.645, P=0.011, 0.022, 0.016, 0.030, respectively) and similar to that of attending physicians of radiology (AUC=0.838, P>0.05). CONCLUSION Multiparametric MRI radiomics models show good performance for noninvasive prediction of 1p/19q codeletion status in patients with in diffuse lower-grade glioma.
Humans ; Magnetic Resonance Imaging ; Chromosome Aberrations ; Area Under Curve ; Glioma/genetics* ; ROC Curve

OBJECTIVE: Exosomal long noncoding RNAs (lncRNAs) are the key to diagnosing and treating various diseases. This study aimed to investigate the diagnostic value of plasma exosomal lncRNAs in white matter hyperintensities (WMH). METHODS: We used high-throughput sequencing to determine the differential expression (DE) profiles of lncRNAs in plasma exosomes from WMH patients and controls. The sequencing results were verified in a validation cohort using qRT-PCR. The diagnostic potential of candidate exosomal lncRNAs was proven by binary logistic analysis and receiver operating characteristic (ROC) curves. The diagnostic value of DE exo-lncRNAs was determined by the area under the curve (AUC). The WMH group was then divided into subgroups according to the Fazekas scale and white matter lesion site, and the correlation of DE exo-lncRNAs in the subgroup was evaluated. RESULTS: In our results, four DE exo-lncRNAs were identified, and ROC curve analysis revealed that exo-lnc_011797 and exo-lnc_004326 exhibited diagnostic efficacy for WMH. Furthermore, WMH subgroup analysis showed exo-lnc_011797 expression was significantly increased in Fazekas 3 patients and was significantly elevated in patients with paraventricular matter hyperintensities. CONCLUSION Plasma exosomal lncRNAs have potential diagnostic value in WMH. Moreover, exo-lnc_011797 is considered to be a predictor of the severity and location of WMH.
Humans ; RNA, Long Noncoding/genetics* ; White Matter ; Area Under Curve ; Exosomes/genetics* ; High-Throughput Nucleotide Sequencing

It is a significant challenge to improve the blood-brain barrier (BBB) permeability of central nervous system (CNS) drugs in their development. Compared with traditional pharmacokinetic property tests, machine learning techniques have been proven to effectively and cost-effectively predict the BBB permeability of CNS drugs. In this study, we introduce a high-performance BBB permeability prediction model named balanced-stacking-learning based BBB permeability predictor(BSL-B3PP). Firstly, we screen out the feature set that has a strong influence on BBB permeability from the perspective of medicinal chemistry background and machine learning respectively, and summarize the BBB positive(BBB+) quantification intervals. Then, a combination of resampling algorithms and stacking learning(SL) algorithm is used for predicting the BBB permeability of CNS drugs. The BSL-B3PP model is constructed based on a large-scale BBB database (B3DB). Experimental validation shows an area under curve (AUC) of 97.8% and a Matthews correlation coefficient (MCC) of 85.5%. This model demonstrates promising BBB permeability prediction capability, particularly for drugs that cannot penetrate the BBB, which helps reduce CNS drug development costs and accelerate the CNS drug development process.
Blood-Brain Barrier ; Algorithms ; Area Under Curve ; Databases, Factual ; Permeability

Objective: To explore the epidemiological characteristics and treatment outcomes of patients with hydrofluoric acid burns in hands. Methods: A retrospective observational study was conducted. The medical records of 229 patients with hydrofluoric acid burns in hands who were admitted to Zhejiang Quhua Hospital from January 2008 to December 2020 and met the inclusion criteria were collected. The following statistical data of patients were collected, including gender, age, type of affiliated enterprise, hydrofluoric acid mass fraction, injury site, total burn area, prehospital time, length of hospital stay, length of wound healing, whether hypocalcemia and hypomagnesemia occurred or not on admission, whether surgery intervention was performed or not, and whether scar sequelae occurred or not. Single factor and multivariate logistic regression analysis were used to screen out the risk factors impacting surgery intervention and scar sequelae of all the patients and patients whose hydrofluoric acid mass fraction was known. Single factor and multivariate linear regression analysis were used to screen out the risk factors impacting the length of wound healing of all the patients and patients whose hydrofluoric acid mass fraction was known. Results: The 229 patients included 206 males and 23 females, with the majority aged 30 to 50 years (139 patients). The type of affiliated enterprise of majority patients was non-fluorine chemical enterprise. The hydrofluoric acid mass fraction was known in only 91 patients, mainly medium. The majority injury site was in the middle and end of finger. The total burn area was below or equal to 1% total body surface area. The prehospital time was 19 (9, 29) h. The length of hospital stay was 2 (1, 7) d. The length of wound healing was 12 (8, 18) d. The proportions of hypocalcemia and hypomagnesemia were 0.9% (2/229) and 1.3% (3/229) on admission, respectively. Thirty-six patients had surgeries and 83 patients had scar sequelae. In 229 patients, single factor logistic regression analysis showed that both type of affiliated enterprise and prehospital time were the factors impacting surgery intervention (with odds ratio values of 7.86 and 51.35, respectively, 95% confidence intervals of 1.83-33.76 and 11.89-221.78, respectively, P<0.01) and scar sequelae of patients (with odds ratio values of 3.62 and 27.40, respectively, 95% confidence intervals of 1.76-7.43 and 13.25-56.68, respectively, P<0.01); multivariate logistic regression analysis showed that prehospital time was the independent risks factor impacting surgery intervention and scar sequelae of patients (with odds ratio values of 43.00 and 24.55, respectively, 95% confidence intervals of 9.89-187.03 and 11.78-51.16, respectively, P<0.01); single factor linear regression analysis showed that both type of affiliated enterprise and prehospital time were the factors impacting the length of wound healing of patients (with β values of 6.16 and 12.83, respectively, 95% confidence intervals of 3.38-8.93 and 10.72-14.93, respectively, P<0.01); multivariate linear regression analysis showed that both type of affiliated enterprise and prehospital time were the independent risk factors impacting the length of wound healing of patients (with β values of 2.81 and 12.16, respectively, 95% confidence intervals of 0.50-5.13 and 10.00-14.31, respectively, P<0.05 or P<0.01). In 91 patients whose hydrofluoric acid mass fraction was known, single factor logistic regression analysis showed that type of affiliated enterprise, hydrofluoric acid mass fraction (low and high), and prehospital time were all the factors impacting surgery intervention of patients (with odds ratio values of 9.10, 11.25, 10.69, and 0.04, respectively, 95% confidence intervals of 1.15-72.25, 1.39-90.93, 1.32-86.59, and 0.01-0.19, respectively, P<0.05 or P<0.01), type of affiliated enterprise, hydrofluoric acid mass fraction, and prehospital time were all the factors impacting scar sequelae of patients (with odds ratio values of 0.32, 0.21, and 36.80, respectively, 95% confidence intervals of 0.11-0.92, 0.06-0.73, and 11.03-122.79, respectively, P<0.05 or P<0.01); multivariate logistic regression analysis showed that both hydrofluoric acid mass fraction and prehospital time were the independent risk factors impacting surgery intervention of patients (with odds ratio values of 11.51 and 0.04, respectively, 95% confidence intervals of 1.22-108.26 and 0.01-0.25, respectively, P<0.05 or P<0.01), prehospital time was the independent risk factor impacting scar sequelae of patients (odds ratio=37.71, with 95% confidence interval of 9.97-142.69, P<0.01); single factor linear regression analysis showed that type of affiliated enterprise, hydrofluoric acid mass fraction (low and high), and prehospital time were all the factors impacting the length of wound healing of patients (with β values of 7.12, -5.63, -9.74, and 13.50, respectively, 95% confidence intervals of 2.43-11.81, -10.59--0.68, -14.78--4.70, and 10.14-16.86, respectively, P<0.05 or P<0.01); multivariate linear regression analysis showed that both hydrofluoric acid mass fraction and prehospital time were the independent risk factors impacting the length of wound healing of patients (with β values of -5.84 and 0.09, respectively, 95% confidence intervals of -10.59--1.08 and 0.05-0.12, respectively, P<0.05 or P<0.01). Conclusions: The majority of patients with hydrofluoric acid burns in hands are young and middle-aged males. Type of affiliated enterprise, hydrofluoric acid mass fraction and prehospital time are the risk factors that affect the treatment outcomes of patients with hydrofluoric acid burns in hands.
Adult ; Body Surface Area ; Burns ; Female ; Humans ; Hydrofluoric Acid/adverse effects* ; Length of Stay ; Male ; Middle Aged ; Retrospective Studies ; Treatment Outcome

Objective: To explore the scientificity and feasibility of the tenfold rehydration formula for emergency resuscitation of adult patients after extensive burns. Methods: A retrospective observational study was conducted. The total burn area (30%-100% total body surface area (TBSA)) and body weight (45-135 kg) of 170 adult patients (135 males and 35 females, aged (42±14) years) with extensive burns admitted to the Fourth Medical Center of PLA General Hospital from December 2016 to December 2019 were collected. The 6 461 pairs of simulated data obtained after pairing each body weight in 45 to 135 kg (programmed in steps of 1 kg) with each area in 30% to 100% TBSA (programmed in steps of 1%TBSA) were plugged into four recognized rehydration formulas--Parkland's formula, Brooke's formula, the 304th PLA Hospital formula, and the Third Military Medical University formula and two emergency rehydration formulas--the simplified first aid resuscitation plan for extensive burn patients proposed by the World Health Organization's Technical Working Group on Burns (TWGB, hereinafter referred to as the TWGB formula) and the tenfold rehydration formula proposed by the author of this article to calculate the rehydration rate within 8 hours after injury (hereinafter referred to as the rehydration rate), with results being displayed by a programming step of 10%TBSA for the total burn area. Taking the calculation results of four recognized rehydration formulas as the reasonable rehydration rate, the accuracy of rehydration rates calculated by two emergency rehydration formulas were calculated and compared. The body weight of 45-135 kg was divided into three segments by the results of maximum body weight at a reasonable rehydration rate calculated by the tenfold rehydration formula when the total burn area was 30% and 100% TBSA, respectively. The accuracy of rehydration rate calculated by two emergency rehydration formulas in each body weight segment was compared. When the rehydration rates calculated by two emergency rehydration formulas were unreasonable, the differences in rehydration rates between the two were compared. Statistical distribution of the aforementioned three body weight segments in the aforementioned 170 patients was counted. Using the total burn area and body weight data of the aforementioned 170 patients, the accuracy of rehydration rate calculated by two emergency rehydration formulas was calculated and compared as before. Data were statistically analyzed with McNemar test. Results: When the total burn area was 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100% TBSA, respectively, and the body weight was 45-135 kg, the rehydration rates calculated by two emergency rehydration formulas did not exceed the maximum of the calculated results of four recognized rehydration formulas; the rehydration rate calculated by the TWGB formula did not change accordingly with total burn area, while the rehydration rate calculated by the tenfold rehydration formula did not change accordingly with body weight. Substituting 6 461 pairs of simulated data showed that the accuracy of rehydration rate calculated by the tenfold rehydration formula was 43.09% (2 784/6 461), which was significantly higher than 2.07% (134/6 461) of the TWGB formula, χ²=2 404.80, P<0.01. When the body weights were 45-62 kg and 63-93 kg, the accuracy rates of rehydration rate calculated by the tenfold rehydration formula were 100% (1 278/1 278) and 68.42% (1 506/2 201), respectively, which were significantly higher than 0 (0/1 278) and 0.05% (1/2 201) of the TWGB formula, χ²=1 276.00, 1 501.01, P<0.01; when the body weight was 94-135 kg, the accuracy rate of rehydration rate calculated by the tenfold rehydration formula was 0 (0/2 982), which was significantly lower than 4.46% (133/2 982) of the TWGB formula, χ²=131.01, P<0.01. When the rehydration rates calculated by two emergency rehydration formulas were both unreasonable, the rehydration rate calculated by the tenfold rehydration formula was greater than that calculated by the TWGB formula in most cases, accounting for 79.3% (2 808/3 543). Among the 170 patients, the proportions of those weighing 45-62, 63-93, and 94-135 kg were 25.29% (43/170), 65.88% (112/170), and 8.82% (15/170), respectively. Among the 170 patients, the accuracy rate of rehydration rate calculated by the tenfold rehydration formula was 69.41% (118/170), which was significantly higher than 3.53% (6/170) of the TWGB formula, χ²=99.36, P<0.01. Conclusions: Applying the tenfold rehydration formula to calculate the emergency rehydration rate in adults after extensive burns is simpler than four recognized rehydration formulas, and is superior to the TWGB formula. The tenfold rehydration formula is suitable for the front-line medical staffs that are not specialized in burns in pre-admission rescue of adult patients with extensive burns, which is worth popularizing.
Adult ; Body Surface Area ; Burns/therapy* ; Female ; Fluid Therapy/methods* ; Humans ; Male ; Middle Aged ; Resuscitation/methods* ; Retrospective Studies

BACKGROUND: Since the diagnostic value of aldosterone to renin ratio (ARR) calculated by plasma renin concentration (PRC) or plasma renin activity (PRA) is still inconclusive, we conducted a meta-analysis by systematically reviewing relevant literature to explore the difference in the diagnostic efficacy of ARR calculated by PRC or PRA, so as to provide guidance for clinical diagnosis. METHODS: We searched PubMed, Embase, and Cochrane Library from the establishment of the database to March 2021. We included studies that report the true positive, false positive, true negative, and false negative values for the diagnosis of primary aldosteronism, and we excluded duplicate publications, research without full text, incomplete information, or inability to conduct data extraction, animal experiments, reviews, and systematic reviews. STATA 15.1 was used to analyze the data. RESULTS: The pooled results showed that ARR (plasma aldosterone concentration [PAC]/PRC) had a sensitivity of 0.82 (95% confidence interval [CI]: 0.78-0.86), a specificity of 0.94 (95% CI: 0.92-0.95), a positive-likelihood ratio (LR) of 12.77 (95% CI: 7.04-23.73), a negative LR of 0.11 (95% CI: 0.07-0.17), and symmetric area under the curve (SAUC) of 0.982, respectively. Furthermore, the diagnostic odds ratio (DOR) of ARR (PAC/PRC) was 180.21. Additionally, the pooled results showed that ARR (PAC/PRA) had a sensitivity of 0.91 (95% CI: 0.86-0.95), a specificity of 0.91 (95% CI: 0.90-0.93), a positive LR of 7.30 (95% CI: 2.99-17.99), a negative LR of 0.10 (95% CI: 0.04-0.26), and SAUC of 0.976, respectively. The DOR of ARR (PAC/PRA) was 155.52. Additionally, we conducted a subgroup analysis for the different thresholds (<35 or ≥35) of PAC/PRC. The results showed that the DOR of the cut-off ≥35 groups was higher than the cut-off <35 groups (DOR = 340.15, 95% CI: 38.32-3019.66; DOR = 116.40, 95% CI = 23.28-581.92). CONCLUSIONS The research results suggest that the determination of ARR (PAC/PRC) and ARR (PAC/PRA) was all effective screening tools for PA. The diagnostic accuracy and diagnostic value of ARR (PAC/PRC) are higher than ARR (PAC/PRA). In addition, within a certain range, the higher the threshold, the better the diagnostic value.
Aldosterone ; Area Under Curve ; Humans ; Hyperaldosteronism/diagnosis* ; Hypertension ; Renin

The goal of this study was to investigate the clinical application of free/total prostate-specific antigen (F/T PSA) ratio, considering the new broad serum total PSA (T-PSA) "gray zone" of 2.0-25.0 ng ml^-1 in differential diagnosis of prostate cancer (PCa) and benign prostate diseases (BPD) in men over 50 years in Western China. A total of 1655 patients were included, 528 with PCa and 1127 with BPD. Serum T-PSA, free PSA (F-PSA), and F/T PSA ratio were analyzed. Receiver operating characteristic curves were used to assess the efficiency of PSA and F/T PSA ratio. There were 47.4% of cancer patients with T-PSA of 2.0-25.0 ng ml^-1. When T-PSA was 2.0-4.0 ng ml^-1, 4.0-10.0 ng ml^-1, and 10.0-25.0 ng ml^-1, the area under the curve (AUC) of F/T PSA ratio was 0.749, 0.769, and 0.761, respectively. The best AUC of F/T PSA ratio was 0.811 when T-PSA was 2.0-25.0 ng ml^-1, with a specificity of 0.732, a sensitivity of 0.788, and an optimal cutoff value of 15.5%. The AUC of F/T PSA ratio in different age groups (50-59 years, 60-69 years, 70-79 years, and ≥80 years) was 0.767, 0.806, 0.815, and 0.833, respectively, and the best sensitivity (0.857) and specificity (0.802) were observed in patients over 80 years. The T-PSA trend was in accordance with the Gleason score, tumor node metastasis (TNM) stage, and American Joint Committee on Cancer prognosis group. Therefore, the F/T PSA ratio can facilitate the differential diagnosis of PCa and BPD in the broad T-PSA "gray zone". Serum T-PSA can be a Gleason score and prognostic indicator.
Area Under Curve ; Humans ; Male ; Middle Aged ; Prostate-Specific Antigen ; Prostatic Neoplasms/pathology* ; ROC Curve ; Sensitivity and Specificity