A radiomics-based brain network in T1 images: construction, attributes, and applications.

T1 image is a widely collected imaging sequence in various neuroimaging datasets, but it is rarely used to construct an individual-level brain network. In this study, a novel individualized radiomics-based structural similarity network was proposed from T1 images. In detail, it used voxel-based morphometry to obtain the preprocessed gray matter images, and radiomic features were then extracted on each region of interest in Brainnetome atlas, and an individualized radiomics-based structural similarity network was finally built using the correlational values of radiomic features between any pair of regions of interest. After that, the network characteristics of individualized radiomics-based structural similarity network were assessed, including graph theory attributes, test-retest reliability, and individual identification ability (fingerprinting). At last, two representative applications for individualized radiomics-based structural similarity network, namely mild cognitive impairment subtype discrimination and fluid intelligence prediction, were exemplified and compared with some other networks on large open-source datasets. The results revealed that the individualized radiomics-based structural similarity network displays remarkable network characteristics and exhibits advantageous performances in mild cognitive impairment subtype discrimination and fluid intelligence prediction. In summary, the individualized radiomics-based structural similarity network provides a distinctive, reliable, and informative individualized structural brain network, which can be combined with other networks such as resting-state functional connectivity for various phenotypic and clinical applications.

Remnant cholesterol and the risk of aortic valve calcium progression: insights from the MESA study.

BACKGROUND: Remnant cholesterol (RC) is implicated in the risk of cardiovascular disease. However, comprehensive population-based studies elucidating its association with aortic valve calcium (AVC) progression are limited, rendering its precise role in AVC ambiguous. METHODS: From the Multi-Ethnic Study of Atherosclerosis database, we included 5597 individuals (61.8 ± 10.1 years and 47.5% men) without atherosclerotic cardiovascular disease at baseline for analysis. RC was calculated as total cholesterol minus high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C), as estimated by the Martin/Hopkins equation. Using the adjusted Cox regression analyses, we examined the relationships between RC levels and AVC progression. Furthermore, we conducted discordance analyses to evaluate the relative AVC risk in RC versus LDL-C discordant/concordant groups. RESULTS: During a median follow-up of 2.4 ± 0.9 years, 568 (10.1%) participants exhibited AVC progression. After adjusting for traditional cardiovascular risk factors, the HRs (95% CIs) for AVC progression comparing the second, third, and fourth quartiles of RC levels with the first quartile were 1.195 (0.925-1.545), 1.322 (1.028-1.701) and 1.546 (1.188-2.012), respectively. Notably, the discordant high RC/low LDL-C group demonstrated a significantly elevated risk of AVC progression compared to the concordant low RC/LDL-C group based on their medians (HR, 1.528 [95% CI 1.201-1.943]). This pattern persisted when clinical LDL-C threshold was set at 100 and 130 mg/dL. The association was consistently observed across various sensitivity analyses. CONCLUSIONS: In atherosclerotic cardiovascular disease-free individuals, elevated RC is identified as a residual risk for AVC progression, independent of traditional cardiovascular risk factors. The causal relationship of RC to AVC and the potential for targeted RC reduction in primary prevention require deeper exploration.

Determining four confounding factors in individual cognitive traits prediction with functional connectivity: an exploratory study.

Resting-state functional connectivity (RSFC) has been widely adopted for individualized trait prediction. However, multiple confounding factors may impact the predicted brain-behavior relationships. In this study, we investigated the impact of 4 confounding factors including time series length, functional connectivity (FC) type, brain parcellation choice, and variance of the predicted target. The data from Human Connectome Project including 1,206 healthy subjects were employed, with 3 cognitive traits including fluid intelligence, working memory, and picture vocabulary ability as the prediction targets. We compared the prediction performance under different settings of these 4 factors using partial least square regression. Results demonstrated appropriate time series length (300 time points) and brain parcellation (independent component analysis, ICA100/200) can achieve better prediction performance without too much time consumption. FC calculated by Pearson, Spearman, and Partial correlation achieves higher accuracy and lower time cost than mutual information and coherence. Cognitive traits with larger variance among subjects can be better predicted due to the well elaboration of individual variability. In addition, the beneficial effects of increasing scan duration to prediction partially arise from the improved test-retest reliability of RSFC. Taken together, the study highlights the importance of determining these factors in RSFC-based prediction, which can facilitate standardization of RSFC-based prediction pipelines going forward.

Long-term ANT-DBS effects in pilocarpine-induced epileptic rats: A combined 9.4T MRI and histological study.

Deep brain stimulation (DBS) of the anterior nucleus of the thalamus (ANT) appears to be effective against seizures in animals and humans however, its therapeutic mechanisms remain elusive. This study aimed to combine 9.4T multimodal magnetic resonance imaging (MRI) with histology to investigate the longitudinal effects of long-term ANT-DBS in pilocarpine-induced epileptic rats. Status epilepsy (SE) was induced by LiCl-pilocarpine injection in 11 adult male Sprague-Dawley rats. Four weeks after SE, chronic epileptic rats underwent either ANT-DBS (n = 6) or sham-DBS (n = 5) surgery. Electroencephalography (EEG) and spontaneous recurrent seizures (SRS) were recorded for 1 week. The T2-weighted image and images from resting-state functional MRI (rs-fMRI) were acquired at three states: before SE, at 4 weeks post-SE, and at 5 weeks post-DBS. Volumes of the hippocampal subregions and hippocampal-related functional connectivity (FC) were compared longitudinally. Finally, antibodies against neuronal nuclei (NeuN) and glial fibrillary acidic proteins were used to evaluate neuronal loss and astrogliosis in the hippocampus. Long-term ANT-DBS significantly reduced seizure generalization in pilocarpine-induced epileptic rats. By analyzing the gray matter volume using T2-weighted images, long-term ANT-DBS displayed morphometric restoration of the hippocampal subregions. Neuronal protection of the hippocampal subregions and inhibition of astrogliosis in the hippocampal subregions were observed in the ANT-DBS group. ANT-DBS caused reversible regulation of FC in the insula-hippocampus and subthalamic nucleus-hippocampus. Long-term ANT-DBS provides comprehensive protection of hippocampal histology, hippocampal morphometrics, and hippocampal-related functional networks.

Missense mutation of c.635 T > C in CAPN3 impairs muscle injury repair in a Limb-Girdel Muscular Dystropy Model.

Limb-girdle muscular dystrophy recessive 1 (LGMDR1), previously known as LGMD2A, is a specific LGMD caused by a gene mutation encoding the calcium-dependent neutral cysteine protease calpain-3 (CAPN3). In our study, the compound heterozygosity with two missense variants c.635 T > C (p.Leu212Pro) and c.2120A > G (p.Asp707Gly) was identified in patients with LGMDR1. However, the pathogenicity of c.635 T > C has not been investigated. To evaluate the effects of this novel likely pathogenic variant to the motor system, the mouse model with c.635 T > C variant was prepared by CRISPR/Cas9 gene editing technique. The pathological results revealed that a limited number of inflammatory cells infiltrated the endomyocytes of certain c.635 T > C homozygous mice at 10 months of age. Compared with wild-type mice, motor function was not significantly impaired in Capn3 c. 635 T > C homozygous mice. Western blot and immunofluorescence assays further indicated that the expression levels of the Capn3 protein in muscle tissues of homozygous mice were similar to those of wild-type mice. However, the arrangement and ultrastructural alterations of the mitochondria in the muscular tissues of homozygous mice were confirmed by electron microscopy. Subsequently, muscle regeneration of LGMDR1 was simulated using cardiotoxin (CTX) to induce muscle necrosis and regeneration to trigger the injury modification process. The repair of the homozygous mice was significantly worse than that of the control mice at day 15 and day 21 following treatment, the c.635 T > C variant of Capn3 exhibited a significant effect on muscle regeneration of homozygous mice and induced mitochondrial damage. RNA-sequencing results demonstrated that the expression levels of the mitochondrial-related functional genes were significantly downregulated in the mutant mice. Taken together, the results of the present study strongly suggested that the LGMDR1 mouse model with a novel c.635 T > C variant in the Capn3 gene was significantly dysfunctional in muscle injury repair via impairment of the mitochondrial function.

Non-negligible roles of charge transfer excitons in ultrafast excitation energy transfer dynamics of a double-walled carbon nanotube.

Herein, we employed a developed linear response time dependent density functional theory-based nonadiabatic dynamics simulation method that explicitly takes into account the excitonic effects to investigate photoinduced excitation energy transfer dynamics of a double-walled carbon nanotube (CNT) model with different excitation energies. The E11 excitation of the outer CNT will generate a local excitation (LE) |out*〉 exciton due to its low energy, which does not induce any charge separation. In contrast, the E11 excitation of the inner CNT can generate four kinds of excitons with the LE exciton |in*〉 dominates. In the 500-fs dynamics simulation, the LE exciton |in*〉 and charge transfer (CT) excitons |out-in+〉 and |out+in-〉 are all gradually converted to the |out*〉 exciton, corresponding to a photoinduced excitation energy transfer, which is consistent with experimental studies. Finally, when the excitation energy is close to the E22 state of the outer CNT (∼1.05 eV), a mixed population of different excitons, with the |out*〉 exciton dominated, is generated. Then, photoinduced energy transfer from the outer to inner CNTs occurs in the first 50 fs, which is followed by an inner to outer excitation energy transfer that is completed in 400 fs. The present work not only sheds important light on the mechanistic details of wavelength-dependent excitation energy transfer of a double-walled CNT model but also demonstrates the roles and importance of CT excitons in photoinduced excitation energy transfer. It also emphasized that explicitly including the excitonic effects in electronic structure calculations and nonadiabatic dynamics simulations is significant for correct understanding/rational design of optoelectronic properties of periodically extended systems.

Colorimetric and photothermal dual-mode lateral flow immunoassay based on Au-Fe3O4 multifunctional nanoparticles for detection of Salmonella typhimurium.

Au-Fe3O4 multifunctional nanoparticles (NPs) were synthesized and integrated with lateral flow immunoassay (LFIA) for dual-mode detection of Salmonella typhimurium. The Au-Fe3O4 NPs not only combined excellent local surface plasmon resonance characteristics and superparamagnetic properties, but also exhibited good photothermal effect. In the detection, antibody-conjugated Au-Fe3O4 NPs first captured S. typhimurium from complex matrix, which was then loaded on the LFIA strip and trapped by the T-line. By observing the color bands with the naked eyes, qualitative detection was performed free of instrument. By measuring the photothermal signal, quantification was achieved with a portable infrared thermal camera. The introduction of magnetic separation achieved the enrichment and purification of target bacteria, thus enhancing the detection sensitivity and reducing interference. This dual-mode LFIA achieved a visual detection limit of 5 × 105 CFU/mL and a photothermal detection limit of 5 × 104 CFU/mL. Compared with traditional Au-based LFIA, this dual-mode LFIA increased the detection sensitivity by 2 orders of magnitude and could be directly applied to unprocessed milk sample. Besides, this dual-mode LFIA showed good reproducibility and specificity. The intra-assay and inter-assay variation coefficients were 3.0% and 7.9%, and with this dual-mode LFIA, other bacteria hardly produced distinguishable signals. Thus, the Au-Fe3O4 NPs-based LFIA has potential to increase the efficiency of pandemic prevention and control. Au-Fe3O4 nanoparticle proved to be a promising alternative reporter for LFIA, achieving multifunctions: target purification, target enrichment, visual qualitation, and instrumental quantification, which improved the limitations of traditional LFIA.

Genome-wide identification of Tomato Golden 2-Like transcription factors and abiotic stress related members screening.

BACKGROUND: Golden 2-Like (G2-like) transcription factors play an important role in plant development. However, the roles of these G2-like regulatory genes in response to abiotic stresses in tomato are not well understood. RESULTS: In this study, we identified 66 putative G2-like genes in tomato (Solanum lycopersicum) and classified them into 5 groups (I to V) according to gene structure, motif composition and phylogenetic analysis. The G2-like genes were unevenly distributed across all 12 chromosomes. There were nine pairs of duplicated gene segments and four tandem duplicated SlGlk genes. Analysis of the cis-regulatory elements (CREs) showed that the promoter regions of SlGlks contain many kinds of stress- and hormone-related CREs. Based on RNA-seq, SlGlks were expressed in response to three abiotic stresses. Thirty-six differentially expressed SlGlks were identified; these genes have multiple functions according to Gene Ontology (GO) analysis and are enriched mainly in the zeatin biosynthesis pathway. Further studies exhibited that silencing SlGlk16 in tomato would reduce drought stress tolerance by earlier wilted, lower superoxide dismutase (SOD), peroxidase (POD) activities, less Pro contents and more MDA contents. CONCLUSIONS: Overall, the results of this study provide comprehensive information on G2-like transcription factors and G2-like genes that may be expressed in response to abiotic stresses.

Probing individual-level structural atrophy in frontal glioma patients.

Although every glioma patient varies in tumor size, location, histological grade and molecular biomarkers, non-tumoral morphological abnormalities are commonly detected by a statistical comparison among patient groups, missing the information of individual morphological alterations. In this study, we introduced an individual-level structural abnormality detection method for glioma patients and proposed several abnormality indexes to depict individual atrophy patterns. Forty-five patients with a glioma in the frontal lobe and fifty-one age-matched healthy controls participated in the study. Individual structural abnormality maps (SAM) were generated using patients' preoperative T1 images, by calculating the degree of deviation of voxel volume in each patient with the normative model built from healthy controls. Based on SAM, a series of individual abnormality indexes were computed, and their relationship with glioma characteristics was explored. The results demonstrated that glioma patients showed unique non-tumoral atrophy patterns with overlapping atrophy regions mainly located at hippocampus, parahippocampus, amygdala, insula, middle temporal gyrus and inferior temporal gyrus, which are closely related to the human cognitive functions. The abnormality indexes were associated with several molecular biomarkers including isocitrate dehydrogenase (IDH) mutation, 1p/19q co-deletion and telomerase reverse transcriptase (TERT) promoter mutation. Our study provides an effective way to access the individual-level non-tumoral structural abnormalities in glioma patients, which has the potential to significantly improve individualized precision medicine.

Analysis of Risk Factors of Early Mortality After Pericardiectomy For Constrictive Pericarditis.

BACKGROUND: We aimed to investigate risk factors of early mortality following pericardiectomy. METHODS: This was a retrospective study of patients undergoing pericardiectomy between January 1994 and May 2021 at The People's Hospital of Guangxi Zhuang Autonomous Region, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, and The People's Hospital of Liuzhou City. RESULTS: This study included 826 patients, who were divided into two groups: group with operative deaths (N = 66) and group without operative deaths (N = 760). There were 66 operative deaths (66/826, 8.0%). The causes of operative deaths were multiorgan failure (86/826, 10.4%). Preoperative CVP (P < 0.001), chest drainage (P < 0.001), surgical duration (P < 0.001), fluid balance postoperative day D2 (P < 0.001), and tuberculosis pericarditis (P = 0.001) in group with operative deaths were significantly higher than those in group without operative deaths. Univariate and multivariate analyses showed that factors associated with operative deaths include male (P < 0.001), age (P < 0.001), ICU retention time (P < 0.001), postoperative hospitalization time (P < 0.001), preoperative central venous pressure (P = 0.018), postoperative central venous pressure (P < 0.001), D0 fluid balance (P < 0.001), D2 fluid balance (P < 0.001), postoperative chest drainage (P = 0.029), surgical duration (P = 0.003), serum creatinine baseline (P = 0.002), serum creatinine 24h after surgery (P < 0.001), serum creatinine 48h after surgery (P < 0.001), blood lactate (P < 0.001), and tuberculosis pericarditis (P = 0.033). CONCLUSION: In our study, incomplete pericardial dissection, fluid overload, and tuberculosis pericarditis are associated with operative deaths following pericardiectomy.

Incomplete Pericardial Dissection, Fluid Overload, Delayed Diagnosis And Treatment, And Tuberculosis Pericarditis Are Associated With Low Cardiac Output Syndrome Following Pericardiectomy.

BACKGROUND: We aimed to investigate risk factors of LCOS following pericardiectomy. METHODS: This was a retrospective study of patients undergoing pericardiectomy at three hospitals between January 1994 and May 2021. RESULTS: A total of 826 patients were divided into two groups: group with LCOS (N = 126) and group without LCOS (N = 700). The incidence of postoperative LCOS was 15.3%. There were 66 operative deaths (8.0%). Univariable and multivariable analyses showed that factors are associated with LCOS, including postoperative LVEDD (P < 0.001), preoperative LVEDD (P < 0.001), time between symptoms and surgery (P < 0.001), thickness of pericardium (P < 0.001), intubation time (P = 0.002), hospitalized time postoperative (P < 0.001), preoperative central venous pressure (P = 0.016), postoperative central venous pressure (P = 0.034), D0 fluid balance (P = 0.019), D2 fluid balance (P = 0.017), postoperative chest drainage (P < 0.001), surgical duration (P < 0.001), bleeding during operation (P = 0.001), serum creatinine 24h after surgery (P < 0.001), serum creatinine 48h after surgery (P = 0.017), fresh-frozen plasma (P = 0.005), packed red cells (P = 0.006), and tuberculosis pericarditis (P = 0.026). CONCLUSION: In our study, incomplete pericardial dissection, fluid overload, delayed diagnosis and treatment, and tuberculosis pericarditis are associated with LCOS following pericardiectomy.

Characterizing the seizure onset zone and epileptic network using EEG-fMRI in a rat seizure model.

Accurate epileptogenic zone (EZ) or seizure onset zone (SOZ) localization is crucial for epilepsy surgery optimization. Previous animal and human studies on epilepsy have reported that changes in blood oxygen level-dependent (BOLD) signals induced by epileptic events could be used as diagnostic markers for EZ or SOZ localization. Simultaneous electroencephalography and functional magnetic resonance imaging (EEG-fMRI) recording is gaining interest as a non-invasive tool for preoperative epilepsy evaluation. However, EEG-fMRI studies have reported inconsistent and ambiguous findings. Therefore, it remains unclear whether BOLD responses can be used for accurate EZ or SOZ localization. In this study, we used simultaneous EEG-fMRI recording in a rat model of 4-aminopyridine-induced acute focal seizures to assess the spatial concordance between individual BOLD responses and the SOZ. This was to determine the optimal use of simultaneous EEG-fMRI recording in the SOZ localization. We observed a high spatial consistency between BOLD responses and the SOZ. Further, dynamic BOLD responses were consistent with the regions where the seizures were propagated. These results suggested that simultaneous EEG-fMRI recording could be used as a noninvasive clinical diagnostic technique for localizing the EZ or SOZ and could be an effective tool for mapping epileptic networks.

Human immune deficiency virus-related structural alterations in the brain are dependent on age.

Currently, it is still unknown whether human immune deficiency virus (HIV)-related structural alterations in the brain are dependent on age. With people living with HIV at different ages, we aim to investigate age-specific structural alterations in HIV patients. Eighty-three male HIV patients and eighty-three age-matched male controls were enrolled, and high-resolution T1 weighted images were collected and analyzed with four morphological metrics. Then, statistical analyses were respectively conducted to ascertain HIV effects, age effects, and medication effects in brain structure of HIV patients, and the relationship with neuropsychological evaluations were further explored. Finally, discriminative performances of these structural abnormalities were quantitatively testified with three machine learning models. Compared with healthy controls, HIV patients displayed lower gray matter volumes (GMV), lower gyrification index, deeper sulcus depth, and larger cortical thickness (CTH). Age-specific differences were found in GMV and CTH: young-aged HIV patients displayed more obvious morphological alterations than middle-aged HIV patients when comparing corresponding age-matched healthy controls. Furthermore, age-specific long-term medication effect of combination antiretroviral therapy were also presented. Additionally, several subcortical structural changes were negatively associated with language, attention and motor functions. Finally, three machine learning models demonstrated young-aged HIV patients were easier to be recognized than middle-aged HIV patients. Our study indicated young-aged HIV patients were more vulnerable to HIV infection in brain structure than middle-aged patients, and future studies should not ignore the age effect in studying the HIV-related abnormalities.

Genome-wide hypermethylation is closely associated with abnormal expression of genes involved in neural development in induced pluripotent stem cells derived from a Down syndrome mouse model.

Mental retardation is the main clinical manifestation of Down syndrome (DS), and neural abnormalities occur during the early embryonic period and continue throughout life. Tc1, a model mouse for DS, carries the majority part of the human chromosome 21 and has multiple neuropathy phenotypes similar to patients with DS. To explore the mechanism of early neural abnormalities of Tc1 mouse, induced pluripotent stem (iPS) cells from Tc1 mice were obtained, and genome-wide gene expression and methylation analysis were performed for Tc1 and wild-type iPS cells. Our results showed hypermethylation profiles for Tc1 iPS cells, and the abnormal genes were shown to be related to neurodevelopment and distributed on multiple chromosomes. In addition, important genes involved in neurogenesis and neurodevelopment were shown to be downregulated in Tc1 iPS cells. In short, our study indicated that genome-wide hypermethylation leads to the disordered expression of genes associated with neurodevelopment in Tc1 mice during early development. Overall, our work provided a useful reference for the study of the molecular mechanism of nervous system abnormalities in DS.

Prognostic significance of low TSH concentration in patients with COVID-19 presenting with non-thyroidal illness syndrome.

BACKGROUND: Low free triiodothyronine (FT3) levels are related to a poor prognosis deterioration in patients with COVID-19 presenting with non-thyroidal illness syndrome (NTI). This study was designed to explore whether free thyroxin (FT4) or thyroid stimulating hormone (TSH) levels affected the mortality of patients with COVID-19 presenting with NTI. METHODS: Patients with COVID-19 complicated with NTI who were treated at our hospital were included in this retrospective study. Patients were divided into low TSH and normal TSH groups, as well as low and normal-high FT4 group, according to the reference range of TSH or FT4 levels. The 90-day mortality and critical illness rates were compared among patients with low and normal TSH levels, as well as among patients with low FT4 levels and normal-high FT4 levels; in addition, differences in demographic and laboratory data were compared. A Kaplan-Meier analysis and Cox proportional hazards models were used to assess the associations of TSH and FT4 levels with mortality. RESULTS: One hundred fifty patients with low FT3 levels and without a history of thyroid disease were included, 68% of whom had normal FT4 and TSH levels. Critical illness rates (74.07% VS 37.40%, P = 0.001) and mortality rates (51.85% VS 22.76%, P = 0.002) were significantly higher in the low TSH group than in the normal TSH group. Although no significant difference in the critical illness rate was found (P = 0.296), the mortality rate was significantly higher in the low FT4 group (P = 0.038). Low TSH levels were independently related to 90-day mortality (hazard ratio = 2.78, 95% CI:1.42-5.552, P = 0.003). CONCLUSIONS: Low FT4 and TSH concentrations were associated with mortality in patients with COVID-19 presenting with NTI; moreover, low TSH levels were an independent risk factor for mortality in these patients.

Tongue image quality assessment based on a deep convolutional neural network.

BACKGROUND: Tongue diagnosis is an important research field of TCM diagnostic technology modernization. The quality of tongue images is the basis for constructing a standard dataset in the field of tongue diagnosis. To establish a standard tongue image database in the TCM industry, we need to evaluate the quality of a massive number of tongue images and add qualified images to the database. Therefore, an automatic, efficient and accurate quality control model is of significance to the development of intelligent tongue diagnosis technology for TCM. METHODS: Machine learning methods, including Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Adaptive Boosting Algorithm (Adaboost), Naïve Bayes, Decision Tree (DT), Residual Neural Network (ResNet), Convolution Neural Network developed by Visual Geometry Group at University of Oxford (VGG), and Densely Connected Convolutional Networks (DenseNet), were utilized to identify good-quality and poor-quality tongue images. Their performances were made comparisons by using metrics such as accuracy, precision, recall, and F1-Score. RESULTS: The experimental results showed that the accuracy of the three deep learning models was more than 96%, and the accuracy of ResNet-152 and DenseNet-169 was more than 98%. The model ResNet-152 obtained accuracy of 99.04%, precision of 99.05%, recall of 99.04%, and F1-score of 99.05%. The performances were better than performances of other eight models. The eight models are VGG-16, DenseNet-169, SVM, RF, GBDT, Adaboost, Naïve Bayes, and DT. ResNet-152 was selected as quality-screening model for tongue IQA. CONCLUSIONS: Our research findings demonstrate various CNN models in the decision-making process for the selection of tongue image quality assessment and indicate that applying deep learning methods, specifically deep CNNs, to evaluate poor-quality tongue images is feasible.

Preoperative Pericardial Effusion is Associated with Low Cardiac Output Syndrome After Pericardiectomy for Constrictive Pericarditis.

BACKGROUND: Low cardiac output syndrome is the main cause of death after pericardiectomy. METHODS: Patients who underwent pericardiectomy for constrictive pericarditis from January 2009 to October 2020 at our hospital were included in the study. Histopathologic studies of pericardium tissue from every patient were performed. All survivors were followed up. RESULTS: Ninety-two consecutive patients underdoing pericardiectomy were included in the study. The incidence of postoperative low cardiac output syndrome was 10.7% (10/92). There were five operative deaths. Mortality and incidence of LCOS in the group with pericardial effusion were significantly higher than those in the group without pericardial effusion. Tuberculosis of the pericardium (60/92, 65.2%) was the most common histopathologic finding in this study. Both univariate and multivariate analyses showed that preoperative pericardial effusion is associated with increased rate of low cardiac output syndrome. Eighty-five survivors were in NYHA class I (85/87, 97.7%), and two were in class II (2/87, 2.3%) at the latest follow up. CONCLUSIONS: Preoperative pericardial effusion is associated with low cardiac output syndrome after pericardiectomy. Tuberculosis of the pericardium was the most common histopathologic finding in this study. For constrictive pericarditis caused by tuberculous bacteria, systematic antituberculosis drugs should be given. Preoperative pericardial effusion is associated with increased rate of low cardiac output syndrome. Perfect preoperative preparation is very important to reduce the incidence of postoperative low cardiac output syndrome and mortality. It is very important to use a large dose of diuretics with cardiotonic or vasopressor in a short time after the operation.

Diagnosis and Treatment of Mechanical Hemolysis after Mitral Repair in Adult.

BACKGROUND: Mitral repair has been widely used in the treatment of secondary mitral lesions in recent years. Hemolytic anemia is known to be a rare complication after mitral repair. This study aimed to investigate the diagnosis and treatment of mechanical hemolysis after mitral repair in adults. METHODS: In this retrospective study, we reviewed the medical records of patients undergoing mitral repair complicated with mechanical hemolysis at our institution between August 2006 and May 2020. RESULTS: Twenty-four patients undergoing mitral repair complicated with mechanical hemolysis were included in the study. They were divided into two groups: the reoperation group (patients who underwent reoperation; N = 18) and the conservative treatment group (patients who received symptomatic treatments, including blood transfusion, diuresis, alkalization of urine, liver protection, hemodialysis, and oral metoprolol; N = 6. All patients in the reoperation group underwent mitral valve replacement. There were six hospital deaths, all in the conservative treatment group. Seventeen of eighteen patients (94.4%) completed follow up. Fifteen of seventeen survivors (88.2%) were in NYHA class I and 11.8% (2/17) in NYHA class II at the last time follow up. CONCLUSIONS: Hemolysis is a sign of failure of mitral repair. Reoperation is the best choice once the hemolysis has been diagnosed. Reoperation should be carried out as soon as possible.

Fluid Balance of the Second Day Following Operation is Associated with Early Mortality and Multiorgan Failure After Pericardiectomy for Constrictive Pericarditis.

BACKGROUND: The operative mortality of pericardiectomy still is high. This retrospective study was conducted to determine the risk factors of early mortality and multiorgan failure. METHODS: We retrospectively analyzed patients undergoing pericardiectomy from January 2009 to June 2020 at our hospital. Pericardiectomy was performed via sternotomy. Histopathologic studies of pericardium tissue from every patient were done. All survivors were monitored to the end date of the study. RESULTS: Ninety-two consecutive patients undergoing pericardiectomy for constrictive pericarditis were included in the study. Postoperatively, central venous pressure significantly decreased, and left ventricular end diastolic dimension and left ventricular ejection fractions significantly improved. The overall mortality rate was 5.4%. The common postoperative complications include acute renal injury (27.2%), and multiorgan failure (8.7%). Analyses of risk factors showed that fluid balance of the second day following operation is associated with early mortality and multiorgan failure. In this series from Guangxi, China, characteristic histopathologic features of tuberculosis (60/92, 65.2%) of pericardium were the most common histopathologic findings, and 32 patients (32/92, 34.8%) had the histopathologic findings of chronic nonspecific inflammatory changes. The functional status of the patients improved after pericardiectomy; 6 months later postoperatively 85 survivors were in class I (85/87, 97.7%) and two were in class II (2/87, 2.3%). CONCLUSIONS: Tuberculosis is the most common cause of constrictive pericarditis in Guangxi, China. Fluid balance of the second day following operation is associated with early mortality and multiorgan failure after pericardiectomy for constrictive pericarditis in our study.

Acute Kidney Injury: Lessons from Pericardiectomy.

BACKGROUND: Acute kidney (renal) injury (AKI) is a severe and common complication that occurs in ~40% of patients undergoing cardiac surgery. AKI has been associated with increased mortality and worse prognosis. This prospective study was conducted to determine the risk factors for AKI after pericardiectomy and decrease the operative risk of mortality and morbidity. METHODS: This was a prospective, observational cohort study of patients with constrictive pericarditis undergoing pericardiectomy. All patients underwent pericardiectomy via median sternotomy. Serum creatinine was used as the diagnostic standard of AKI according to Kidney Disease Improving Global Outcomes classification. All survivors were monitored to the end date of the study. RESULTS: Consecutive patients (N = 92) undergoing pericardiectomy were divided into 2 groups: with AKI (n = 25) and without AKI (n = 67). The incidence of postoperative AKI was 27.2% (25/92). Hemodialysis was required for 10 patients (40%), and there were 5 operative deaths. Mortality, intubation time, time in intensive care unit, fresh-frozen plasma, and packed red cells of the group with AKI were significantly higher than those of the group without AKI. Both univariate and multivariate analyses showed that statistically significant independent predictors of AKI include intubation time, chest drainage, fresh-frozen plasma, and packed red cells. The latest follow-up data showed that 85 survivors were New York Heart Association class I (97.7%) and 2 were class II (2.3%). CONCLUSIONS: AKI after pericardiectomy is a serious complication and contributes to significantly increased morbidity and mortality. Prevention of AKI development after cardiac surgery and optimization of pre-, peri-, and postoperative factors that can reduce AKI, therefore, contribute to a better postoperative outcome and leads to lower rates of AKI, morbidity, and mortality.