Effectiveness of Early Multimodal Non-pharmacological Interventions in Cognitive Preservation in the Elderly.

INTRODUCTION: Multimodal non-pharmacological interventions (MNPI) have been determined as effective in delaying cognitive deterioration. The effectiveness of timing of such interventions in elderly is less discussed. We compared the different effectiveness of MNPI in cognitive preservation in elderly subjects with and without dementia. METHODS: We enrolled volunteer the elderly subjects. Subjects were classified as dementia group and non-dementia group by instrument of ascertainment of dementia 8. All were assigned to attend 3 hours of MNPI (physical fitness training, Chinese capillary, and Chinese drawings and paintings) twice a week over a 16-week period. Neuropsychiatric tests, including Mini-Mental State Examination (MMSE), Cognitive Assessment Screening Instrument (CASI), clinical dementia rating (CDR), and neuropsychiatric inventory (NPI), were administered before and 1 year after MNPI. We demonstrated the changes of cognition and behavioral and psychological symptoms of dementia (BPSD) before and after MNPI. We compared the different effectiveness of cognition preservation between two groups. RESULTS: In total, there were 43 participants in our study, including 18 with non-dementia and 25 with dementia. The non-dementia group had a significantly higher proportion of cognitive preservation in remote memory (100.0% vs 68.0%, P = .007), orientation (94.4% vs 48.0%, P = .001), drawing (94.4% vs 64.0%, P = .021) and language (77.8% vs 48.0%, P = .049) than the dementia group. The highest proportion of preserved cognition after MNPI was remote memory (100%), followed by orientation (94.4%) and drawing (94.4%) in the non-dementia group. The highest proportion of preserved cognition after MNPI was attention (72%) followed by remote memory (68%), recent memory (64%) and drawing (64%) in the dementia group. Overall, their improved rate in behavioral and psychological symptoms was 55.6%. CONCLUSION: Our study concluded the benefits of early MNPI in cognition preservation in the elderly, especially in the field of remote memory, orientation, drawing and language.

Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Chest Radiographs.

Bronchopulmonary dysplasia (BPD) is common in preterm infants and may result in pulmonary vascular disease, compromising lung function. This study aimed to employ artificial intelligence (AI) techniques to help physicians accurately diagnose BPD in preterm infants in a timely and efficient manner. This retrospective study involves two datasets: a lung region segmentation dataset comprising 1491 chest radiographs of infants, and a BPD prediction dataset comprising 1021 chest radiographs of preterm infants. Transfer learning of a pre-trained machine learning model was employed for lung region segmentation and image fusion for BPD prediction to enhance the performance of the AI model. The lung segmentation model uses transfer learning to achieve a dice score of 0.960 for preterm infants with ≤ 168 h postnatal age. The BPD prediction model exhibited superior diagnostic performance compared to that of experts and demonstrated consistent performance for chest radiographs obtained at ≤ 24 h postnatal age, and those obtained at 25 to 168 h postnatal age. This study is the first to use deep learning on preterm chest radiographs for lung segmentation to develop a BPD prediction model with an early detection time of less than 24 h. Additionally, this study compared the model's performance according to both NICHD and Jensen criteria for BPD. Results demonstrate that the AI model surpasses the diagnostic accuracy of experts in predicting lung development in preterm infants.

A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images.

BACKGROUND: Many methodologies for selecting histopathological images, such as sample image patches or segment histology from regions of interest (ROIs) or whole-slide images (WSIs), have been utilized to develop survival models. With gigapixel WSIs exhibiting diverse histological appearances, obtaining clinically prognostic and explainable features remains challenging. Therefore, we propose a novel deep learning-based algorithm combining tissue areas with histopathological features to predict cancer survival. METHODS: The Cancer Genome Atlas Colon Adenocarcinoma (TCGA-COAD) dataset was used in this investigation. A deep convolutional survival model (DeepConvSurv) extracted histopathological information from the image patches of nine different tissue types, including tumors, lymphocytes, stroma, and mucus. The tissue map of the WSIs was segmented using image processing techniques that involved localizing and quantifying the tissue region. Six survival models with the concordance index (C-index) were used as the evaluation metrics. RESULTS: We extracted 128 histopathological features from four histological types and five tissue area features from WSIs to predict colorectal cancer survival. Our method performed better in six distinct survival models than the Whole Slide Histopathological Images Survival Analysis framework (WSISA), which adaptively sampled patches using K-means from WSIs. The best performance using histopathological features was 0.679 using LASSO-Cox. Compared to histopathological features alone, tissue area features increased the C-index by 2.5%. Based on histopathological features and tissue area features, our approach achieved performance of 0.704 with RIDGE-Cox. CONCLUSIONS: A deep learning-based algorithm combining histopathological features with tissue area proved clinically relevant and effective for predicting cancer survival.

Consistencies among miscellaneous scales for evaluation of post-stroke dysphagia.

PURPOSE: Post-stroke dysphagia (PSD) is the most common type of dysphagia. Stroke patients with sustained dysphagia have poorer outcomes. The severity of PSD is assessed using miscellaneous scales with unknown consistencies. We aim to investigate the consistencies among miscellaneous scales, which could aid in the assessment of PSD. METHODS: A total of 49 PSD patients were enrolled. Functional Oral Intake Scale (FOIS), Dysphagia Severity Scale (DSS), Ohkuma Questionnaire, Eating Assessment Tool-10, and Repetitive Saliva Swallowing Test were performed. FOIS was performed by physicians, and DSS was conducted by both the physicians and nurses; the physicians used either videofluoroscopy (VF) or videoendoscopy (VE) for evaluation; while, the nurses assessed PSD by observation and subjective judgment. RESULTS: When using VF (VF-DSS and VF-FOIS) as the gold standard for the evaluation, VE-FOIS (κ = 0.625, 95% CI 0.300-0.950, p < 0.001) has a substantial agreement with VF-FOIS, and VE-DSS (κ = 0.381, 95% CI 0.127-0.636, p = 0.007) has a fair agreement with VF-DSS. The weighted kappa of FOIS to DSS in VE (weighted κ = 0.577, 95% CI 0.414-0.740, p < 0.001) is not lower than that in VF (weighted kappa = 0.249, 95% CI 0.136-0.362, p < 0.001). CONCLUSION: For both DSS and FOIS, only VE has a statistically significant agreement with VF. Though VF has been viewed as the traditional gold standard of dysphagia screening, it has the limitations of being invasive and equipment dependent. For PSD, VE could be considered as a substitution when VF is not available or suitable.

Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN.

Automatic liver tumor detection from computed tomography (CT) makes clinical examinations more accurate. However, deep learning-based detection algorithms are characterized by high sensitivity and low precision, which hinders diagnosis given that false-positive tumors must first be identified and excluded. These false positives arise because detection models incorrectly identify partial volume artifacts as lesions, which in turn stems from the inability to learn the perihepatic structure from a global perspective. To overcome this limitation, we propose a novel slice-fusion method in which mining the global structural relationship between the tissues in the target CT slices and fusing the features of adjacent slices according to the importance of the tissues. Furthermore, we design a new network based on our slice-fusion method and Mask R-CNN detection model, called Pinpoint-Net. We evaluated proposed model on the Liver Tumor Segmentation Challenge (LiTS) dataset and our liver metastases dataset. Experiments demonstrated that our slice-fusion method not only enhance tumor detection ability via reducing the number of false-positive tumors smaller than 10mm, but also improve segmentation performance. Without bells and whistles, a single Pinpoint-Net showed outstanding performance in liver tumor detection and segmentation on LiTS test dataset compared with other state-of-the-art models.

Videofluoroscopy dysphagia severity scale is predictive of subsequent remote pneumonia in dysphagia patients.

Introduction: Dysphagia-associated pneumonia is a critical health issue especially in the elders and stroke patients which carries a poorer prognosis. Therefore, we aim to identify methods with the potentials to predict subsequent pneumonia in dysphagia patients, which will be of great value in the prevention and early management of pneumonia. Methods: One-hundred dysphagia patients were enrolled and measurements including Dysphagia Severity Scale (DSS), Functional Oral Intake Scale (FOIS), Ohkuma Questionnaire, and Eating Assessment Tool-10 (EAT-10) were assessed by either videofluoroscopy (VF), videoendoscopy (VE), or the study nurse. The patients were categorized into mild or severe groups based on each screening method. All the patients were assessed for pneumonia at 1, 3, 6, and 20 months after the examinations. Results: VF-DSS (p=0.001) is the only measurement being significantly associated with subsequent pneumonia with sensitivity and specificity of 0.857 and 0.486. The Kaplan-Meier curves revealed that significant differences between the mild/severe groups start to emerge 3 months after VF-DSS (p=0.013). Cox regression models used for adjusted hazard ratio of severe VF-DSS in association with subsequent pneumonia of different timepoints after controlling the important covariates showed the following results: 3 months, p=0.026, HR=5.341, 95%CI=1.219-23.405; 6 months, p=0.015, HR=4.557, 95%CI=1.338-15.522; 20 months, p=0.004, HR=4.832, 95%CI=1.670-13.984. Conclusions: Dysphagia severity evaluated by VE-DSS, VE-FOIS, VF-FOIS, Ohkuma Questionnaire, and EAT-10 is not associated with subsequent pneumonia. Only VF-DSS is associated with both short-term and long-term subsequent pneumonia. In patients with dysphagia, VF-DSS is predictive of subsequent pneumonia.

Prevalence and Risk Factors of Neuropsychiatric Symptoms in Institutionalized Patients with Parkinson's Disease in Taiwan: A Nationwide Observational Study.

Neuropsychiatric symptoms (NPSs) are known to be frequent in Parkinson's disease (PD) with great impacts on the quality of life, but reports about the prevalence in institutions are few. Our aim was to investigate the prevalence of and risk factors for NPSs in institutionalized patients with PD in Taiwan. The National Health Research Institute executed a cross-sectional, community-based, observational study on residential long-term care service institutions. The diagnosis of PD was determined by physicians with the estimated Hoehn and Yahr stage of PD according to the EQ-5D-5L questionnaire. A total of 370 patients with PD (80.1 ± 9.94 years old, 55.1% females) were included, and 139 (37.6%) had more than one NPS in the prior 3 months. The top three NPSs were nighttime behavior (65 (17.6%)), depression (53 (14.3%)), and fear/anxiety (49 (13.2%)). There were no differences between those with NPS and those without NPS in terms of age, gender, education, Mini-Mental State Examination, or Hoehn and Yahr stage. However, multivariate logistic regression analysis showed that genitourinary disease (odds ratio (OR) = 3.13; 95% confidence interval (95%CI) = 1.77-5.51) and psychiatric disorders (OR = 5.18; 95%CI = 3.09-8.69) may be associated with increased risk of NPSs. Increased physical restraint was observed in residents with advanced PD. Genitourinary disease and psychiatric disorders appear to increase the risk of NPSs in institutionalized residents with PD.

Adversarial Patch Attacks on Deep-Learning-Based Face Recognition Systems Using Generative Adversarial Networks.

Deep learning technology has developed rapidly in recent years and has been successfully applied in many fields, including face recognition. Face recognition is used in many scenarios nowadays, including security control systems, access control management, health and safety management, employee attendance monitoring, automatic border control, and face scan payment. However, deep learning models are vulnerable to adversarial attacks conducted by perturbing probe images to generate adversarial examples, or using adversarial patches to generate well-designed perturbations in specific regions of the image. Most previous studies on adversarial attacks assume that the attacker hacks into the system and knows the architecture and parameters behind the deep learning model. In other words, the attacked model is a white box. However, this scenario is unrepresentative of most real-world adversarial attacks. Consequently, the present study assumes the face recognition system to be a black box, over which the attacker has no control. A Generative Adversarial Network method is proposed for generating adversarial patches to carry out dodging and impersonation attacks on the targeted face recognition system. The experimental results show that the proposed method yields a higher attack success rate than previous works.

Risk of cognitive impairment from exposure to incense smoke.

Incense is aromatic biotic material that releases fragrant smoke when burned. We aim to investigate the cognition risks from incense smoke. We obtained data from Taiwan Biobank in community. Cognition function was assessed by mini-mental state examination (MMSE). There were 978 participants in our study, including incense exposure (N = 131) and without incense exposure (N = 847). MMSE scores and registration sub-scores were lowered in incense exposure group than the other group. Incense exposure is one of the independent risk factors for cognitive decline in MMSE and registration sub-scores after adjusting confounding factors We concluded the risk of cognitive impairment, with predominant in registration in healthy individuals with incense exposure in community.

Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies.

The most popular tools for predicting pathogenicity of single amino acid variants (SAVs) were developed based on sequence-based techniques. SAVs may change protein structure and function. In the context of van der Waals force and disulfide bridge calculations, no method directly predicts the impact of mutations on the energies of the protein structure. Here, we combined machine learning methods and energy scores of protein structures calculated by Rosetta Energy Function 2015 to predict SAV pathogenicity. The accuracy level of our model (0.76) is higher than that of six prediction tools. Further analyses revealed that the differential reference energies, attractive energies, and solvation of polar atoms between wildtype and mutant side-chains played essential roles in distinguishing benign from pathogenic variants. These features indicated the physicochemical properties of amino acids, which were observed in 3D structures instead of sequences. We added 16 features to Rhapsody (the prediction tool we used for our data set) and consequently improved its performance. The results indicated that these energy scores were more appropriate and more detailed representations of the pathogenicity of SAVs.

Pharmacological Management of Dysphagia in Patients with Alzheimer's Disease: A Narrative Review.

Alzheimer's disease (AD) and dysphagia are important health and socioeconomic problems in the aging population. Currently, the medical treatment of dysphagia in AD patients remains insufficient, and there are significant gaps in the management and clinical needs to postpone tube feeding. Literatures published over the last 30 years were searched in the PubMed and Embase databases. All relevant and promising pharmacological management studies were included. Because of the heterogeneity in design and methodology, only narrative reports were mentioned. Nine studies were included with two case reports, two case series, and two observational and three randomized controlled trials. The key approaches and clinical problems related to dysphagia include onset pattern, dementia stage, review of offending drugs and polypharmacy, and comorbidities (cerebrovascular disease, hypertension, parkinsonism, depression, and anorexia). The corresponding strategies of pharmacological treatments are further proposed and discussed comprehensively, with transient receptor potential channel modulators as promising treatment. With the integration of adequate and potential pharmacomanagement, AD patients with dysphagia can achieve a good prognosis and postpone tube feeding to maintain a better quality of life. More rigorous studies are needed to verify the effectiveness of innovative strategies and develop targets for neurostimulation.

Gamma Frequency Inhibits the Secretion and Aggregation of Amyloid-ß and Decreases the Phosphorylation of mTOR and Tau Proteins in vitro.

BACKGROUND: Alzheimer's disease (AD) was the main cause of dementia in an aging society; unfortunately, there is no effective treatment for AD now. Meditation has been reported to thicken the cerebral cortex, and gamma wave at a frequency of 40 hertz (Hz) was recorded during the meditation process from the brain. Previous study showed that non-invasive scintillation gamma frequency oscillation increased the space in recognition and memory of auditory cortex hippocampal gyrus in AD mice model. However, the AD-related molecular change by exposure of 40 Hz gamma frequency in brain cells was still unclear. OBJECTIVE: We investigated the AD-related molecular change by exposure of 40 Hz gamma frequency in SH-SY5Y cells. METHODS: We designed the light and sound generators at 40 Hz gamma frequency for this study. SH-SY5Y cells were exposed to sound or light of 40 Hz gamma frequency, respectively. The concentrations of amyloid-ß40 (Aß40) and amyloid-ß42 (Aß42) were quantified by enzyme-linked immunosorbent assay. The protein levels were examined by Western blotting. The aggregation of Aß42 was examined by thioflavin T assay. RESULTS: Our results showed that the secretion of Aß, phosphorylation of AKT, mTOR, and tau, and aggregation of Aß42 were significantly inhibited by 40 Hz gamma frequency in SH-SY5Y cells. The phosphorylation of 4E-BP1, downstream of mTOR, was induced by 40 Hz gamma frequency in SH-SY5Y cells. CONCLUSION: Our study showed 40 Hz gamma frequency involved in the inhibition of secretion and aggregation of Aß and inhibition of p-Tau protein expression through the mTOR/4E-BP1/Tau signaling pathway.

Effects of Dabigatran on Dementia Pathogenesis and Neuropsychological Function: A Review.

BACKGROUND: Patients with atrial fibrillation (AF) carry higher risks of cognitive consequences and psychological burden. An optimal anticoagulant therapy would be expected to better preserve neuropsychological function in addition to effective prevention of stroke and systemic thromboembolism. OBJECTIVE: The aim of this review is to explore the effects of the non-vitamin K antagonist oral anticoagulant (NOAC) dabigatran, a direct thrombin inhibitor, on cognitive and psychological function as well as dementia pathogenesis. METHODS: We performed a comprehensive search of PubMed/Medline for all types of relevant articles using a combination of dabigatran and associated keywords updated to August 31, 2021. All titles and abstracts were screened for eligibility, and potentially relevant papers were collected for inclusion. RESULTS: The pooled results demonstrated neutral to positive impacts of dabigatran on cognitive and psychological outcomes, including laboratory results in animal models of Alzheimer's disease, and reduced incidences of anxiety/depression and dementia for AF patients. Dabigatran also exhibited better therapeutic profiles than warfarin in preclinical and observational research. CONCLUSION: Given limited strength of evidence from heterogeneous studies, our review proposed modest beneficial effects of dabigatran on neuropsychological function. Further clinical trials are warranted to affirm the pleiotropic protective effects of NOACs on dementia treatment.

Novel Algorithm for Improved Protein Classification Using Graph Similarity.

Considerable sequence data are produced in genome annotation projects that relate to molecular levels, structural similarities, and molecular and biological functions. In structural genomics, the most essential task involves resolving protein structures efficiently with hardware or software, understanding these structures, and assigning their biological functions. Understanding the characteristics and functions of proteins enables the exploration of the molecular mechanisms of life. In this paper, we examine the problems of protein classification. Because they perform similar biological functions, proteins in the same family usually share similar structural characteristics. We employed this premise in designing a classification algorithm. In this algorithm, auxiliary graphs are used to represent proteins, with every amino acid in a protein to a vertex in a graph. Moreover, the links between amino acids correspond to the edges between the vertices. The proposed algorithm classifies proteins according to the similarities in their graphical structures. The proposed algorithm is efficient and accurate in distinguishing proteins from different families and outperformed related algorithms experimentally.

Real-world Evaluation of Tolerability, Safety and Efficacy of Rivastigmine Oral Solution in Patients with Mild to Moderate Alzheimer's Disease Dementia.

OBJECTIVE: The purpose of this study is to investigate the safety, tolerability and efficacy of titrating dose of rivastigmine oral solution in patients with mild to moderate Alzheimer's disease (AD) in Taiwan. METHODS: We recruited 108 mild to moderate AD patients with RivastⓇ (rivastigmine oral solution 2 mg/ml) treatment for 52 weeks. We recorded the demographic characteristics, initial cognition by mini-mental state examination (MMSE), initial global status by clinical dementia rating (CDR) with CDR-Sum of Boxes (CDR-SB), initial dose, and titrating dose at each visit. We investigated the adherence, proportion of possible side effects, optimal dose, and time to optimal dose. We demonstrated the proportion of cognitive decline and its possible risk factors. RESULTS: During the course, 9 patients discontinued the rivastigmine oral solution due to poor compliance or preference. Twelve out of 99 patients (12.1%) reported possible side effects. Among 87 patients, the mean age was 77.2 ± 9.0 years ago with female predominant (65.2%). The optimal dose was 3.6 ± 1.4 ml in average and 4 ml (n = 31, 35.6%) in mode. The duration to optimal dose was 12.5 ± 10.2 weeks and 24 weeks (n = 35, 40.2%) in mode. It presented 25% with cognitive decline in MMSE, 27% with global function decline in CDR and 63% with global function decline in CDR-SB. CONCLUSION: We demonstrated the clinical experience of rivastigmine oral solution in mild to moderate AD patients. It suggested rivastigmine oral solution 4ml is the optimal dose with 24 weeks to the optimal dose for at least one third of patients.

Behavioral and psychological symptoms in institutional residents with dementia in Taiwan.

AIM: Behavioral and psychological symptoms of dementia (BPSD) are important predictors for institutional placement, caregiver distress and depression for patients with dementia. We aim to investigate BPSD in institutional residents with dementia in Taiwan. METHODS: We conducted a nationwide study surveying institutional residents in Taiwan. Institutional residents from 22 counties and cities in Taiwan were recruited and analyzed in our study. We recorded demographic data, severity of dementia and disability, presence of BPSD, and past medical history of institutional residents in Taiwan. We recorded the characteristics of BPSD and analyzed the possible risks of BPSD in residents with dementia. RESULTS: A total of 4722 institutional residents were recruited and analyzed in our study. The prevalence of dementia was 87.2% (4119 residents). Among residents with dementia, 1546 (37.5%) had presented BPSD in the past 3 months. The most frequent three types of BPSD were nighttime behavior (17.9%), resistance against care (13.4%) and depression (12.9%). Old age, female gender, and lower MMSE (Mini-Mental State Examination) scores were associated with BPSD. Moderate dementia (OR = 1.73, 95% CI = 1.30-2.31) and mild activities of daily living (ADL) dependence (OR = 2.13, 95% CI = 1.06-4.27) increased the risks of BPSD. Reviews of past medical history showed that orthopedic disease, eye disease, genitourinary disease, dementia, psychiatric disorder and intellectual disability were associated with increasing risks of BPSD. CONCLUSIONS: We concluded that moderate dementia and mild ADL dependence increased the risks of BPSD in institutional residents with dementia. Geriatr Gerontol Int 2021; 21: 718-724.

The Role of Cilostazol and Inflammation in Cognitive Impairment After Ischemic Stroke.

PURPOSE: The aim of this study is to examine the potential effect of cilostazol and inflammation on cognitive impairment after stroke in an Asian population. METHODS: Forty-five patients with cognitive impairment after ischemic stroke using cilostazol were enrolled as the study group and 45 patients using aspirin or clopidogrel were enrolled as the control group. Neuropsychiatric assessments were administered at the start of the study and after 6 months. Multiple logistic regression analysis was used to estimate the association between the cognitive change and cilostazol use. Macrophage polarization were assessed using flow cytometry in 7 patients. RESULTS: There were a significantly higher number of patients with peripheral arterial occlusive disease in the cilostazol group. No significant differences were observed in the cognitive change between the cilostazol and control groups. M1 macrophage subset increment were observed in the patient having a declined cognitive change. CONCLUSION: Cilostazol did not make a significant difference in cognitive change after ischemic stroke. M1 macrophage subset increment may indicate post stroke cognitive decline. Due to limited number of subjects, these findings should be examined further in large-scale randomized clinical trials.

Poor Cognitive Function Is Associated with Obstructive Lung Diseases in Taiwanese Adults.

Previous studies have reported an association between the impairment of cognitive performance and lung diseases. However, whether obstructive or restrictive lung diseases have an impact on cognitive function is still inconclusive. We aimed to investigate the association between cognitive function and obstructive or restrictive lung diseases in Taiwanese adults using the Mini-Mental State Examination (MMSE). In this study, we used data from the Taiwan Biobank. Cognitive function was evaluated using the MMSE. Spirometry measurements of forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) were obtained to assess lung function. Participants were classified into three groups according to lung function, namely, normal, restrictive, and obstructive lung function. In total, 683 patients enrolled, of whom 357 participants had normal lung function (52.3%), 95 had restrictive lung function (13.9%), and 231 had obstructive lung function (33.8%). Compared to the normal lung function group, the obstructive lung function group was associated with a higher percentage of cognitive impairment (MMSE < 24). In multivariable analysis, a low MMSE score was significantly associated with low FVC, low FEV1, and low FEV1/FVC. Furthermore, a low MMSE score was significantly associated with low FEV1 in the participants with FEV1/FVC < 70%, whereas MMSE was not significantly associated with FVC in the participants with FEV1/FVC ≥ 70%. Our results showed that a low MMSE score was associated with low FEV1, low FVC and low FEV1/FVC. Furthermore, a low MMSE score was associated with obstructive lung diseases but not with restrictive lung diseases.

Speech and Audiology Outcomes After Single-Stage Versus Early 2-Stage Cleft Palate Repair.

PURPOSE: The timing and management of patients with cleft palates have been controversial. Early soft palate closure at the time of cleft lip repair followed by hard palate closure at a second stage has been hypothesized to improve speech and audiology outcomes. This study compares cleft palate patients who have undergone single-stage versus 2-stage cleft palate repairs and the outcomes on speech and hearing. METHODS: A retrospective chart review identified patients with diagnosis of cleft lip with complete cleft palate who underwent either single or 2-stage repair from 2006 to 2012. Data collected included age at each surgery, necessity of further speech surgery for velopharyngeal insufficiency, frequency of tympanostomy tube placement, presence of hearing loss, and speech assessment data graded per the validated Americleft speech scale. RESULTS: A total of 84 patients were identified and subdivided into groups of single-stage and 2-stage repair. The mean age at the time of single-stage palate repair was 13.3 months. For the 2-stage group, the mean ages were 4.2 and 11.8 months for the soft palate and hard palate repairs, respectively. Comparing the single-stage versus 2-stage palate repairs, there was no significant difference in all speech parameters including hypernasality, hyponasality, nasal air emission, articulation, expressive language, receptive language, speech intelligibility, and speech acceptability for both unilateral and bilateral cleft lip/palate patients. Two-stage repair was associated with increased number of tympanostomy tube placement compared with single-stage repair (relative risk, 1.74; P = 0.009), and the first set of tubes was performed at a statistically significantly younger age, 4.5 months in the 2-stage repair compared with 16.9 months in the single-stage (P = 0.012) with 87.5% performed with first stage of repair. However, there was no difference in the types, degrees of hearing loss, or the presence of at least mild conductive hearing loss at latest follow-up audiograms between the groups. CONCLUSIONS: There was no significant benefit with respect to speech or hearing outcomes between single-stage and 2-stage cleft palate repairs. This advocates for surgeon and family preference in the timing of cleft palate repair.