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Nevin Manimala Statistics

Magnetic resonance imaging of intracranial anomalies in pregnancies complicated by twin anemia-polycythemia sequence

Neuroradiology. 2024 May 8. doi: 10.1007/s00234-024-03373-4. Online ahead of print.

ABSTRACT

PURPOSE: To describe fetal brain Magnetic Resonance Imaging (MRI) findings in a large series of monochorionic (MC) pregnancies complicated by Twin Anemia-Polycythemia Sequence (TAPS) prenatally diagnosed, so to characterize the potential intracranial complications associated with this condition, their frequency and potential treatment options.

METHODS: This is a retrospective study of MC twin pregnancies complicated by TAPS and undergone fetal MRI in a single institution from 2006 to 2023. MRI control was performed and post-natal ultrasound (US) or MRI were available.

RESULTS: 1250 MC pregnancies were evaluated in our institution. 50 pregnancies (4%) were diagnosed with TAPS, 29 underwent a fetal brain MRI. 13/29 pregnancies (44.8%) demonstrated brain findings at MRI in at least a twin. Neuroradiological findings were detected in 14/57 twins (24.6%). We detected four main categories of findings: hemorrhagic lesions, T2-weighted white-matter hyperintensities (WMH), brain edema-swelling and venous congestion. Nineteen findings were present in the anemic and three in the polycythemic twins, with a statistically significant ratio between the two groups (p-value = 0.01). Intrauterine MRI follow-up demonstrated the sequalae of hemorrhagic lesions. A complete regression of brain swelling, veins prominence and T2-WMHs was demonstrated after treatment. Postnatal imaging confirmed prenatal features.

CONCLUSIONS: Our work demonstrates that TAPS-related MRI anomalies consisted in edematous/hemorrhagic lesions that occur mostly in anemic rather than in polycythemic twins. Fetoscopic laser surgery could have a potential decongestant role. Therefore, prenatal MRI may help in counselling and management in TAPS pregnancies, especially for the planning of therapy and the monitoring of its efficacy.

PMID:38720066 | DOI:10.1007/s00234-024-03373-4

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Nevin Manimala Statistics

Molecular pixelation: spatial proteomics of single cells by sequencing

Nat Methods. 2024 May 8. doi: 10.1038/s41592-024-02268-9. Online ahead of print.

ABSTRACT

The spatial distribution of cell surface proteins governs vital processes of the immune system such as intercellular communication and mobility. However, fluorescence microscopy has limited scalability in the multiplexing and throughput needed to drive spatial proteomics discoveries at subcellular level. We present Molecular Pixelation (MPX), an optics-free, DNA sequence-based method for spatial proteomics of single cells using antibody-oligonucleotide conjugates (AOCs) and DNA-based, nanometer-sized molecular pixels. The relative locations of AOCs are inferred by sequentially associating them into local neighborhoods using the sequence-unique DNA pixels, forming >1,000 spatially connected zones per cell in 3D. For each single cell, DNA-sequencing reads are computationally arranged into spatial proteomics networks for 76 proteins. By studying immune cell dynamics using spatial statistics on graph representations of the data, we identify known and new patterns of spatial organization of proteins on chemokine-stimulated T cells, highlighting the potential of MPX in defining cell states by the spatial arrangement of proteins.

PMID:38720062 | DOI:10.1038/s41592-024-02268-9

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Nevin Manimala Statistics

11C-Methionine uptake in meningiomas after stereotactic radiotherapy

Ann Nucl Med. 2024 May 8. doi: 10.1007/s12149-024-01932-6. Online ahead of print.

ABSTRACT

OBJECTIVE: 11C-Methionine positron emission tomography (MET-PET) is used for stereotactic radiotherapy planning in meningioma patients. The role of MET-PET during subsequent follow-up (FU) is unclear. We analyzed the uptake of 11C-Methionine before and after stereotactic radiotherapy (SRT) in patients with a complex meningioma and investigated if there was a difference between patients with progressive disease (PD) and stable disease (SD) during FU.

METHODS: This retrospective study investigates 62 MET-PETs in 29 complex meningioma patients. Standardized uptake value (SUV)max and SUVpeak tumor-to-normal ratios (T/N-ratios) were calculated, comparing the tumor region with both the mirroring intracranial area and the right frontal gray matter. The difference in 11C-Methionine uptake pre- and post-SRT was analyzed, as well as the change in uptake between PD or SD.

RESULTS: Median (IQR) FU duration was 67 months (50.5-91.0). The uptake of 11C-Methionine in meningiomas remained increased after SRT. Neither a statistically significant difference between MET-PETs before and after SRT was encountered, nor a significant difference in one of the four T/N-ratios between patients with SD versus PD with median (IQR) SUVmax T/NR front 2.65 (2.13-3.68) vs 2.97 (1.55-3.54) [p = 0.66]; SUVmax T/Nmirror 2.92 (2.19-3.71) vs 2.95 (1.74-3.60) [p = 0.61]; SUVpeak T/NR front 2.35 (1.64-3.40) vs 2.25 (1.44-3.74) [p = 0.80]; SUVpeak T/Nmirror 2.38 (1.91-3.36) vs 2.35 (1.56-3.72) [p = 0.95].

CONCLUSIONS: Our data do not support use of MET-PET during FU of complex intracranial meningiomas after SRT. MET-PET could not differentiate between progressive or stable disease.

PMID:38720053 | DOI:10.1007/s12149-024-01932-6

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Nevin Manimala Statistics

Perfusion index: could it be a new tool for early identification of pulmonary embolism severity?

Intern Emerg Med. 2024 May 8. doi: 10.1007/s11739-024-03633-4. Online ahead of print.

ABSTRACT

Perfusion index (PI) is a promising indicator for monitoring peripheral perfusion. The present study aimed to compare the efficiency of PI and PESI score in estimating the 30-day mortality and treatment needs of patients diagnosed with pulmonary embolism in the emergency department. This study was prospective and observational. The demographic features of the patients, comorbidities, vital signs, PESI score, PI, treatment applied to the patient and airway management, right ventricular diameter/left ventricular diameter ratio, length of hospital stay, outcome, and 30-day mortality were recorded. A total of 94 patients were included. All patients’ vital signs and PI values were recorded on admission. The mean pulse rate (p = 0.001) and shock index (p = 0.017) values of deceased patients were statistically significantly higher, while the mean PI (p = 0.034) was statistically significantly lower. PESI score and PI were statistically significant to predict the need for mechanical ventilation (PI, p = 0.004; PESI score, p < 0.001), inotropic treatment (PI, p = 0.047; PESI score p = 0.005), and thrombolytic therapy (PI, p = 0.035; PESI score p = 0.003). According to the ROC curve, the mortality prediction power of both PESI (AUC: 0.787, 95% CI 0.688-0.886, cutoff: 109.5, p < 0.001) and PI index (AUC: 0.668, 95% CI 0.543-0.793, cutoff: 1, p = 0.011) were determined as statistically significant. PI might be helpful in clinical practice as a tool that can be applied to predict mortality and treatment needs in PE.

PMID:38720051 | DOI:10.1007/s11739-024-03633-4

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Nevin Manimala Statistics

Antibiotic prophylaxis may effectively reduce early failures after beginner-conducted dental implant surgery

Evid Based Dent. 2024 May 8. doi: 10.1038/s41432-024-01011-9. Online ahead of print.

ABSTRACT

STUDY DESIGN: A randomized, double-blind, placebo-controlled clinical trial.

OBJECTIVE: To assess the impact of antibiotic prophylaxis on postoperative recovery and implant short-term survival in clinically healthy patients who underwent placement of 2-4 dental implants by inexperienced operators.

METHODS: The study adhered to the ethical guidelines of the Helsinki declaration, and followed the CONSORT protocol for randomized controlled trials (RCTs). Signed consent forms were provided by all patients. Included were healthy individuals aged over 18 years, with sufficient and fully healed alveolar ridge (undergone extraction at least 3 months prior), requiring placement of 2-4 dental implants, and were classified as ASA I or II. Exclusion criteria were: systemic diseases, hypersensitivity to penicillin, pregnancy or lactation, smoking, recent antibiotic usage, and history of periodontitis. Patients were randomly allocated into 2 groups: the antibiotic group received 1 g of amoxicillin one hour before surgery, while the placebo group was given starch-filled capsules that looked identical to the antibiotic. All implants were installed through 2-stage procedures by students of a specialization course in implant surgery, employing a standardized procedure and armamentarium. Each patient was evaluated preoperatively, and at 2 days and 7 days postoperatively, for the following parameters: mouth opening, experienced pain (using a visual analog scale), and signs of infection (fistula, wound ulceration, tissue necrosis, flap dehiscence, and purulent exudates). Implant survival was monitored for up to 90 days after implant surgery.

RESULTS: A total of 90 patients (224 implants) were included: 43 patients (108 implants) in the antibiotic group, and 47 patients (116 implants) in the placebo group. Overall, there were 58 women and 32 men, aged from 23 to 70 years old. In terms of mouth opening, pain, and infection parameters, no statistically significant differences were observed between the groups at any of the time points evaluated. Similarly, there was no statistically significant difference regarding antibiotic usage and implant loss at the patient level (p = 0.06). However, at the implant level, significantly higher implant loss rate was noted in the placebo group (14.9%) compared to the antibiotic group (2.3%) [p < 0.05].

CONCLUSION: Prophylactic antibiotic administration effectively reduced the occurrence of implant loss after implant surgery performed by inexperienced practitioners.

PMID:38720022 | DOI:10.1038/s41432-024-01011-9

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Nevin Manimala Statistics

Markovian Approach for Exploring Competitive Diseases with Heterogeneity-Evidence from COVID-19 and Influenza in China

Bull Math Biol. 2024 May 8;86(6):71. doi: 10.1007/s11538-024-01300-5.

ABSTRACT

Due to the complex interactions between multiple infectious diseases, the spreading of diseases in human bodies can vary when people are exposed to multiple sources of infection at the same time. Typically, there is heterogeneity in individuals’ responses to diseases, and the transmission routes of different diseases also vary. Therefore, this paper proposes an SIS disease spreading model with individual heterogeneity and transmission route heterogeneity under the simultaneous action of two competitive infectious diseases. We derive the theoretical epidemic spreading threshold using quenched mean-field theory and perform numerical analysis under the Markovian method. Numerical results confirm the reliability of the theoretical threshold and show the inhibitory effect of the proportion of fully competitive individuals on epidemic spreading. The results also show that the diversity of disease transmission routes promotes disease spreading, and this effect gradually weakens when the epidemic spreading rate is high enough. Finally, we find a negative correlation between the theoretical spreading threshold and the average degree of the network. We demonstrate the practical application of the model by comparing simulation outputs to temporal trends of two competitive infectious diseases, COVID-19 and seasonal influenza in China.

PMID:38719993 | DOI:10.1007/s11538-024-01300-5

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Nevin Manimala Statistics

Risk assessment for pancreatic fistula by intraoperative image analysis of laparoscopic and robotic gastrectomy

Surg Endosc. 2024 May 8. doi: 10.1007/s00464-024-10856-1. Online ahead of print.

ABSTRACT

BACKGROUND: Pancreatic fistula (PF) is one of the most serious postoperative complications of gastrectomy. Misidentification of the boundary between the pancreas and the dissected fat is a primary concern. In this study, we focused on differences in the appearance of the pancreas and the dissected fat in actual surgical images and statistically analyzed the relationship between the pancreas and the dissected fat.

METHODS: We analyzed data from 109 gastric cancer patients who underwent curative gastrectomy between November 2018 and March 2023. Intraoperative images were taken from videos of lymph node dissections of Nos.6 and 8a regions, and the mean gray value of the areas was measured using ImageJ software for analysis. The visceral fat area (VFA) was evaluated by preoperative axial CT at the umbilical level using Ziostation software.

RESULTS: A significant correlation was observed between the fat/pancreas gray value ratio in the No.8a lymph node region and the drain/serum amylase ratio (P < 0.001). The fat/pancreas gray value ratio in the No.6 lymph node region correlated with VFA (P < 0.001). The VFA and drain/serum amylase ratio were significantly higher in the group with intra-abdominal complications (P = 0.004).

CONCLUSIONS: We revealed significant relationships between the fat/pancreas gray value ratio with drain/serum amylase and VFA. Detecting differences in gray values between the pancreas and the dissected fat may lead to a decrease in the drain/serum amylase ratio and PF.

PMID:38719986 | DOI:10.1007/s00464-024-10856-1

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Nevin Manimala Statistics

Evaluation of the immune system status and hematological dyscrasias, among amphetamine and cannabis abusers at Eradah Hospital in Qassim, Saudi Arabia

Sci Rep. 2024 May 8;14(1):10600. doi: 10.1038/s41598-024-61182-4.

ABSTRACT

This cross-sectional study aims to evaluate the immune system status and hematological disturbances among individuals who abuse amphetamines and cannabis. Substance abuse, particularly of amphetamines and cannabis, has been associated with various adverse effects on the body, including potential impacts on the immune system and hematological parameters. However, limited research has been conducted to comprehensively assess these effects in a cross-sectional design. Additionally, fungal infections are on the rise internationally, and immune-compromised people are particularly susceptible. The study will recruit a sample of amphetamine and cannabis abusers (n = 50) at the Eradah Hospital in the Qassim Region of Buraydah and assess their sociodemographic and biochemical variables, including blood indices and differential WBC indices, liver, and kidney profiles. Additionally, 50 sputum samples in total were cultured for testing for fungus infections. To obtain the descriptive statistics, the data was imported into Microsoft Excel and subjected to statistical analysis using SPSS 22.0. Amphetamine and cannabis abuser’s sociodemographic variables analysis observed that the majority (52%) were aged 18-30, with 56% in secondary school. Unemployment was a significant issue, and most had no other health issues. The majority (50%) had 5-10 years of abuse, while 32% had less than 5 years, and only 18% had been drug abusers for more than 10 years. There were significant changes (p < 0.001) in all different leukocyte blood cells, including neutrophils, lymphocytes, monocytes, eosinophils, and basophils. Furthermore, a microscopic examination of blood films from individuals who misuse the combination of the medications “amphetamine and cannabis” reveals hazardous alterations in Neutrophils. Out of 50, 35 sputum samples showed positive growth on Sabouraud dextrose agar (SDA) with chloramphenicol antibiotic, indicating a unicellular fungal growth. The present study explores the immune system and hematological disturbances linked to amphetamine and cannabis abuse, providing insights into health risks and targeted interventions. The findings complement previous research on drug users’ hematological abnormalities, particularly in white blood cells. Routine hematological tests help identify alterations in homeostatic conditions, improving patient knowledge and preventing major issues. Further research is needed on multi-drug abuse prevention, early detection, and intervention. The cross-sectional design allows for a snapshot of the immune system and hematological status among abusers, laying the groundwork for future longitudinal studies. Key Words: Drug Effect, Immunity, Epidemiology, Oxidative Stress, Inflammation.

PMID:38719969 | DOI:10.1038/s41598-024-61182-4

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Nevin Manimala Statistics

Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test

Sci Rep. 2024 May 8;14(1):10598. doi: 10.1038/s41598-024-61070-x.

ABSTRACT

A popular and widely suggested measure for assessing unilateral hand motor skills in stroke patients is the box and block test (BBT). Our study aimed to create an augmented reality enhanced version of the BBT (AR-BBT) and evaluate its correlation to the original BBT for stroke patients. Following G-power analysis, clinical examination, and inclusion-exclusion criteria, 31 stroke patients were included in this study. AR-BBT was developed using the Open Source Computer Vision Library (OpenCV). The MediaPipe’s hand tracking library uses a palm and a hand landmark machine learning model to detect and track hands. A computer and a depth camera were employed in the clinical evaluation of AR-BBT following the principles of traditional BBT. A strong correlation was achieved between the number of blocks moved in the BBT and the AR-BBT on the hemiplegic side (Pearson correlation = 0.918) and a positive statistically significant correlation (p = 0.000008). The conventional BBT is currently the preferred assessment method. However, our approach offers an advantage, as it suggests that an AR-BBT solution could remotely monitor the assessment of a home-based rehabilitation program and provide additional hand kinematic information for hand dexterities in AR environment conditions. Furthermore, it employs minimal hardware equipment.

PMID:38719940 | DOI:10.1038/s41598-024-61070-x

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Nevin Manimala Statistics

Development of a clinical calculator to aid the identification of MODY in pediatric patients at the time of diabetes diagnosis

Sci Rep. 2024 May 8;14(1):10589. doi: 10.1038/s41598-024-60160-0.

ABSTRACT

Maturity Onset Diabetes of the Young (MODY) is a young-onset, monogenic form of diabetes without needing insulin treatment. Diagnostic testing is expensive. To aid decisions on who to test, we aimed to develop a MODY probability calculator for paediatric cases at the time of diabetes diagnosis, when the existing “MODY calculator” cannot be used. Firth logistic regression models were developed on data from 3541 paediatric patients from the Swedish ‘Better Diabetes Diagnosis’ (BDD) population study (n = 46 (1.3%) MODY (HNF1A, HNF4A, GCK)). Model performance was compared to using islet autoantibody testing. HbA1c, parent with diabetes, and absence of polyuria were significant independent predictors of MODY. The model showed excellent discrimination (c-statistic = 0.963) and calibrated well (Brier score = 0.01). MODY probability > 1.3% (ie. above background prevalence) had similar performance to being negative for all 3 antibodies (positive predictive value (PPV) = 10% v 11% respectively i.e. ~ 1 in 10 positive test rate). Probability > 1.3% and negative for 3 islet autoantibodies narrowed down to 4% of the cohort, and detected 96% of MODY cases (PPV = 31%). This MODY calculator for paediatric patients at time of diabetes diagnosis will help target genetic testing to those most likely to benefit, to get the right diagnosis.

PMID:38719926 | DOI:10.1038/s41598-024-60160-0