Social Connectedness as a Determinant of Health in African-American Low-Income Families with Young Children: A Cross-Sectional Cohort Study.

OBJECTIVE: This cross-sectional study aimed to assess the level of social connectedness (SC) in African-American low-income families with young children attending a pediatric primary care clinic and examine its relationships with food insecurity and parental well-being. METHODS: This cross-sectional analysis used data from the Healthy Children and Families program, a cohort intervention study addressing food insecurity, conducted by an urban pediatric clinic serving low-income predominantly African-American families. Twenty-seven families completed baseline screening tools, including the Social Provisions Scale five-question short form (SPS-5) to measure SC, a modified version of the United States Department of Agriculture (USDA) Household Food Security Survey Module six-item short form to assess food insecurity, and the Parental Stress Index Short Form to measure parental stress. Descriptive statistics, correlations, and partial correlations were conducted to analyze the data. RESULTS: The average SPS-5 composite score was 14.5 on a scale of 5 to 20. Moderate negative correlations were identified between SC and food insecurity, weaker when controlled for parental stress. Strong negative correlations were identified between SC and parental stress that held when controlled for food insecurity. CONCLUSION: In this study, we propose a conceptual framework highlighting the complex interplay of social connectedness with other social determinants of child health. The findings align with the 2023 Surgeon General's Advisory on the epidemic on the healing effects of social connection and provide insight into the value of incorporating SC assessments into routine screenings in pediatric primary care settings. Further research is needed to explore causal relationships and evaluate the effectiveness of interventions designed to enhance SC in diverse populations.

Impact of Preoperative Echocardiograms on In-Hospital Outcomes of Patients Undergoing Surgical Hip Fracture Repair and Their Clinical Appropriateness.

OBJECTIVES: Preoperative transthoracic echocardiograms (TTE) before hip fracture repairs are controversial. This study aimed to quantify the frequency of ordering TTE, the appropriateness of testing based on current guidelines, and the impact of TTE on in-hospital morbidity and mortality outcomes. METHODS: This retrospective chart review of adult patients admitted with hip fracture compared the length of stay (LOS), time to surgery, in-hospital mortality, and postoperative complications between TTE and non-TTE groups. TTE patients were risk stratified using the Revised Cardiac Risk Index (RCRI) to compare TTE indication according to current guidelines. RESULTS: Of the 490 patients included in this study, 15% received preoperative TTE. The median LOS of the TTE and non-TTE groups was 7.0 and 5.0 d, respectively, whereas the median time to surgery was 34 and 14 h, respectively. The odds of in-hospital mortality remained significantly higher in the TTE group after adjusting for RCRI but not when adjusted for the Charlson Comorbidity Index. Significantly more patients in the TTE groups had postoperative heart failure and up triage in the intensive care unit. Furthermore, 48% of patients with an RCRI score of 0 received preoperative TTE, with cardiac history as the most typical indication. TTE changed perioperative management in 9% of patients. CONCLUSIONS: Patients subjected to TTE before hip fracture surgery had a longer LOS and time to surgery, with higher mortality and intensive care unit up triage rates. TTE evaluations were typically conducted for inappropriate indications, which rarely made meaningful changes to patient management.

Diagnosis of hypercritical chronic pulmonary disorders using dense convolutional network through chest radiography.

Lung-related ailments are prevalent all over the world which majorly includes asthma, chronic obstructive pulmonary disease (COPD), tuberculosis, pneumonia, fibrosis, etc. and now COVID-19 is added to this list. Infection of COVID-19 poses respirational complications with other indications like cough, high fever, and pneumonia. WHO had identified cancer in the lungs as a fatal cancer type amongst others and thus, the timely detection of such cancer is pivotal for an individual's health. Since the elementary convolutional neural networks have not performed fairly well in identifying atypical image types hence, we recommend a novel and completely automated framework with a deep learning approach for the recognition and classification of chronic pulmonary disorders (CPD) and COVID-pneumonia using Thoracic or Chest X-Ray (CXR) images. A novel three-step, completely automated, approach is presented that first extracts the region of interest from CXR images for preprocessing, and they are then used to detects infected lungs X-rays from the Normal ones. Thereafter, the infected lung images are further classified into COVID-pneumonia, pneumonia, and other chronic pulmonary disorders (OCPD), which might be utilized in the current scenario to help the radiologist in substantiating their diagnosis and in starting well in time treatment of these deadly lung diseases. And finally, highlight the regions in the CXR which are indicative of severe chronic pulmonary disorders like COVID-19 and pneumonia. A detailed investigation of various pivotal parameters based on several experimental outcomes are made here. This paper presents an approach that detects the Normal lung X-rays from infected ones and the infected lung images are further classified into COVID-pneumonia, pneumonia, and other chronic pulmonary disorders with an utmost accuracy of 96.8%. Several other collective performance measurements validate the superiority of the presented model. The proposed framework shows effective results in classifying lung images into Normal, COVID-pneumonia, pneumonia, and other chronic pulmonary disorders (OCPD). This framework can be effectively utilized in this current pandemic scenario to help the radiologist in substantiating their diagnosis and in starting well in time treatment of these deadly lung diseases.

Thrombotic and Clinical Outcomes in Patients with Hematologic Malignancy and COVID-19.

BACKGROUND: Venous thromboembolism (VTE) is a common complication in acute COVID-19 and those with hematologic malignancy (HM) may be at an even higher risk. We performed a retrospective analysis of patients with history of HM and acute COVID-19 to evaluate thrombotic and clinical outcomes. METHODS: Patients with COVID-19 were identified by positive SARS-CoV-2 PCR test. Our primary endpoints were rate of VTE and CVA in patients with HM compared to the general population (GP). Secondary outcomes included composite thrombotic events (CVA + VTE), COVID-19 fatality, respiratory support, ICU admission rates, and length of ICU stay RESULTS: A total of 833 patients were evaluated, 709 in the GP cohort, 124 patients in the HM cohort. CVA was more prevalent in the HM cohort (5.4% vs. 1.6%, P = .011). Rates of VTE were numerically higher for the HM cohort (8.0% vs. 3.6%, P = .069). The composite thrombotic rate was increased in the HM cohort (13.4% vs. 5.2%, P = .005). Patients with HM had a higher inpatient fatality rate (35.5% vs. 11.3%, P < .001), required more respiratory support (74.6% vs. 46.5%, P < .001) and had a higher rate of ICU admission (31.9% vs. 12.1%, P = .001). CONCLUSION: Our data demonstrated an increased rate of composite thrombotic (CVA + VTE) outcomes, indicating HM patients with acute COVID-19 are at increased risk of thrombosis. Irrespective of disease status, HM patients also have significantly increased need for intensive care, respiratory support, and have higher fatality rates.

It takes a village: An empirical analysis of how husbands, mothers-in-law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India.

Evidence on strategies to improve infant and young child feeding in India, a country that carries the world's largest burden of undernutrition, is limited. In the context of a programme evaluation in two districts in Uttar Pradesh, we sought to understand the multiple influences on breastfeeding practices and to model potential programme influence on improving breastfeeding. A cross-sectional survey was conducted among 1,838 recently delivered women, 1,194 husbands, and 1,353 mothers/mothers-in-law. We used bivariate and multivariable logistic regression models to examine the association between key determinants (maternal, household, community, and health services) and breastfeeding outcomes [early initiation of breastfeeding (EIBF)], prelacteal feed, and exclusive breastfeeding (EBF). We used population attributable risk analysis to estimate potential improvement in breastfeeding practices. Breastfeeding practices were suboptimal: EIBF (26.3%), EBF (54%), and prelacteal feeding (33%). EIBF was positively associated with maternal knowledge, counselling during pregnancy/delivery, and vaginal delivery at a health facility. Prelacteal feeds were less likely to be given when mothers had higher knowledge, beliefs and self-efficacy, delivered at health facility, and mothers/mothers-in-law had attended school. EBF was positively associated with maternal knowledge, beliefs and self-efficacy, parity, and socio-economic status. High maternal stress and domestic violence contributed to lower EBF. Under optimal programme implementation, we estimate EIBF can be improved by 25%, prelacteal feeding can be reduced by 25%, and EBF can be increased by 23%. A multifactorial approach, including maternal-, health service-, family-, and community-level interventions has the potential to lead to significant improvements in breastfeeding practices in Uttar Pradesh.

Maternal nutrition practices in Uttar Pradesh, India: Role of key influential demand and supply factors.

Despite strong policy and program commitment, essential maternal nutrition services are not reaching enough women in many countries. This paper examined multifactorial determinants (personal, family, community, and health services) associated with maternal nutrition practices in Uttar Pradesh, India. Data were from a household survey of pregnant (n = 667) and recently delivered women (n = 1,835). Multivariable regression analyses were conducted to examine the determinants of four outcomes: consumption of diverse diets, consumption of iron folic acid (IFA) and calcium tablets, and weight monitoring during pregnancy. Population attributable risk analysis was used to estimate how much the outcomes can be improved under optimal program implementation. During pregnancy, women consumed 28 IFA and 8 calcium tablets, 18% consumed diverse diet, and 17% were weighed ≥3 times. Nutrition knowledge was associated with consumption of diverse diet (odds ratio [OR] = 2.2 times), IFA (2.3 times), calcium (11.7 times), and weight monitoring (1.3 times). Beliefs and self-efficacy were associated with IFA (OR = 2.0) and calcium consumption (OR = 4.6). Family support and adequate health services were also associated with better nutrition practices. Under optimal program implementation, we estimate that 51% of women would have adequate diet diversity, an average consumption of 98 IFA, and 106 calcium tablets, and women would be weighed 4.9 times during pregnancy. Strengthening existing program operations and increasing demand for services has the potential to result in large improvements in maternal nutrition practices from current baseline levels but may not be sufficient to meet World Health Organization-recommended levels without creating an enabling environment including improvements in education and income levels to support behaviour change.

Development of a Stand-Alone Independent Graphical User Interface for Neurological Disease Prediction with Automated Extraction and Segmentation of Gray and White Matter in Brain MRI Images.

This research presents an independent stand-alone graphical computational tool which functions as a neurological disease prediction framework for diagnosis of neurological disorders to assist neurologists or researchers in the field to perform automatic segmentation of gray and white matter regions in brain MRI images. The tool was built in collaboration with neurologists and neurosurgeons and many of the features are based on their feedback. This tool provides the user automatized functionality to perform automatic segmentation and extract the gray and white matter regions of patient brain image data using an algorithm called adapted fuzzy c-means (FCM) membership-based clustering with preprocessing using the elliptical Hough transform and postprocessing using connected region analysis. Dice coefficients for several patient brain MRI images were calculated to measure the similarity between the manual tracings by experts and automatic segmentations obtained in this research. The average Dice coefficients are 0.86 for gray matter, 0.88 for white matter, and 0.87 for total cortical matter. Dice coefficients of the proposed algorithm were also the highest when compared with previously published standard state-of-the-art brain MRI segmentation algorithms in terms of accuracy in segmenting the gray matter, white matter, and total cortical matter.

Basilic vein transposition: A viable alternative for multiple failed arteriovenous fistulas - A single center experience.

Primary use of the autogenous arteriovenous access is recommended by the National Kidney Foundation-Dialysis Outcomes Quality Initiative guidelines. In spite of troublesome comorbidities associated with basilic vein transposition (BVT), it is still the most preferred technique when autologous veins are not suitable to construct radio-cephalic fistula (RCF) and brachiocephalic fistula (BCF), arteriovenous fistula (AVF). The present study highlights our experience with BVT, with small incision technique, over a period of two years with excellent outcome. This retrospective study included all the patients who underwent BVT at our tertiary care center between March 2013 and March 2015. It was performed in patients with failed previous RCF or BCF or who had small caliber or thrombosed cephalic veins. The patients with minimum 3 mm basilic vein diameter on Doppler were only included in the study. A 3-cm horizontal incision was made in antecubital fossa to expose brachial artery and basilic vein. Multiple longitudinal separate second skin incisions (2-3 cm) were made to explore proximal part of basilic vein. Side branches of the vein were isolated and ligated. The divided basilic vein in antecubital fossa was brought over fascia through newly created subcutaneous tunnel followed by end-to-side anastomosis. A total of 18 (12 males and 6 females) underwent BVT in the two years period. The mean fistula maturation time was 42 ± 10 days. Maturation rate was 100%, and the postoperative flow rate was 290 ± 22 (mL/min). No bleeding, thrombosis, failure, pseudo aneurysm, or rupture occurred in our patients. Arm edema occurred in ix (33%) patients, infection in three (17%), and lymphorrhea in five (28%). The mean follow-up was six months. BVT is an alternative method with excellent initial maturation and functional patency rates requiring less extensive skin incision and surgical dissection. It is the most durable hemodialysis access procedure for those patients having multiple forearm AVF surgeries.

Renal stone in crossed fused renal ectopia and its laparoscopic management: Case report and review of literature.

Management of renal stone in crossed fused renal ectopia (CFRE) is difficult because of abnormal location, malrotation, and its relations with vertebral column and small bowel. Management is not standardized because of the paucity of literature and variable anatomy. We managed an 8-year-old boy with multiple renal stones in right side crossed kidney by laparoscopic pyelolithotomy and nephro pyeloscopy with the help of ureteroscope. Until now, there is only one prior report of laparoscopic pyelolithotomy in CFRE. We share our experience in this case and review the literature regarding the management of kidney stones in this rare anomaly.

Middle calyx ureterocalicostomy in ectopic pelvic kidney with ureteropelvic junction obstruction: Only alternative for renal salvage.

Anomalous kidneys are mostly asymptomatic and are often found incidentally during physical or radiological investigations for urological or other medical complaints. The associated genital anomalies ranges from 15% to 45%. Females are associated with bicornuate or unicornuate uterus, rudimentary or absent uterus while males have undescended testes, duplication of the urethra, and hypospadias. A 21 year old married female presented with on and off lower abdomen pain for the past one year with history of primary amenorrhea. On examination an ill defined tender lump palpated in the lower abdomen. USG showed left ectopic pelvic kidney with gross hydronephrosis. The computed tomography confirmed hydronephrotic left ectopic pelvic kidney in front of the sacrum with anteriorly directed renal pelvis with ureter located posteriorly. There was delayed excretion from the ectopic kidney but right kidney was in normal position and function. The diethylene triamine pentaacetic acid (DTPA) scan showed 33% function of the ectopic kidney. On diagnostic laparoscopy, the uterus was small hypoplastic with bilateral ovaries appearing normal. The patient was taken for open pyeloplasty where the ureter was transected below PUJ but for a dependent drainage, the middle calyx as was the most dependent calyx as seen on the CT-scan. So a middle calyx ureterocalicostomy was performed calyx with excellent outcome. The ectopic kidney always remains a challenge because of complex neurovascular anatomy, presence of viscera and associated UPJO, but for a dependent drainage, middle calyx ureterocalicostomy is a feasible option with excellent outcome as was in our case.

Homocysteinemia: A rare cause of priapism.

Priaprism is a persistent painful erection that continuous beyond or is unrelated to sexual stimulation. Majority of cases are idiopathic (46%), alcohol and drug related (21%), perineal trauma (12%), sickle cell anemia and hypercoagualable state related (11%). We report case of priapism caused by hyperhomocysteinemia with favorable outcome with only few cases so far reported in the literature to the best of our knowledge. A 31 year-old male referred to our institution with non resolving priaprism for the last 6 days. Immediate distal shunt (Al-ghorab) was created but it could not achieve the detumescence. The penile Doppler showed no flow into the corpora, so a proximal shunt (Quackels) was made which achieved satisfactory detumescence. On thorough evaluation for the cause of priaprism, only homocysteine level was found to be significantly raised (40.46 µmol/L), being the unusual and rare cause for priaprism. The patient was discharged on homocheck. In the follow-up the patient is on vacuum assisted device for the erectile dysfunction and has been advised for the penile implant. Priaprism being a urological emergency should be thoroughly evaluated even for the rare causes and should be timely intervened to avoid the unavoidable consequences of permanent erectile dysfunction.

Nephron-sparing surgery in case of emphysematous pyelonephritis.

Emphysematous pyelonephritis is fatal necrotizing infection where life saving emergency nephrectomy is recommended for severe cases, but we performed nephron sparing surgery. Elderly diabetic female presented with left flank pain and fever for 15 days. On examination tender lump was palpable in left lumbar region. Investigations showed hyperglycemia, leucocytosis and creatinine 3.0 mg/dl. NCCT-KUB suggested class 3B-EPN. Following emergency pigtail, a repeat CT-scan suggested upper and lower pole destruction. In open drainage both poles debrided with sparing of middle pole. Follow-up CECT-KUB showed spared kidney with normal function. No literature for nephron sparing surgery in similar cases of EPN was found.

Total endoscopic management of a large bladder leiomyoma.

Leiomyoma of the urinary bladder is a very rare entity and represents < 0.5% of all bladder tumours, with only 250 cases reported worldwide to date. We report a case of leiomyoma of the bladder 55 -year-old female presented with chief complaints lower abdomen pain since 1 year associated with intermittency, burning, frequency and hesitancy in micturation. Bimanual examination of the patient revealed a mass on the right side near the bladder neck. USG suggested a well circumscribed polypoidal soft tissue lesion seen projecting in urinary bladder lumen and attached to the posterior wall and base of bladder with no internal vascularity. On cystoscopic examination, large smooth sessile growth arising from the right postero-lateral wall was noted with right ureteric orifice not visualized. Magnetic resonance imaging showed Large well defined rounded soft tisssue lesion close to anterior surface of the cervix and vagina which was Isointense to the skeletal muscles on T1 and T2 images with small focal irregular cystic areas of necrosis seen. It could be urinary bladder neoplasm or sub serosal cervical fibroid. Transurethral resection of tumor was performed. The pathologic diagnosis was leiomyoma of the bladder. We discuss the diagnosis and management of leiomyoma of the bladder and briefly review the literature.

Detecting Bacterial Vaginosis Using Machine Learning.

Bacterial Vaginosis (BV) is the most common of vaginal infections diagnosed among women during the years where they can bear children. Yet, there is very little insight as to how it occurs. There are a vast number of criteria that can be taken into consideration to determine the presence of BV. The purpose of this paper is two-fold; first to discover the most significant features necessary to diagnose the infection, second is to apply various classification algorithms on the selected features. It is observed that certain feature selection algorithms provide only a few features; however, the classification results are as good as using a large number of features.

APPLYING MACHINE LEARNING TECHNIQUES IN DETECTING BACTERIAL VAGINOSIS.

There are several diseases which arise because of changes in the microbial communities in the body. Scientists continue to conduct research in a quest to find the catalysts that provoke these changes in the naturally occurring microbiota. Bacterial Vaginosis (BV) is a disease that fits the above criteria. BV afflicts approximately 29% of women in child bearing age. Unfortunately, its causes are unknown. This paper seeks to uncover the most important features for diagnosis and in turn employ classification algorithms on those features. In order to fulfill our purpose, we conducted two experiments on the data. We isolated the clinical and medical features from the full set of raw data, we compared the accuracy, precision, recall and F-measure and time elapsed for each feature selection and classification grouping. We noticed that classification results were as good or better after performing feature selection although there was a wide range in the number of features produced from the feature selection process. After comparing the experiments, the algorithms performed best on the medical dataset.

Ultrasonic backscattering in tissue: characterization through Nakagami-generalized inverse Gaussian distribution.

Ultrasonic tissue characterization through composite probability distributions such as Nakagami-lognormal, Nakagami-gamma, Nakagami-inverse Gaussian has been found to be useful. Such a probabilistic description also depicts heavy tails which arise from multiple scattering in tissue besides local and global variations in scattering cross-sections. A new composite probability distribution, viz. Nakagami-generalized inverse Gaussian distribution (NGIGD) with four parameters is proposed which under different limiting conditions results in approximating the known distributions. A salient aspect of the new distribution is that the probability density function (pdf) of NGIGD variate is available in closed form and is analytically tractable.

Preoperative diagnosis of renal angiomyolipoma with fine needle aspiration cytology: a report of 3 cases.

BACKGROUND: Angiomyolipoma is a rare benign neoplasm, commonly involving the kidney. Preoperative diagnosis on fine needle aspiration cytology can confirm the diagnosis, reducing the chances of unnecessary surgery. CASES: We studied cases of renal angiomyolipoma (AML) presenting within 1 year with palpable renal masses confirmed on ultrasound to be of renal origin. Fine needle aspiration cytology (FNAC) smears showed a few cohesive syncytial fragments with adipocytes, spindle cells and isolated single cells with foamy cytoplasm; a diagnosis of AML was made. The diagnosis was confirmed on histopathology, which showed mature adipose tissue, tortuous and thick-walled blood vessels lacking elastic tissue lamina and bundles of smooth muscles that seemed to emanate from the blood vessels. CONCLUSION: A preoperative diagnosis of renal AML is of great importance for correct management. In fact, when the lesion is small and asymptomatic, a conservative approach may be considered. Partial nephrectomy is possible with masses < 5 cm. Preoperative FNAC along with computed tomographic findings and immunocytochemical analysis of FNAC smears with HNB-45 can confirm the diagnosis of AML, thus preventing unindicated nephrectomy.

Study of ultrasonic echo envelope based on Nakagami-inverse Gaussian distribution.

A new probability density function (pdf) to describe the envelope of the backscattered echoes from tissues is proposed. The combined effect of multiple scattering and randomness arising from local and global variations in scattering cross-section is captured through Nakagami-inverse Gaussian distribution (NIGD). The proposed distribution has the advantage that it has a closed form unlike the realistic Nakagami-lognormal distribution (NLD). The degree of closeness, as measured in terms of Kullback-Leibler (KL) distance between two probability distributions is computed. It is shown that NIGD much more closely approximates NLD compared to Nakagami-gamma distribution (NGD) used to model such problems.