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1.
BMJ Case Rep ; 17(7)2024 Jul 05.
Article in English | MEDLINE | ID: mdl-38969392

ABSTRACT

Sotos syndrome is a disorder characterised by distinctive facial features, excessive growth during childhood and intellectual disability. While these criteria apply to children and adults, they fall short when applied to neonates. Hyperbilirubinaemia, large for gestational age, hypotonia and seizures, along with cardiac and renal anomalies, are known to be common presentations in neonates. Reports have also added hyperinsulinaemic hypoglycaemia as a presenting feature of Sotos syndrome in neonates. Here, we report a case of Sotos syndrome in a neonate who presented in the neonatal period with recurrent apnoeic episodes with hypotonia, which were later attributed to severe gastro-oesophageal reflux.


Subject(s)
Gastroesophageal Reflux , Sotos Syndrome , Humans , Gastroesophageal Reflux/diagnosis , Gastroesophageal Reflux/complications , Infant, Newborn , Sotos Syndrome/diagnosis , Sotos Syndrome/complications , Male , Female , Muscle Hypotonia/etiology , Muscle Hypotonia/diagnosis
2.
Article in English | MEDLINE | ID: mdl-38907854

ABSTRACT

PURPOSE: The assessment of cardiac performance in septic new-borns is crucial for detecting hemodynamic instability and predicting outcome. The aim of the study is to assess myocardial performance in neonates with sepsis for the early identification of cardiac dysfunction. PATIENTS AND METHODS: A case control study was carried out from September 2022 to May 2023 at the Neonatal Intensive care unit, Kasturba Medical College, Manipal. A total of 68 neonates were included in the study, with 33 females and 35 males. The study population was further subdivided into 3 groups namely preterm septic neonates (n = 21), term septic neonates (n = 10) and non-septic healthy controls (n = 37). The cardiac structure and function were assessed using conventional method, Tissue Doppler imaging (Sm) and speckle tracking echocardiography (GLS). The study was approved by the Institutional Ethics Committee at Kasturba Medical College, Manipal (approval number IEC: 90/2022). The CTRI registration number for the study is CTRI/2022/09/045437 and was approved on September 12, 2022. Prior to the neonate's enrolment, informed consent was obtained from their mothers or legal guardians. RESULTS: Out of the total 68 neonates, 31 were cases and 37 were controls which included 33 females and 35 males. LV systolic function was not statistically significant between cases and controls. E/A ratio of the mitral valve was significantly lower in septic newborns than in healthy neonates. (1.01 ± 0.35 vs 1.18 ± 0.31, p < 0.05) preterm neonates showed significantly lower Lateral E' and RV E' velocities than term neonates. TAPSE was significantly lower in septic preterm neonates. (8.61 ± 1.28 vs. 10.7 ± 2.11, p < 0.05) No significant difference was noted in the Myocardial Performance Index between septic neonates and healthy neonates. LV Global Longitudinal Strain was slightly lower in preterm septic neonates than in term neonates with sepsis. CONCLUSION: Septic newborns are associated with LV diastolic dysfunction, RV systolic dysfunction and substantially higher pulmonary systolic pressures.

3.
BMJ Case Rep ; 17(2)2024 Feb 21.
Article in English | MEDLINE | ID: mdl-38383127

ABSTRACT

An infant was admitted with suspected postinfectious malabsorption with watery diarrhoea, fever and failure to thrive. She had dehydration, acute kidney injury and metabolic acidosis, which were corrected with intravenous fluids and managed with empiric antibiotics and prophylactic antifungals. She also developed Escherichia coli sepsis, meningitis and Candida skin infections during hospitalisation, which were treated according to the culture reports. Intrauterine growth restriction, woolly hair and a broad nasal bridge with chronic refractory diarrhoea prompted genetic testing to rule out syndromic diarrhoea. Whole-exome sequencing revealed a pathogenic compound heterozygous mutation causing trichohepatoenteric syndrome. She succumbed to severe infections at 80 days of life. The condition is rare, and no established guidelines or specific treatments exist; the focus is to promote optimal growth through parenteral nutrition, elemental formula and infection control. Early suspicion and molecular genetic testing can help reduce the time to diagnosis, treatment and genetic counselling.


Subject(s)
Diarrhea, Infantile , Facies , Hair Diseases , Infant , Female , Humans , Fetal Growth Retardation/genetics , Diarrhea/diagnosis , Diarrhea, Infantile/diagnosis , Diarrhea, Infantile/therapy , Diarrhea, Infantile/genetics , Hair Diseases/genetics
4.
Indian J Pediatr ; 2024 Jan 11.
Article in English | MEDLINE | ID: mdl-38206546

ABSTRACT

OBJECTIVES: To assess the growth pattern of preterm, very low birth weight (VLBW) appropriate for gestational age (AGA) infants on three different feeding regimens. METHODS: This prospective open label three-arm parallel randomized controlled trial was conducted at neonatal intensive care unit, Kasturba Hospital, Manipal. One hundred twenty VLBW (weight between 1000-1500 g and gestational age 28-32 wk) preterm AGA infants admitted from April 2021 through September 2022 were included. Three feeding regimens were compared: Expressed breast milk (EBM); EBM supplemented with Human milk fortifier (HMF); EBM supplemented with Preterm formula feed (PTF). Primary outcome measure was assessing the growth parameters such as weight, length, head circumference on three different feeding regimens at birth 2, 3, 4, 5 and 6 wk/discharge. Secondary outcomes included incidence of co-morbidities and cost-effectiveness. RESULTS: Of 112 infants analyzed, Group 2 supplemented with HMF showed superior growth outcomes by 6th wk/discharge of intervention, with mean weight of 2053±251 g, mean length of 44.6±1.9 cm, and mean head circumference of 32.9±1.4 cm. However, infants in Group 3, supplemented with PTF, registered mean weight of 1968±203 g, mean length of 43.6±2.0 cm, and mean head circumference of 32.0±1.6 cm. Infants exclusively on EBM presented with mean weight of 1873±256 g, mean length of 43.0±2.0 cm and mean head circumference of 31.4±1.6 cm. CONCLUSIONS: Addition of 1 g of HMF to 25 ml of EBM in neonates weighing 1000-1500 g showed better weight gain and head circumference at 6 wk/discharge, which was statistically significant. However, no significant differences in these parameters were observed at postnatal or 2, 3, 4, and 5 wk.

5.
J Obstet Gynecol Neonatal Nurs ; 53(2): 185-196, 2024 03.
Article in English | MEDLINE | ID: mdl-38134967

ABSTRACT

OBJECTIVE: To assess the effect of the Neonatal Nurse Navigator Program (NNNP) compared to usual care on maternal stress and neonatal salivary cortisol level (SCL) in the NICU. DESIGN: Randomized control trial. SETTING: NICU in a tertiary health care hospital in Manipal, Udupi District, Karnataka, India. PARTICIPANTS: Neonates between 34 and 36 weeks gestation and their mothers (N = 120 dyads). METHODS: We used block randomization to assign dyads to the intervention or control group. We measured maternal stress using the Parental Stress Scale: Neonatal Intensive Care Unit, and we estimated neonatal stress by measuring SCLs within 24 hours of NICU admission and before discharge from the unit. We conducted a descriptive analysis on participant characteristics and reported maternal stress levels using means and standard deviations. We used the analysis of covariance change score test to determine the difference in maternal and neonatal stress levels between the intervention and control groups. RESULTS: The NNNP group exhibited significantly lower maternal stress scores before discharge than the control group, and we observed reductions across all three subscales of the Parental Stress Scale: Neonatal Intensive Care Unit. Mean neonatal salivary cortisol levels were significantly lower in the interventional group than in the control group, F(1.117) = 24.03, 95% confidence interval [7.9, 18.6], p < .001. CONCLUSION: Use of the NNNP reduced maternal stress SCLs in high-risk neonates by actively engaging mothers in the care of their neonates in the NICU. We recommend adoption of the NNNP model as a standard care policy in NICUs throughout India.


Subject(s)
Infant, Premature , Nurses, Neonatal , Infant, Newborn , Female , Humans , Hydrocortisone , Stress, Psychological/prevention & control , India , Mothers , Intensive Care Units, Neonatal
6.
Med Pharm Rep ; 96(1): 35-40, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36818325

ABSTRACT

Background and aim: Inappropriate use of antibiotics may increase antimicrobial resistance (AMR) among different microorganisms and may lead to treatment failure in neonatal septicemia. The aim of this study was to recognize the most common microorganisms responsible for neonatal sepsis and to evaluate the trend of change of resistance pattern among microorganisms. Methods: This study was done retrospectively on 344 cases diagnosed with neonatal sepsis, including both early and late onset cases, admitted to the tertiary care teaching hospital of southern India from January 2012 to July 2017. Accordingly, 231 culture positive neonatal sepsis cases were collected from hospital data base and analyzed. Culture positive cases within 72 hours of life were termed as early onset while after 72 hours were late onset. Antibiotics utilization during the period was calculated using WHO AMC tool and reported as (DDD)/100 bed days. Results: Klebsiella pneumoniae with 56 (21.8%) and Coagulase negative Staphylococcus with 52 (20.2%) cases were the most frequent isolated organisms which were responsible for 55.8% and 14.6% of deaths among the study subjects respectively. Amikacin (86.7%), vancomycin (52.3%) and ampicillin (40.6%) were the most used antibiotics in terms of DDD/100 bed days. Conclusion: The results obtained from our study have brought substantial information on the antibiotic resistance pattern among microorganisms causing neonatal sepsis. Moreover, results obtained from this study can be used for designing antibiotic stewardship policies to prevent the emergence of resistance and to improve the treatment outcome.

7.
Med Pharm Rep ; 95(3): 282-289, 2022 Jul.
Article in English | MEDLINE | ID: mdl-36060509

ABSTRACT

Background and aim: Risk factor-based approach is one of the best approaches employed by middle income countries which are not well facility driven for any disease management. Thus, through this approach, we aim to identify the potential risk factors responsible for the poor outcome in neonatal sepsis. Methods: A case control was conducted retrospectively with neonates admitted to Neonatal Intensive Care Unit during January 2012 to December 2016. Cases were identified using ICD-10 Code from inpatient medical records and demographic, maternal and neonatal details were collected from the medical files. Logistic regression was performed to identify the risk factors associated with mortality in neonatal sepsis. Results: A total of 613 neonates were found to have culture positive sepsis from the 4690 neonates admitted in the Neonatal Intensive Care Unit (NICU). There was a total of 831 episodes in the 613 neonates. The mortality rate in neonates with sepsis was found to be 25.4%. Extremely low birth weight (OR 6.171, CI 3.475-10.957), extreme preterm (OR 5.761, CI 2.612-12.708), very preterm (OR 2.548, CI 1.607-4.042), preeclampsia (OR 1.671, CI 1.091-2.562), acute renal failure (OR 4.939, CI-2.588-9.426), coagulopathy (OR 2.211, CI-1.486-3.289), septic shock (OR 173.522, CI-23.642-1273.59), thrombocytopenia (OR 5.231, CI-3.310-8.268), leukopenia (OR 2.422, CI- 1.473-3.984), CRP > 24 (OR 2.099, CI-1.263-3.487) and abnormal absolute neutrophil count (OR 2.108, CI-1.451-3.062) were some of the significant predictors, identified through risk-based approach, in assessing mortality in neonatal sepsis. Conclusion: Risk-based approach applied was successful in determining plausible important predictors such like extreme low birth weight, extreme preterm, resistance against gram negative infections, preeclampsia, septic shock, hypotension, leukopenia, neutropenia, thrombocytopenia in predicting mortality in neonatal sepsis. These potential risk factors, identified through risk- based approach, can play a pivotal role in assisting clinician to make appropriate and judicious decision.

8.
Int J Neonatal Screen ; 8(2)2022 Mar 29.
Article in English | MEDLINE | ID: mdl-35466197

ABSTRACT

India, a country with the second largest population in the world, does not have a national newborn screening programme as part of its health policy. With funding support from the Grand Challenges Canada, a pilot newborn screening programme was implemented for the Udupi district of South India to study the need and viability of a national programme in India. Six disorders were selected for the study based on the availability of funding and recommendation from pediatricians in the district. Here, we report the observed incidence during the study. A cost-effectiveness analysis of implementing newborn screening in India was performed. It is evident from our analysis that the financial loss for the nation due to these preventable diseases is much higher than the overall expenditure for screening, diagnosis, and treatment. This cost-effectiveness analysis justifies the need for a national newborn screening programme in India.

9.
World J Pediatr ; 18(3): 160-175, 2022 03.
Article in English | MEDLINE | ID: mdl-34984642

ABSTRACT

BACKGROUND: Prediction modelling can greatly assist the health-care professionals in the management of diseases, thus sparking interest in neonatal sepsis diagnosis. The main objective of the study was to provide a complete picture of performance of prediction models for early detection of neonatal sepsis. METHODS: PubMed, Scopus, CINAHL databases were searched and articles which used various prediction modelling measures for the early detection of neonatal sepsis were comprehended. Data extraction was carried out based on Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. Extricate data consisted of objective, study design, patient characteristics, type of statistical model, predictors, outcome, sample size and location. Prediction model Risk of Bias Assessment Tool was applied to gauge the risk of bias of the articles. RESULTS: An aggregate of ten studies were included in the review among which eight studies had applied logistic regression to build a prediction model, while the remaining two had applied artificial intelligence. Potential predictors like neonatal fever, birth weight, foetal morbidity and gender, cervicovaginitis and maternal age were identified for the early detection of neonatal sepsis. Moreover, birth weight, endotracheal intubation, thyroid hypofunction and umbilical venous catheter were promising factors for predicting late-onset sepsis; while gestational age, intrapartum temperature and antibiotics treatment were utilised as budding prognosticators for early-onset sepsis detection. CONCLUSION: Prediction modelling approaches were able to recognise promising maternal, neonatal and laboratory predictors in the rapid detection of early and late neonatal sepsis and thus, can be considered as a novel way for clinician decision-making towards the disease diagnosis if not used alone, in the years to come.


Subject(s)
Neonatal Sepsis , Sepsis , Artificial Intelligence , Birth Weight , Gestational Age , Humans , Infant, Newborn , Neonatal Sepsis/diagnosis , Sepsis/diagnosis , Systematic Reviews as Topic
10.
Pediatr Res ; 92(1): 249-254, 2022 07.
Article in English | MEDLINE | ID: mdl-34493833

ABSTRACT

BACKGROUND: Therapeutic hypothermia (TH) is the treatment of choice for neonates diagnosed with perinatal asphyxia (PA). Dosing recommendations of various therapeutic agents including antimicrobials were not specifically available for the neonates undergoing TH. METHODS: A systematic search methodology was used to identify pharmacokinetic (PK) studies of antimicrobials during TH. Antimicrobials with multiple PK studies were identified to create a generalizable PK model. Pharmacometric simulations were performed using the PUMAS software platform to reproduce the results of published studies. A suitable model that could reproduce the results of all other published studies was identified. With the help of a generalizable model, an optimal dosage regimen was designed considering the important covariates of the identified model. RESULTS: With the systematic search, only gentamicin had multiple PK reports during TH. A generalizable model was identified and the model predictions could match the reported/observed concentrations of publications. Birth weight and serum creatinine were the significant covariates influencing the PK of gentamicin in neonates. A dosage nomogram was designed using pharmacometric simulations to maintain gentamicin concentrations below 10 µg/mL at peak and below 2 µg/mL at trough. CONCLUSIONS: A generalizable PK model for gentamicin during TH in neonates was identified. Using the model, a dosing nomogram for gentamicin was designed. IMPACT: Dosing guidelines for antimicrobials during TH in neonates is lacking. This is the first study to identify the generalizable model for gentamicin during TH in neonates. Nomogram, proposed in the study, will aid the clinicians to individualize gentamicin dosing regimen for neonates considering the birth weight and serum creatinine.


Subject(s)
Anti-Bacterial Agents , Hypothermia, Induced , Anti-Bacterial Agents/therapeutic use , Birth Weight , Creatinine , Female , Gentamicins , Humans , Hypothermia, Induced/methods , Infant, Newborn , Pregnancy
11.
Public Health Nurs ; 39(1): 296-302, 2022 01.
Article in English | MEDLINE | ID: mdl-34889469

ABSTRACT

Mobile health (mHealth) solutions are being widely explored in low- and middle-income countries (LMICs) due to its scope in reducing the healthcare access gap and improving health outcomes. The fit of mHealth solutions to specific users and their viability in a particular setting plays a significant role in the successful adoption and sustainable implementation. This article describes the process of designing a sustainable mHealth application for delivering preterm home care to babies discharged from the neonatal intensive care unit (NICU) in India. Intended end-users are the parents, who are primary caregivers at home, especially mothers of preterm babies and healthcare providers who cared for them at the hospital. This mHealth application is designed to facilitate continuity of care for these preterm babies transitioning from an intensive healthcare setting to home with unique and complex health care needs. It is equipped to remotely monitor the growth and development for early detection of growth impairment and developmental delay often seen in preterm babies in their early years. Therefore, a mHealth application was designed applying a relevant conceptual framework for successful adoption and an ecological model for sustainability in the Indian setting.


Subject(s)
Home Care Services , Mobile Applications , Telemedicine , Female , Humans , Infant , Infant, Newborn , Mothers , Parents
12.
Indian Pediatr ; 58(11): 1059-1061, 2021 Nov 15.
Article in English | MEDLINE | ID: mdl-34837367

ABSTRACT

BACKGROUND: Neonatal pneumonia remains a significant contributor to infant mortality in India and responsible for increased prevalence of infant deaths globally. OBJECTIVE: To identify risk factors associated with neonatal pneumonia and its mortality in India. STUDY DESIGN: A systematic review was conducted including both analytic study designs and descriptive study designs, which reported a quantitative analysis of factors associated with all the three types of pneumonia among neonates. The search was conducted from August to December, 2016 on the following databases; CINAHL, EMBASE, Ovid MEDLINE, PubMed, ProQuest, SCOPUS, Web of Science, WHO IMSEAR and IndMED. The search was restricted to Indian setting. PARTICIPANTS: The population of interest was neonates. OUTCOMES: The outcome measures included risk factors for incidences and mortality predictors of neonatal pneumonia. These could be related to neonate, maternal and pregnancy, caregiver, family, environment, healthcare system, iatrogenic and others. RESULTS: A total of three studies were included. For risk factors, two studies on ventilator-associated pneumonia were included with 194 neonates; whereas for mortality predictors, only one study with 150 neonates diagnosed with pneumonia was included. 11 risk factors were identified from two studies: duration of mechanical ventilation, postnatal age, birth weight, prematurity, sex of the neonate, length of stay in NICU, primary diagnosis, gestational age, number of re-intubation, birth asphyxia, and use of nasogastric tube. Meta-analysis with random-effects model was possible only for prematurity (<37 week) and very low birth weight (<1500 g) and very low birth weight was found to be significant (OR 5.61; 95% CI 1.76, 17.90). A single study was included on predictors of mortality. Mean alveolar arterial oxygen gradient (AaDO2) >250 mm Hg was found to be the single most significant predictor of mortality due to pneumonia in neonates. CONCLUSION: The study found scant evidence from India on risk factors of neonatal pneumonia other than ventilator-associated pneumonia.


Subject(s)
Infant, Premature, Diseases , Pneumonia, Ventilator-Associated , Female , Humans , Infant , Infant Mortality , Infant, Low Birth Weight , Infant, Newborn , Pregnancy , Respiration, Artificial
14.
Clin Genet ; 100(5): 542-550, 2021 11.
Article in English | MEDLINE | ID: mdl-34302356

ABSTRACT

Genetic disorders with predominant central nervous system white matter abnormalities (CNS WMAs), also called leukodystrophies, are heterogeneous entities. We ascertained 117 individuals with CNS WMAs from 104 unrelated families. Targeted genetic testing was carried out in 16 families and 13 of them received a diagnosis. Chromosomal microarray (CMA) was performed for three families and one received a diagnosis. Mendeliome sequencing was used for testing 11 families and all received a diagnosis. Whole exome sequencing (WES) was performed in 80 families and was diagnostic in 52 (65%). Singleton WES was diagnostic for 50/75 (66.67%) families. Overall, genetic diagnoses were obtained in 77 families (74.03%). Twenty-two of 47 distinct disorders observed in this cohort have not been reported in Indian individuals previously. Notably, disorders of nuclear mitochondrial pathology were most frequent (9 disorders in 20 families). Thirty-seven of 75 (49.33%) disease-causing variants are novel. To sum up, the present cohort describes the phenotypic and genotypic spectrum of genetic disorders with CNS WMAs in our population. It demonstrates WES, especially singleton WES, as an efficient tool in the diagnosis of these heterogeneous entities. It also highlights possible founder events and recurrent disease-causing variants in our population and their implications on the testing strategy.


Subject(s)
Genetic Association Studies , Genetic Predisposition to Disease , Nervous System Malformations/diagnosis , Nervous System Malformations/genetics , White Matter/abnormalities , Alleles , Chromosome Aberrations , Consanguinity , Family , Genetic Association Studies/methods , Genetic Testing , Humans , India/epidemiology , Microarray Analysis , Mutation , Nervous System Malformations/epidemiology , Exome Sequencing
15.
Indian Pediatr ; 58(9): 839-841, 2021 Sep 15.
Article in English | MEDLINE | ID: mdl-34016803

ABSTRACT

OBJECTIVE: To study the serum vitamin D levels in neonatal seizures and vitamin D status of the mothers whose babies had vitamin D deficiency. METHODS: For this cross-sectional study, vitamin D levels were studied in term and late preterm neonates admitted to NICU with seizures at our tertiary care center. Controls were term and late preterm healthy neonates admitted in the postnatal ward with the mothers in the same center. RESULTS: 30 cases and 30 controls were enrolled. The mean (SD) serum vitamin D was 19.33 (7.76) ng/mL among cases and 16.83 (6.74) ng/mL among controls (P=0.18). We tested maternal vitamin D levels in babies with seizures and low vitamin D levels. The mean (SD) serum vitamin D level among these mothers (n=11) was 13.25 (6.17) ng/mL. CONCLUSIONS: There was no statistically significant association between serum vitamin D levels and seizures among neonates in our study.


Subject(s)
Vitamin D Deficiency , Vitamin D , Cross-Sectional Studies , Female , Humans , Infant, Newborn , Seizures/epidemiology , Vitamin D Deficiency/complications , Vitamin D Deficiency/epidemiology , Vitamins
17.
PLoS One ; 14(4): e0215683, 2019.
Article in English | MEDLINE | ID: mdl-31022223

ABSTRACT

BACKGROUND: The incidence of neonatal sepsis in India is the highest in the world. Evidence regarding its risk factors can guide clinical practice and prevention strategies. OBJECTIVE: To review, assess and synthesize the available literature from India on the risk factors of sepsis among neonates. METHODOLOGY: A systematic review was conducted. We searched PubMed, CINAHL, Scopus, Web of Science, Popline, IndMed, Indian Science Abstracts and Google Scholar from inception up to March 23, 2018 to identify observational analytical studies reporting on risk factors of laboratory-confirmed neonatal sepsis in India. Two authors independently screened studies (title, abstract and full-text stages), extracted data, and assessed quality. A random-effects meta-analysis was performed as substantial heterogeneity was anticipated. Subgroup and sensitivity analyses were additionally performed. Effect size in our review included odds ratio and standardized mean difference. RESULTS: Fifteen studies were included from 11,009 records, of which nine were prospective in design. Birthweight and gestational age at delivery were the most frequently reported factors. On meta-analyses, it was found that male sex (OR: 1.3, 95% CI: 1.02, 1.68), out born neonates (OR: 5.5, 95% CI: 2.39, 12.49), need for artificial ventilation (OR: 5.61; 95% CI: 8.21, 41.18), gestational age <37 weeks (OR: 2.05; 95% CI:1.40, 2.99) and premature rupture of membranes (OR:11.14, 95% CI: 5.54, 22.38) emerged as risk factors for neonatal sepsis. Included studies scored lowest on exposure assessment and confounding adjustment, which limited comparability. Inadequacy and variation in definitions and methodology affected the quality of included studies and increased heterogeneity. CONCLUSIONS: Male neonates, outborn admissions, need for artificial ventilation, gestational age <37 weeks and premature rupture of membranes are risk factors for sepsis among neonates in India. Robustly designed and reported research is urgently needed to confirm the role of other risk factors of neonatal sepsis in India.


Subject(s)
Neonatal Sepsis/epidemiology , Premature Birth/epidemiology , Age Factors , Birth Weight , Gestational Age , Humans , Incidence , India/epidemiology , Infant , Infant, Newborn , Neonatal Sepsis/etiology , Respiration, Artificial/adverse effects , Risk Factors , Sex Factors
18.
J Trop Pediatr ; 65(3): 264-272, 2019 06 01.
Article in English | MEDLINE | ID: mdl-30085175

ABSTRACT

BACKGROUND: Methylxanthines have cardiac stimulant effects. The current study aimed to compare acute hemodynamic changes between caffeine and aminophylline in ≤34 weeks' preterm neonates. METHODS: The study was performed using information on echocardiography measurements from preterm neonates recruited for apnea of prematurity (75 of 240) and preventing extubation failure (113 of 156) studies. The neonates were randomized either to the caffeine or aminophylline groups. Neonates with no maintenance followed by loading doses with both the methylxanthines (caffeine and aminophylline) and incomplete echocardiography examination were excluded. RESULTS: Cardiac parameters were found to be similar between groups. The heart rate was higher among the aminophylline-treated neonates (p < 0.001) than among the caffeine-treated ones. End-systolic volume was higher among both caffeine- (p < 0.001) and aminophylline-treated neonates (p = 0.001) when compared with pretreatment values. End-diastolic volume was statistically higher in both groups' neonates (p = 0.01). The odds of increase in cardiac output was higher; however, increase in ejection fraction was less in caffeine-treated small-for-gestation-age neonates. CONCLUSION: Caffeine has similar effects on cardiac parameters as aminophylline; however, caffeine-treated small-for-gestation stratification gave rise to significant cardiac variations.


Subject(s)
Aminophylline/therapeutic use , Apnea/drug therapy , Caffeine/therapeutic use , Infant, Premature, Diseases/drug therapy , Ventilator Weaning/methods , Xanthines/therapeutic use , Apnea/diagnosis , Caffeine/blood , Dose-Response Relationship, Drug , Echocardiography , Female , Gestational Age , Heart Rate/drug effects , Humans , Infant, Newborn , Infant, Premature , Male , Treatment Outcome
19.
J Adv Nurs ; 75(2): 452-460, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30375032

ABSTRACT

AIM: To describe a randomized controlled trial protocol designed to evaluate the effectiveness of mobile health based Preterm Home Care Program (mHealthPHCP) known as "NeoRaksha" mobile health application in improving parent-infant-interaction, growth and development of preterms. DESIGN: A prospective, randomized controlled clinical trial. The protocol is approved and funded by Department of Biotechnology, Government of India on 2 August 2016. METHODS: A total of 300 preterm-mother dyads admitted to neonatal intensive care unit of a tertiary care hospital will be recruited and randomized to intervention and control group. The intervention group would receive mobile health based Preterm Home Care Program and the control group would receive standard preterm care. Intervention group will be followed up at home by community health workers known as Accredited Social Health Activist who will be trained in using the NeoRaksha mobile health application. Preterms outcomes will be assessed during follow-up at hospital. DISCUSSION: Supporting continuity of preterm care is vital as parents and preterms experience transition from Neonatal Intensive Care unit to their home. Empowering mothers and community health workers by integrating mobile technology into health care can help promote healthy preterms, enhance development outcomes and follow-up, which in turn can reduce the mortalities, morbidities, and disabilities associated with prematurity. IMPACT: The results of this study could open up new horizons in integrating hospital and home based preterm care through technology, which paves way to scale up the model across the countries.


Subject(s)
Community Health Services/organization & administration , Home Care Services/organization & administration , Intensive Care, Neonatal/organization & administration , Maternal Health Services/organization & administration , Mobile Applications , Smartphone , Telemedicine/organization & administration , Adult , Female , Humans , India , Infant , Infant, Newborn , Infant, Premature , Male , Prospective Studies
20.
Crit Rev Biomed Eng ; 46(3): 221-243, 2018.
Article in English | MEDLINE | ID: mdl-30311556

ABSTRACT

Neonates who are critically ill are cared for in a neonatal intensive care unit (NICU) for continuous monitoring of their conditions. Physiological parameters such as heart rate, respiratory wave form, blood oxygen saturation, and body temperature are constantly monitored in the NICU. However, NICUs are not always equipped with a computer system for analyzing such data, identifying critical events, and providing decision support for a neonatologist. Therefore, a specialized computer system, commonly known as a data mart, should be developed for the NICU. An architectural framework for the design and development of an automated system for data collection, storage, and analysis for the NICU is proposed in this paper. Our study also deals with the implementation of advanced transformation functions such as fuzzy grouping and fuzzy lookup for data preparation and preprocessing. Furthermore, based on Kimball's dimensional modeling, a data gathering and accumulation system, fact constellation schema (galaxy schema) has been built with previously identified neonatal processes. Finally, an information delivery component has been proposed, wherein the neonatal data can be both analyzed with different data mining algorithms and visualized with various metrics. Our pioneering work demonstrates methods that streamline the process of data collection, data storage, analysis, and decision-making, which in turn increases efficiency in the NICU and saves lives. Our study, presented in this paper, describes the design and development process and discusses its utility in the NICU. Our results indicate that data mart is best suited for effective decision-making in the NICU.


Subject(s)
Critical Illness , Data Warehousing , Decision Support Systems, Clinical , Intensive Care Units, Neonatal , Automation , Computer Simulation , Computer Systems , Decision Making , Fuzzy Logic , Humans , Infant, Newborn , Intensive Care, Neonatal/methods , Medical Informatics , Mothers , Oxygen/blood , Software , Temperature , User-Computer Interface
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