A Cross-Sectional Study Comparing the Efficacy of Various Growth Charts in Evaluating the Incidences of Small for Gestational Age and Large for Gestational Age at Birth Among Liveborn Neonates Delivered at a Tertiary Teaching Hospital.

Background and objective Growth charts are important in monitoring the growth of neonates. The growth of Indian fetuses is understood to be different from the Western population due to multiple factors. In this study, we aimed to analyze the utility of the application of various growth charts in evaluating the birth weights of liveborn neonates at a tertiary teaching hospital. Methodology A total of 729 liveborn neonates between 24 to 42 weeks of gestation delivered at the study institute during the study period were included. Birth weights were plotted on three growth charts - Fenton 2013, INTERGROWTH-21st (IG-21), and Kandraju et al. chart - and classified as small for gestational age (SGA), or appropriate for gestational age (AGA), or large for gestational age (LGA) according to the respective centiles and sex. The incidences of SGA and LGA were calculated with respect to various charts and compared. Statistical analysis was done using the McNemar Chi-square test for paired categorical variables. Cohen's kappa (K) was used to analyze the concordance between the growth charts. A p-value <0.005 was considered statistically significant. Results Among 668 term neonates, the number of neonates classified as SGA was 313 (46.86%), 236 (35.33%), and 219 (32.78%) according to Fenton 2013, IG-21, and Kandraju et al. chart respectively. The difference in incidences of SGA between Fenton 2013 and IG-21 for term neonates was significant (p=0.0001). The difference between incidences of SGA among term neonates according to Fenton 2013 and Kandraju et al. and IG-21 vs. Kandraju et al. was significant (p=0.0001). Among 61 preterm neonates, the number of neonates classified as SGA was 15, 11, and five according to Fenton 2013, IG-21, and Kandraju et al. respectively. There was no statistically significant difference between the three charts. Among 729 neonates, the number of neonates classified as LGA was 10 (1.37%), 22 (3.02%), and 32 (4.39%) according to Fenton 2013, IG-21, and Kandraju, et al. respectively. The difference in incidences of LGA between Fenton 2013 and IG-21 was significant (p=0.0015). The difference in incidences of LGA between Fenton 2013 and Kandraju et al. was significant (p=0.0001). The difference in incidences of LGA between IG-21 and Kandraju et al. was also significant (p=0.0044). Conclusion Fenton 2013, IG-21, and Kandraju et al. growth charts vary significantly in detecting the incidence of SGA and LGA among term neonates. Among term neonates, IG-21 and Kandraju et al. growth charts are comparable in terms of the estimation of SGA. The Fenton 2013 growth chart showed a higher incidence of SGA among term neonates. The incidence of LGA was highest according to Kandraju et al. growth chart and least according to Fenton 2013. Among preterm neonates, the incidence of SGA as per birth weight was comparable across the three growth charts.

Insights into Prevention of Health Complications in Small for Gestational Age (SGA) Births in Relation to Maternal Characteristics: A Narrative Review.

Small for gestational age (SGA) births are a significant clinical and public health issue. The objective of this review was to summarize maternal biological and socio-demographic factors and preventive strategies used to reduce the risk of SGA births. A literature search encompassing data from the last 15 years was conducted using electronic databases MEDLINE/PubMed, Google Scholar and Scopus to review risk factors and preventive strategies for SGA. Current evidence shows that primiparity, previous stillbirths, maternal age ≤24 and ≥35 years, single motherhood, low socio-economic status, smoking and cannabis use during pregnancy confer a significant risk of SGA births. Studies on alcohol consumption during pregnancy and SGA birth weight are inconclusive. Beneficial and preventive factors include the "Mediterranean diet" and dietary intake of vegetables. Periconceptional folic acid supplementation, maternal 25-hydroxyvitamin D, zinc and iron levels are partly associated with birth weight. No significant associations between COVID-19 vaccinations and birthweight are reported. A midwifery-led model based on early and extensive prenatal care reduces the risk of SGA births in women with low socio-economic status. Major preventive measures relate to the awareness of modifiable and non-modifiable risk factors of SGA, leading to changes in parents' lifestyles. These data support that education, monitoring during pregnancy, and implementing preventive strategies are as important as biological determinants in risk reduction of SGA births.

Severe maternal infectious morbidity during the second half of pregnancy is an independent risk factor for a small for gestational age neonate.

OBJECTIVE: The effect of severe maternal infectious morbidity on fetal growth during the second half of pregnancy is under debate. Preliminary evidence suggests that such association may be plausible. The objectives of this study were to determine: 1) The association between severe maternal infectious morbidity and adverse pregnancy outcome; and 2) The effect of maternal infection during pregnancy on fetal growth. STUDY DESIGN: This retrospective population - based cohort study included 4771 women who gave birth at our medical center during the study period. Parturients were allocated into two groups: 1) patients with severe maternal infection during the second half of pregnancy (n = 368); and 2) control group comprised of normal pregnant women who were matched to the study group by maternal age, gravidity and parity (n = 4403). RESULTS: The severe maternal infection group included women with pneumonia (n = 198), pyelonephritis (n = 131), and viral pneumonitis (n = 39). In comparison to the normal patients group: 1) having had pneumonia during the second half of pregnancy was associated with increased rates of fetal growth restriction, placental abruption, fetal demise (P < 0.001, for all comparisons) and preeclampsia (P = 0.041); 2) Pyelonephritis during the second half of gestation was associated with higher rates of fetal growth restriction (P < 0.001), placental abruption (P = 0.006) and labor induction (P = 0.039). As a group, women with severe maternal infection had higher rates of small for gestational age neonates compared to normal parturients (P < 0.001). Among women with infections, only those who had pyelonephritis (P = 0.032) or pneumonia (P = 0.008), had a higher rate of small for gestational age neonates than those in the control group. After adjustment to confounding factors, maternal infection (OR = 1.42, 95% CI 1.085-1.85) and previous delivery of a small for gestational age neonate (OR = 2.54, 95% CI 2.02-3.19), were independent risk factors for the delivery of a small for gestational age neonate. CONCLUSION: Severe maternal infectious morbidity during the second half of pregnancy is an independent risk factor for the delivery of a small for gestational age neonate and is associated with adverse pregnancy outcomes. Both, pneumonia and pyelonephritis, during the second half of gestation affect fetal growth and are related to higher rates of small for gestational age neonates.

Ultrasound and Doppler findings in pregnant women with SARS-CoV-2 infection.

OBJECTIVES: To describe and compare ultrasound and Doppler findings in pregnant women who were positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with findings in those who were SARS-CoV-2-negative, evaluated during the pandemic period. METHODS: In this retrospective case-control study, we analyzed data from 106 pregnant women who tested positive for SARS-CoV-2 at the time of, or within 1 week of, an ultrasound scan between 1 May and 31 August 2020. Scans were either performed for routine fetal evaluation or indicated due to a positive SARS-CoV-2 test. Forty-nine women were symptomatic and 57 were asymptomatic. For comparison, we analyzed data from 103 pregnant women matched for maternal age, parity, body mass index and gestational age at the time of the ultrasound scan. These control women did not report symptoms of SARS-CoV-2 infection at the time of the ultrasound scan or at the time of admission for delivery and had a negative SARS-CoV-2 test at admission for delivery. Fetal biometry, fetal anatomy, amniotic fluid volume and Doppler parameters, including umbilical and fetal middle cerebral artery pulsatility indices, cerebroplacental ratio and biophysical profile (BPP), were evaluated as indicated. Biometric and Doppler values were converted to Z-scores for comparison. Our primary outcome, an adverse prenatal composite outcome (APCO) included any one or more of: small-for-gestational-age (SGA) fetus, oligohydramnios, abnormal BPP, abnormal Doppler velocimetry and fetal death. Comorbidities, delivery information and neonatal outcome were compared between the two groups. RESULTS: Eighty-seven (82.1%) women who were positive for SARS-CoV-2 had a body mass index > 25 kg/m2 . SARS-CoV-2-positive women had a higher prevalence of diabetes (26/106 (24.5%) vs 13/103 (12.6%); P = 0.03), but not of pre-eclampsia (21/106 (19.8%) vs 11/103 (10.7%); P = 0.08), compared with controls. The prevalence of APCO was not significantly different between SARS-CoV-2-positive women (19/106 (17.9%)) and controls (9/103 (8.7%)) (P = 0.06). There were no differences between SARS-CoV-2-positive women and controls in the prevalence of SGA fetuses (12/106 (11.3%) vs 6/103 (5.8%); P = 0.17), fetuses with abnormal Doppler evaluation (8/106 (7.5%) vs 2/103 (1.9%); P = 0.08) and fetuses with abnormal BPP (4/106 (3.8%) vs 0/103 (0%); P = 0.14). There were two fetal deaths in women who were positive for SARS-CoV-2 and these women had a higher rate of preterm delivery ≤ 35 weeks of gestation (22/106 (20.8%) vs 9/103 (8.7%); odds ratio, 2.73 (95% CI, 1.19-6.3); P = 0.01) compared with controls. CONCLUSIONS: There were no significant differences in abnormal fetal ultrasound and Doppler findings observed between pregnant women who were positive for SARS-CoV-2 and controls. However, preterm delivery ≤ 35 weeks was more frequent among SARS-CoV-2-positive women. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.

Influence of nutritional status on clinical outcomes among hospitalized patients with COVID-19.

BACKGROUND AND AIMS: Several factors that worsen the prognosis of the new coronavirus SARS-CoV-2 have been identified, such as obesity or diabetes. However, despite that nutrition may change in a lockdown situation, little is known about the influence of malnutrition among subjects hospitalized due to COVID-19. Our study aimed to assess whether the presence of malnutrition among patients admitted due to COVID-19 had any impact on clinical outcomes compared with patients with the same condition but well nourished. METHODS: 75 patients admitted to hospital due to COVID-19 were analyzed cross-sectionally. Subjective Global Assessment (SGA) was completed by phone interview. Clinical parameters included were extracted from the electronic medical record. RESULTS: According to the SGA, 27 admitted due to a COVID-19 infection had malnutrition. Patients not well nourished were older than patients with a SGA grade A (65 ± 14.1 vs 49 ± 15.1 years; p < 0.0001). Length of hospital stay among poorly nourished patients was significantly higher (18.4 ± 15.6 vs 8.5 ± 7.7 days; p = 0.001). Mortality rates and admission to ICU were greater among subjects with any degree of malnutrition compared with well-nourished patients (7.4% vs 0%; p = 0.05 and 44.4% vs 6.3%; p < 0.0001). CRP (120.9 ± 106.2 vs 60.8 ± 62.9 mg/l; p = 0.03), D-dimer (1516.9 ± 1466.9 vs 461.1 ± 353.7 ng/mL; p < 0.0001) and ferritin (847.8 ± 741.1 vs 617.8 ± 598.7mcg/l; p = 0.03) were higher in the group with malnutrition. Haemoglobin (11.6 ± 2.1 vs 13.6 ± 1.5 g/dl; p < 0.0001) and albumin 3.2 ± 0.7 vs 4.1 ± 0.5 g/dl; p < 0.0001) were lower in patients with any degree of malnutrition. CONCLUSIONS: The presence of a poor nutritional status is related to a longer stay in hospital, a greater admission in the ICU and a higher mortality.

The prevalence of malnutrition and analysis of related factors among adult patients with the Coronavirus Disease 2019 (COVID 19) in a tertiary government hospital: The MalnutriCoV study.

BACKGROUND AND AIMS: As of November 2020, the Coronavirus Disease 2019 (COVID 19) has infected more than 396,000 people in the Philippines. Although no study has been done on malnutrition among a general cohort of patients with COVID 19, it has long been associated with increased mortality and poor long-term outcomes. We aimed to determine the prevalence of malnutrition among patients with COVID 19 admitted in a tertiary government hospital. METHODS: Cross-sectional study on COVID 19-confirmed patients admitted to the COVID 19 wards from July 15 to September 15, 2020. Nutritional status was assessed using the Philippine Society for Parenteral and Enteral Nutrition (PhilSPEN) modified Subjective Global Assessment Grade (SGA) tool. Malnutrition was defined as those with SGA grades B and C. Chi-square test or Fisher exact test of association, as appropriate, was used to identify factors that have a significant association with malnutrition. Furthermore, logistic regression was done on factors with significant association. RESULTS: Among the 355 adult patients in the study, 71.83% (255/355) were malnourished [SGA B: 67.84% (173/255); SGA C: 32.16% (82/255)]. The following were shown to have significant association with malnutrition: community-acquired pneumonia (CAP) [p-value < 0.001], hospital-acquired pneumonia (HAP) [p-value 0.002], and chronic kidney disease (p-value 0.033). Multivariable logistic regression revealed that age [OR 1.02, CI 95% 1.00, 1.04, p-value 0.027] and CAP-Moderate Risk (MR) [OR 3.02, CI 95% 1.73, 5.27, p-value < 0.001] are significant predictors of malnutrition. All patients with CAP- High Risk and HAP were malnourished. CONCLUSION: The prevalence of malnutrition was high (71.83%) in a general cohort of COVID 19 patients as measured by the modified SGA tool. The following are risk factors of malnutrition among patients with COVID 19: age, CAP, and HAP. Nutritional support and management of comorbidities are of paramount importance in the care of patients with COVID 19.