European Journal of Molecular & Clinical Medicine

To evaluate early maternal warning triggers in the detection of maternal morbidity, by using two types of Early warning systems as a bedside screening tool and comparing their efficacy in routine use. To determine the effectiveness of maternal early warning scoring system as a screening tool for maternal morbidity. To compare the effectiveness of MEOWS chart over MEWT chart as screening tools for maternal morbidity in routine use.
Methods: From September 2019 to October 2021 (two years), a descriptive observational study was conducted at the department of obstetrics and gynecology, Kamineni Academy of Medical College and Research Centre, LB Nagar Hyderabad, India. Women who met the selection criteria for antenatal and postnatal care during the study period and gave their informed consent. 500 study participants were the sample size.
Results: Majority of study participants were in the age group of 21-25 years (45.2%). Mean age of study participants was 25.00 + 4.606 years ranging from 17 to 42 years.MEOWS colour coding and MEWT colour coding were matching in all the 500 cases in screening maternal morbidity (Kappa value of 1.00) and it was found to be statistically significant (P value <0.05).
Conclusion: We discovered that when screening for maternal morbidity, both the MEOWS and MEWT color coding matched in every instance. In order to identify early maternal warning signs by all healthcare professionals and thereby aid in the prevention of obstetric morbidity, we can use MEWT color coding, which is straightforward and simple to use with only 5 components as opposed to MEOWS color coding, which had 7 components.

Background: Currently for physicians, there are limited parameters to stratify patients at risk for short term cardiovascular collapse (i.e. vasopressor dependence). The shock index (SI, heart rate divided by systolic blood pressure) is a simple formula useful for detecting changes in cardiovascular performance before the onset of systemic hypotension. It is an easily accessible, non-invasive, and non-costly risk stratification tool that may enhance current methods for differentiating severe sepsis patients at risk for imminent cardiovascular collapse.
Materials: In this study, we have taken patients who are above 18 years diagnosed to have sepsis were followed up and shock index was calculated every 6th hour. In 50 such patients who required vasopressor use within 72 hours of admission, percentage of SI elevation for each patient was determined by taking the total number of SI values greater than 0.8 and dividing this number by the total number of vital signs taken. The patients were divided into Sustained SI elevation (i.e. >or=80%) group and non-sustained SI elevation group (i.e. < 80%) and comparison was done.
Results: 80 patients were followed up, out of which 50 patient’s required vasopressor use with in 72 hours of admission. Among them 41 patients had sustained shock index elevation and 9 patients had non sustained SI elevation. It is found that sustained shock index was statistically significant in predicting vasopressor use in sepsis patients. Sustained SI had sensitivity of 82%, specificity of 83.3%, PPV of 89.13%, NPV of 73.55% and Diagnostic accuracy of 82.5% in predicting vasopressor use.
Conclusion: Patients with sepsis and a sustained SI elevation appear to have higher rates of vasopressor use short term after admission contrasted to patients without a sustained SI Elevation. A sustained SI elevation may be a promising simple, cost-efficient, and non-invasive measurement to help risk stratify patients who present with sepsis, and may complement other predictors of disease progression. A sustained SI elevation may be a useful modality to identify patients with severe sepsis at risk for disease progression.

Background: In this study, it was aimed to describe rates, etiological agents of the secondary infections and its effect on clinical outcomes among hospitalized patients with COVID-19.
Materials and Methods: A prospective comparative analysis of the characteristics of patients with and without secondary infection was carried out among 75 hospitalized adult patients with a confirmed diagnosis of COVID- 19 via RT-PCR.

Foregg, Digital Signal Processing (DSP) is growing with sophisticated capabilities in locally
accessible space applications, thanks to the use of Field Programmable Gate Arrays (FPGA)
and Specific Integrated Circuits for Application (ASICs). Proof of these perplexing systems is
being checked inside tiny timetables and characteristics. It is critical to conduct strict
functional monitoring in order to ensure that these systems operate reliably in all conceivable
run-time scenarios. Even with the use of cutting-edge Hardware Verification Languages
(HVLs) and approaches such as System-Virology (SV) and Universal Verification
Methodology (UVM), improving a mechanized self-checking validation state or test seats,
including the age of bit-exact genius reference values, is a complex and time-consuming task.
This article investigates a utilitarian check method for the DSP-based VLSI setup utilizing SV
and Mat lab. The design of the verify situation, method for integrating Mat lab with SV-based
validation condition, and age of bit-accurate genius references are continuously examined in
detail, in addition to two contextual investigations