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The use of encrypted data, the diversity of new protocols, and the surge in the number of malicious activities worldwide have posed new challenges for intrusion detection systems (IDS). In this scenario, existing signature-based IDS are not performing well. Various researchers have proposed machine learning-based IDS to detect unknown malicious activities based on behaviour patterns. Results have shown that machine learning-based IDS perform better than signature-based IDS (SIDS) in identifying new malicious activities in the communication network. In this paper, the authors have analyzed the IDS dataset that contains the most current common attacks and evaluated the performance of network intrusion detection systems by adopting two data resampling techniques and 10 machine learning classifiers. It has been observed that the top three IDS models--KNeighbors, XGBoost, and AdaBoost--outperform binary-class classification with 99.49%, 99.14%, and 98.75% accuracy, and XGBoost, KNneighbors, and GaussianNB outperform in multi-class classification with 99.30%, 98.88%, and 96.66% accuracy., Author(s): Amit Singh, Government of India, India, Jay Prakash, Vijay Singh Pathik Government (PG) College, India, Gaurav Kumar, Bennett University, India, Praphula Kumar Jain, GLA University, India, Loknath Sai Ambati, [...]

Byline: Khushboo. Saran, Swathy. Iyengar, Nitesh. Sinha, Kumar. Abhishek, Amit. Kumar, Jay. Prakash Background and Aims: Sepsis-induced immunosuppression appears to be reversible with immunomodulatory drugs. Mycobacterium indicus pranii (MIP) stimulates [...]

Byline: Babli. Kumari, Ramesh. Kharwar, D. N Rao, Jay. Prakash Dear Editor, The incidence of post-traumatic cervical epidural haematoma is 2.5%, of which 59% are associated with spinal cord compression.[1] [...]

Byline: Jay. Prakash, Bram. Rochwerg, Khushboo. Saran, Arun. Yadav, Pradip. Bhattacharya, Amit. Kumar, Dipayan. Chaudhuri, Shio. Priye Background and Aims: Postoperative pain for patients having hip arthroplasty ranges from moderate [...]

Purpose: The purpose of our meta-analysis was to look at the impact of modified nutrition risk in the critically ill (mNUTRIC) on mortality in patients with critical illness. Materials and methods: Literature relevant to this meta-analysis was searched in PubMed, Web of Science, and Cochrane Library till 26 August 2023. Prospective or retrospective studies, patients >18 years of age, studies that reported on mortality and mNUTRIC (mNUTRIC cut-off score) were included. The QUIPS tool was used to evaluate the risk for bias in prognostic factors. Results: A total of 31 studies on mNUTRIC score, involving 13,271 patients were included. The summary area under the curve (sAUC) of 0.80 (95% CI: 0.76-0.83) illustrates the mNUTRIC score's strong discrimination. The pooled sensitivity was 0.79 (95% CI: 0.74-0.84) and pooled specificity was 0.68 (95% CI: 0.63-0.73). We found no discernible variation in the mNUTRIC's prediction accuracy among cut-off values of <5 and >5 in our subgroup analysis and sAUC values were 0.82 (95% CI: 0.78-0.85) and 0.78 (95% CI: 0.74-0.81), respectively. Conclusion: We observed that mNUTRIC can discriminate between critically ill individuals and predict their mortality. [ABSTRACT FROM AUTHOR]

The present study reports perceptions of first-year undergraduate medical students (n= 120), regarding modified directed self-learning (DSL) sessions in physiology. Students were provided with prereading assignments (faculty developed PowerPoint slides containing diagrams with incomplete labeling/ flowcharts with missing steps) pertaining to the DSL topic 1 wk before the scheduled small-group DSL presentations. During DSL presentation sessions, which were facilitated by teachers, a few students individually presented learning objectives in the specified topic. Apart from that, students discussed answers for the questions in the prereading assignment. Students were also given an opportunity to use technology to support DSL, by way of involving them in Pecha Kucha (PK) talks. The impact of the modified DSL method was determined by requesting students to respond to a validated questionnaire. Frequency analysis of the responses revealed that > 60% of students were positive about the modified DSL sessions improving their DSL, presentation, collaborative learning, and information retrieving skills. Students agreed that PK talks helped them to learn how to organize content (65%), present concise information (65.8%), and apply creativity (72.5%). Even though small in number, there were comments that the prereading assignments were useful for learning. The present study revealed that, even though students actively participated in modified DSL sessions, their perceptions on satisfaction and usefulness of the same toward achievement of various skills were not encouraging. The study generated significant results, which implies that undergraduate medical students should be oriented on the relevance of active learning strategies in their future studies.

Aim: The aim was to examine the outcomes of pregnant women admitted to intensive care unit with coronavirus disease-2019 (COVID-19) infection during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in India. The primary outcome of the study was maternal mortality at day 30. The secondary outcomes were the intensive care unit (ICU) and hospital length of stay, fetal mortality and preterm delivery. Materials and methods: This was a retrospective multicentric cohort study. Ethical clearance was obtained. All pregnant women of the 15--45- year age admitted to ICUs with SARS-CoV-2 infection during 1st March 2020 to 31st October, 2021 were included. Results: Data were collected from nine centers and for 211 obstetric patients admitted to the ICU with a confirmed diagnosis of COVID-19. They were divided in to two groups as per their SpO2 (saturation of peripheral oxygen) level at admission on room air, that is, normal SpO2 group (SpO2 > 90%) and low SpO2 group (SpO2 < 90%). The mean age was (30.06 ± 4.25) years and the gestational age was 36 ± 8 weeks. The maternal mortality rate was10.53%. The rate of fetal death and preterm delivery was 7.17 and 28.22%, respectively. The average ICU and hospital length of stay (LOS) were 6.35 ± 8.56 and 6.78 ± 6.04 days, respectively. The maternal mortality (6.21 vs 43.48%, p < 0.001), preterm delivery (26.55 vs 52.17%, p = 0.011) and fetal death (5.08 vs 26.09%, p = 0.003) were significantly higher in the low SpO2 group. Conclusion: The overall maternal mortality among critically ill pregnant women affected with COVID-19 infection was 10.53%. The rate of preterm birth and fetal death were 28.22 and 7.17%, respectively. These adverse maternal and fetal outcomes were significantly higher in those admitted with low SpO2 (<90%) at admission compared with those with normal SpO2. [ABSTRACT FROM AUTHOR]

A diagnosis can be made using a lot of the crucial information contained in medical snaps. Medical images have become a target for malicious attacks due to the requirement for regular communication in order to provide flexibility and accurate diagnosis. In order to protect medical images, encryption algorithms are used. Because of this, medical photos are encrypted before being transmitted; yet, this is only one layer of security. Reversible Data Hiding (RDH) techniques have recently been used to incorporate private data into medical images. This enables efficient and safe communication, and the secretly contained information--such as personal and medical records--is highly helpful for making medical diagnosis. However, the limited embedding capacity of current RDH systems continues to limit their usefulness. In this study, a Reversible Data Hiding method based on a histogram shifting and interpolation scheme is highlighted. The achievable embedding capacity (EC) for the suggested technique is one bit per pixel (bpp) for both digital and medical images. A blockchain-based system based on three keys is used to encrypt the images. The proposed blockchain mechanism is secure against outside threats. To verify the utility of the suggested strategy, the outcomes are compared to cutting-edge techniques for both digital and medical photos. Along with the hash value of the actual medicinal snaps, the private information is preserved on the blockchain. Due to this, all medical photos transmitted through the suggested blockchain network may be monitored. The experiments and analysis are shows that the proposed scheme has excellent security has attained during the entire process. It also achieved high embedding capacity, PSNR, rate and low SSIM throughout the process of data concealing. [ABSTRACT FROM AUTHOR]

Background: The incidence of postoperative nausea and vomiting (PONV) is quite high after laparoscopic surgeries. This study endeavors to compare the efficacy of the combination of palonosetron and dexamethasone with that of either drug alone in the prevention of PONV in patients undergoing laparoscopic surgeries. Methods: This randomized, parallel-group trial was done on ninety adults of American Society of Anesthesiologists Grade I and II patients aged 18–60 years undergoing laparoscopic surgeries under general anesthesia. The patients were randomly divided into three groups of thirty patients each. Group P (n = 30) received palonosetron 0.075 mg intravenously (iv), Group D (n = 30) received dexamethasone 8 mg iv and Group P + D (n = 30) received palonosetron 0.075 mg and dexamethasone 8 mg iv. The primary outcome was incidence of PONV in 24 h, and the secondary outcome was a number of rescue antiemetics required. To compare the proportions in the groups, unpaired t-test, Mann–Whitney U-test, Chi-square test, or Fisher's exact test was applied. Results: We found that the overall incidence of PONV was 46.7% in Group P, 50% in Group D, and 43.3% in Group P + D during the first 24 h. Rescue antiemetic was required in 27% of the patients in Group P and Group D compared to 23% of the patients in Group P + D and twice in 3% of the patients in Group P, 7% of the patients in Group D, and none in Group P + D which were not significant. Conclusions: The combination therapy of palonosetron plus dexamethasone did not significantly reduce the incidence of PONV when compared with either drug alone. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the effect of levonorgestrel-releasing intrauterine system (LNG-IUS) on heavy menstrual bleeding in perimenopausal women. Methods: This was a prospective, observational clinical study conducted on 42 perimenopausal women with heavy menstrual bleeding who met the study eligibility criteria. LNG-IUS was inserted in the postmenstrual phase following baseline evaluation. The patients were followed up at the 4, 12, and 24 weeks. Pictorial blood assessment chart (PBAC) score, hemoglobin and serum ferritin levels, and endometrial thickness were assessed before insertion and during the follow-up visits. Results: Two patients (4.8%) were lost to follow-up, three patients (7.1%) opted for hysterectomy, two women (4.8%) experienced spontaneous expulsion and 35 (83.3%) women continued the usage. Menstrual blood loss assessed using the median PBAC score (interquartile range) significantly reduced (P < 0.001) from the pre-insertion level of 280 (246-306) to 124 (60-200) at 4 weeks to 45 (34-76) at 12 weeks and further to 32 (20-50) at the end of 24 weeks. Simultaneously, a significant (P < 0.001) improvement in the mean hemoglobin and serum ferritin levels and a significant (P < 0.001) decrease in endometrial thickness were observed. The most common side effect was spotting (50.0%) and vaginal discharge (38.1%). Conclusions: LNG-IUS causes a remarkable reduction in menstrual blood loss and marked improvement in dysmenorrhea. It also reduces anemia by improving the hemoglobin and ferritin levels. Thus, it can serve as an effective treatment option for heavy menstrual bleeding in perimenopausal women and prevent the need for a hysterectomy. [ABSTRACT FROM AUTHOR]

Background: Emergency authorization and approval were given for the coronavirus disease-19 (COVID-19) vaccines. The efficacy reported after phase III trials were 70.4% and 78% for Covishield and Covaxin, respectively. In this study, we aim to analyze the risk factors, which were associated with mortality in critically ill COVID-19-vaccinated patients admitted into intensive care unit (ICU). Materials and methods: This study was conducted from April 1, 2021 to December 31, 2021 across five centers in India. Patients who had received either one or two doses of any of the COVID vaccines and developed COVID-19 were included. The ICU mortality was a primary outcome. Results: A total of 174 patients with COVID-19 illness were included in the study. The mean age was 57 years standard deviation (SD 15). Acute physiology, age and chronic health evaluation (APACHE II) score and the sequential organ failure assessment (SOFA) score were 14 (8-24.5) and 6 (4-8), respectively. Multiple variable logistic regression showed patients who have received a single dose [odds ratio (OR): 2.89, confidence interval (CI): 1.18, 7.08], neutrophil:lymphocyte (NL) ratio (OR: 1.07, CI: 1.02,1.11), and SOFA score (OR: 1.18, CI: 1.03,1.36) were associated with higher mortality. Conclusion: The mortality in the vaccinated patients admitted to the ICU was 43.68% due to COVID illness. The mortality was lower in patients who had received two doses. [ABSTRACT FROM AUTHOR]

Background: Thrombocytopenia may result from mechanisms such as marrow hypoplasia, increased destruction of platelets, and splenic sequestration. The gold standard method for discriminating the causes of thrombocytopenia is bone marrow examination, but it is invasive and expensive. Therefore, an alternative method should be introduced as a first-line diagnostic procedure. Of late, the automated blood cell analyzer has made it possible to assess the cause of thrombocytopenia through various machine-derived parameters, known as platelet indices, which include the mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT), which are provided as a part of routine complete blood count. Objectives: The objectives of the present study are to study the variation and effectiveness of platelet indices in establishing the etiology of thrombocytopenia. Method: An observational, prospective, and comparative study was conducted on 134 patients with thrombocytopenia, and 67 cases were taken as the normal group. The study group was classified into two groups: hypo-productive and hyper-destructive. Platelet indices were recorded and compared in the two groups along with the normal group. Results: The mean platelet count (10^3 µL) in the normal, hypo-productive, and hyper-destructive groups was 232.03 ± 74.84, 73.00 ± 36.52, and 68.28 ± 38.24, respectively. The MPV and mean PCT in the normal, hypo-productive, and hyper-destructive groups were 9.46 ± 1.68fL, 8.99 ± 1.49fL, and 11.35 ± 1.35fL and 0.22 ± 0.06%, 0.07 ± 0.04%, and 0.08 ± 0.05%, respectively. The mean PDW in the normal, hypo-productive, and hyper-destructive groups was 15.66 ± 1.76fL, 17.63 ± 1.01fL, and 18.32 ± 1.10fL, respectively. Conclusion: In the present study, platelet indices such as MPV, PCT, and PDW are higher in the hyper-destructive group and may discriminate hyper-destructive from hypo-productive causes of thrombocytopenia. [ABSTRACT FROM AUTHOR]

Byline: Jay. Prakash, Radhika. Dhanpal, Natesh. Rao, Sarayu. Ramamurthy Sir, The article by Venugopal et al . made for an interesting reading and an informative case series.[1] We agree with [...]

Objective: Due to the lack of resources for culture and antibiotic susceptibility testing in most underdeveloped countries, puerperal sepsis is treated empirically with a wide range of antibiotics. Empirical treatment, on the other hand, does not ensure treatment effectiveness and may even contribute to antibiotic resistance. So, we studied cases of puerperal sepsis, its socio-demographic factors, bacterial isolates, and antibiotic sensitivity in a tertiary health center. Material and Methods: This was a cross-sectional study conducted at the obstetrics and gynecology department of a tertiary health center in India from April 2019 to September 2020. During this time, all patients with sepsis who met the criteria for inclusion were included. After granting an informed written consent, the subjects were registered on a pre-designed proforma. Results: There were 2,049 obstetrical admissions throughout this period, with 106 (5.1%) of these having puerperal sepsis. The majority of these women (58.7%) were between the ages of 21 and 30, were multiparous (96.5%), and unbooked. Fever 104 (98.1%) was the most prevalent clinical characteristic, whereas wound gape was the most common consequence (47.1%). Klebsiella aerogens was the most common organism found in various cultures. Many organisms were shown to be multidrug-resistant and sensitive to gentamycin and amikacin. Conclusion: Klebsiella aerogens wasthe most common cause of puerperal sepsis in this investigation. Because the causal agents of puerperal sepsis and their antibiotic sensitivity patterns change over time, positive blood culture and antibiotic susceptibility of the isolates are the best guides for selecting the optimum antimicrobial therapy for treating sepsis. [ABSTRACT FROM AUTHOR]

Anemia is the most common haematological disorder in pregnancy. Anemia increases maternal morbidity and mortality. It is a condition that can be diagnosed and treated during antenatal period, preventing the serious complications of anemia during pregnancy and labour. Aims: This study investigated the prevalence of types of anemia during pregnancy and fetomaternal outcomes among pregnant women. Study Design: This was a cross-sectional study that enrolled 1100 pregnant women who were in the third trimester of pregnancy with haemoglobin level <11.0 gm/dl between March 2019 and August 2020. Methods and Material: Participants were selected by consecutive sampling and baseline data were collected by using a predesigned and pretested structured questionnaire. Data Analysis: Data were entered and analysed by using SPSS version 20. Results: The prevalence of anemia in third-trimester pregnancy in this study was 91.05%. Iron deficiency anemia was most common (69.18%) among pregnant women followed by megaloblastic anemia (2.5%). Most of pregnant women (45.90%) were mildly anemic. Mean ± SD of haematological parameters among the anemic pregnant women during third trimester of pregnancy were haemoglobin (8.08±2.24 gm/dl), haematocrit (28.92±7.78%), mean corpuscular volume (MCV) (93.02±11.32fl), mean corpuscular haemoglobin (MCH) (26.03±2.90 pg), mean corpuscular haemoglobin concentration(MCHC) (27.99 ± 2.01 gm/dl), RBC count (3.05 ± 0.67million/mm3). Most common maternal complications due to anemia in pregnancy was preterm labour (30%). Fetal outcome in the form of an alive term, most commonly seen in mild anemia (34.7%), fetal complications like Preterm alive (11.3%), preterm intrauterine fetal death (IUFD) (2.7%) most commonly associated with severe anemia. Conclusion: The present study concludes that the prevalence of anemia among pregnant women in third trimester of pregnancy was 91.05% which is a serious public health problem. Proper counselling to the patients and their family members regarding cause of anemia, effect of anemia and complications of anemia. So, that such preventable condition can be prevented. [ABSTRACT FROM AUTHOR]