<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/733" />
  <subtitle />
  <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/733</id>
  <updated>2026-05-21T02:47:45Z</updated>
  <dc:date>2026-05-21T02:47:45Z</dc:date>
  <entry>
    <title>A nonparametric regression-based linkage scan of rheumatoid factor-IgM using sib-pair squared sums and differences</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/735" />
    <author>
      <name>Pasupuleti, Samba Siva Rao</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/735</id>
    <updated>2024-06-14T09:17:34Z</updated>
    <published>2017-12-18T00:00:00Z</published>
    <summary type="text">Title: A nonparametric regression-based linkage scan of rheumatoid factor-IgM using sib-pair squared sums and differences
Authors: Pasupuleti, Samba Siva Rao
Abstract: Parametric linkage methods for quantitative trait locus mapping require explicit specification of the&#xD;
probability model of the quantitative trait and hence can lead to misleading linkage inferences when&#xD;
the model assumptions are not valid. Ghosh and Majumder developed a nonparametric regression&#xD;
method based on kernel-smoothing for linkage mapping of quantitative trait locus using squared&#xD;
differences in trait values of independent sib pairs, which is relatively more robust than parametric&#xD;
methods with respect to violations in distributional assumptions. In this study, we modify the above&#xD;
mentioned nonparametric regression method by considering local linear polynomials instead of the&#xD;
Nadaraya-Watson estimator and squared sums of sib-pair trait values in addition to squared&#xD;
differences to perform a genome-wide scan of rheumatoid factor-IgM levels on sib pairs in the&#xD;
Genetic Analysis Workshop 15 simulated data set. We obtain significant evidence of linkage very&#xD;
close to the quantitative trait locus controlling for RF-IgM. We find that the simultaneous use of&#xD;
squared differences and squared sums increases the power to detect linkage compared to using&#xD;
only squared differences. However, because of all the sib pairs are selected for rheumatoid arthritis,&#xD;
there is reduced variance of RF-IgM values, and empirical power to detect linkage is not very high.&#xD;
We also compare the performance of our method with two linear regression approaches: the&#xD;
classical Haseman-Elston method using squared sib-pair trait differences and its extension&#xD;
proposed by Elston et al. using mean-corrected sib-pair cross-products. We find that the proposed&#xD;
nonparametric method yields more power than the linear regression approaches.</summary>
    <dc:date>2017-12-18T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Cytomegalovirus reactivation in seropositive critically ill patients with liver cirrhosis: A hospital-based longitudinal study</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/734" />
    <author>
      <name>Pasupuleti, Samba Siva Rao</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/734</id>
    <updated>2024-06-14T09:13:45Z</updated>
    <published>2022-01-01T00:00:00Z</published>
    <summary type="text">Title: Cytomegalovirus reactivation in seropositive critically ill patients with liver cirrhosis: A hospital-based longitudinal study
Authors: Pasupuleti, Samba Siva Rao
Abstract: Background: Cytomegalovirus (CMV) reactivation is known to occur among intensive care unit (ICU) patients. CMV-reactivation is not well-evaluated among critically ill cirrhotic adults who are not overtly immunocompro- mised. Objectives: Primary objective was to estimate the CMV-reactivation incidence rate among seropositive/latently infected critically ill cirrhotic adults. The secondary objective was to study the risk factors, host-related cytokine responses, and ICU outcomes associated with CMV-reactivation . Methods: In this longitudinal study conducted between November 2018 and June 2019, all consecutive anti- CMV-IgG-positive cirrhotic Liver-ICU patients were assessed at day 0/ICU-admission, day 7, 14, and 21 for CMV- reactivation/plasma-DNAemia ( ≥ 500 IU/ml), cytokines, clinical, laboratory and outcome parameters. Results: Fifty-five (48 male) cirrhosis patients consecutively admitted to liver-ICU were prospectively studied. Twenty (36%) adults developed CMV-reactivation. Majority (n = 17/55, 30.9%; 95% CI: 19.1 - 44.8) showed CMV- reactivation on ICU-day 7. CMV-reactivation incidence rate during 21-day follow-up was 2.75% per person-day (95% CI: 1.68-4.26% per person-day). None of the risk factors studied was independently associated with CMV- reactivation. Acute respiratory distress syndrome (p = 0.04), systemic inflammatory response syndrome (p = 0.01), secondary (bacterial and/or fungal) infections (p = 0.009), and raised pro-inflammatory cytokines (IFN 𝛾, p = 0.012; TNF 𝛼, p = 0.052) were observed concomitantly to CMV-reactivation on ICU-day 7. ICU-Mortality (n = 34/55, 61.8%) did not vary with a presence or absence of CMV-reactivation (55% versus 65.7%; p = 0.43). Length of stay (LOS) in liver-ICU did not differ concerning CMV-reactivation (5 days versus 4.5 days; p = 0.17) Conclusions: CMV-reactivation incidence rate was considerable among seropositive non-immunosuppressed crit- ically ill cirrhotic adults. Mortality and LOS in Liver-ICU were not significantly influenced by CMV-reactivation.</summary>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

