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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/8840" />
  <subtitle />
  <id>http://localhost:8080/xmlui/handle/123456789/8840</id>
  <updated>2026-04-09T06:43:27Z</updated>
  <dc:date>2026-04-09T06:43:27Z</dc:date>
  <entry>
    <title>Observational Study on Secondary Bacterial Infection and the Use of Antibiotics in COVID-19 Patients Treated in a Tertiary Referral Hospital</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/8894" />
    <author>
      <name>Chen Lie, Khie</name>
    </author>
    <author>
      <name>Shakinah, Sharifah</name>
    </author>
    <author>
      <name>Pasaribu, Adeline</name>
    </author>
    <author>
      <name>Sinto, Robert</name>
    </author>
    <author>
      <name>Nainggolan, Leonard</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/8894</id>
    <updated>2024-12-13T02:52:04Z</updated>
    <published>2022-01-01T00:00:00Z</published>
    <summary type="text">Title: Observational Study on Secondary Bacterial Infection and the Use of Antibiotics in COVID-19 Patients Treated in a Tertiary Referral Hospital
Authors: Chen Lie, Khie; Shakinah, Sharifah; Pasaribu, Adeline; Sinto, Robert; Nainggolan, Leonard
Abstract: Background: Data on secondary bacterial infection in patients with COVID-19 in Indonesia are still&#xD;
limited, while the use of empirical antibiotics continues to increase. This study aims to determine the secondary&#xD;
bacterial infection rate in hospitalized COVID-19 patients and factors related to secondary bacterial infection.&#xD;
Methods: This is a retrospective cohort study on hospitalized COVID-19 patients undergoing treatment at&#xD;
Cipto Mangunkusumo Hospital from March 2020 to September 2020. Secondary bacterial infection is defined&#xD;
as the identification of a bacterial pathogen from a microbiological examination. Results: From a total of 255&#xD;
subjects, secondary infection was identified in 14.5%. Predictors of secondary infection were early symptoms&#xD;
of shortness of breath (OR 5.31, 95% CI 1.3 – 21.5), decreased consciousness (OR 4.81, 95% CI 1.77 – 13.0),&#xD;
length of stay &gt; 12 days (OR 8.2, 95% CI 2.9 – 23.3), and central venous catheter placement (OR 3.0, 95%&#xD;
CI 1.1 – 8.0) The most common pathogen of secondary bacterial infection is Acinetobacter sp. (n=9; 28%).&#xD;
Empirical antibiotics were administered to 82.4% of subjects with predominant use of macrolides (n=141; 32.4%).&#xD;
Conclusion: The secondary bacterial infection rate in COVID-19 was 14.5% and is associated with dyspnea,&#xD;
decreased consciousness, length of stay &gt;12 days, and central venous catheter placement. The use of antibiotics&#xD;
in COVID-19 reaches 82.4% and requires special attention to prevent the occurrence of antibiotic resistance.&#xD;
Keywords: COVID-19, secondary bacterial infection, antibiotics, antibiotic stewardship.</summary>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Post COVID-19 Syndrome Monitoring in Confirmed COVID-19 Patients with Telemedicine at Cipto Mangunkusumo Hospital</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/8892" />
    <author>
      <name>Prabowo, Yogi</name>
    </author>
    <author>
      <name>Riza’i, Ahmad</name>
    </author>
    <author>
      <name>Habib, Hadiki</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/8892</id>
    <updated>2024-12-13T02:47:46Z</updated>
    <published>2022-01-01T00:00:00Z</published>
    <summary type="text">Title: Post COVID-19 Syndrome Monitoring in Confirmed COVID-19 Patients with Telemedicine at Cipto Mangunkusumo Hospital
Authors: Prabowo, Yogi; Riza’i, Ahmad; Habib, Hadiki
Abstract: Background: The incidence of post-covid-19 syndrome is quite high and requires further monitoring after&#xD;
the patient is discharged from treatment. So we need a proper monitoring method and description of the Covid-19&#xD;
syndrome in Indonesia. Methods: This retrospective cohort study with total sampling method uses data from&#xD;
medical records and telemedicine observations of confirmed COVID-19 patients who received treatment in the&#xD;
Kiara room at Cipto Mangunkusumo. The data were then analyzed using chi-squared and multinomial logistic&#xD;
regression techniques. Results: A total of 133 samples were used, including 44.4% male and 55.6% female, with&#xD;
an average age Standard Deviation (SD) of 40.36 (17.94). The severity levels of Covid-19 were mild (66.9%).&#xD;
The most common post-Covid-19 symptom manifestations was cough expressed at the first follow-up (first week&#xD;
after recovery) and second follow-up (the fourth week after recovery). Furthermore, the significant relationship&#xD;
between severity levels and post-Covid-19 symptomatic syndrome outcomes is the critical headache or vertigo&#xD;
symptoms with an RR of 8.70 (95% CI, 1.10-68.69,). In comparison, the telemedicine quality assessment was&#xD;
declared good, as shown by 98.7% of an examined sample. Conclusion: The most manifestation shown in the&#xD;
first and fourth week of follow-up is cough. Other symptoms tend to decrease in the second follow-up. The&#xD;
severity level associated with post-Covid-19 manifestations are severe-critical with headache or vertigo as a risk&#xD;
factor and mild with symptoms of headache or vertigo as a preventative. Meanwhile, the quality of telemedicine&#xD;
services was recognized as good by the majority of the sample.&#xD;
Keywords: post-Covid-19 manifestations, Covid-19, Headache, Telemedicine, Indonesia</summary>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Evaluation of COVID-19 Patients According to the Survival Time</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/8891" />
    <author>
      <name>Atici, Adem</name>
    </author>
    <author>
      <name>Asoglu, Ramazan</name>
    </author>
    <author>
      <name>Ali Barman, Hasan</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/8891</id>
    <updated>2024-12-13T02:45:39Z</updated>
    <published>2022-01-01T00:00:00Z</published>
    <summary type="text">Title: Evaluation of COVID-19 Patients According to the Survival Time
Authors: Atici, Adem; Asoglu, Ramazan; Ali Barman, Hasan
Abstract: Background: Coronavirus disease 2019 (COVID-19) was first detected as a form of atypical&#xD;
pneumonia. COVID-19 is a highly contagious virus, and some patients may experience acute&#xD;
respiratory distress syndrome (ARDS) and acute respiratory failure leading to death. We aim to&#xD;
evaluate the clinical, imaging, and laboratory parameters according to survival time to predict&#xD;
mortality in fatal COVID-19 patients. Methods: Fatal 350 and survived 150 COVID-19 patients were&#xD;
included in the study. Fatal patients were divided into three groups according to the median value of&#xD;
the survival days. Demographic characteristics and in-hospital complications were obtained from&#xD;
medical databases. Results: Of the non-survived patients, 30% (104) died within three days, 32%&#xD;
(110) died within 4-10 days, and 39% (136) died within over ten days. Pneumonia on computational&#xD;
tomography (CT), symptom duration before hospital admission (SDBHA), intensive care unit (ICU),&#xD;
hypertension (HT), C-reactive protein (CRP), D-dimer, multi-organ dysfunction syndrome (MODS),&#xD;
cardiac and acute kidney injury, left ventricular ejection fraction (LVEF), right ventricular fractional&#xD;
area change (RV-FAC), and Tocilizumab/Steroid therapy were independent predictors of mortality&#xD;
within three days compared to between 4-10 days and over ten days mortality. A combined diagnosis&#xD;
model was evaluated for the age, CT score, SDBHA, hs-TnI, and D-dimer. The combined model had&#xD;
a higher area under the ROC curve (0.913). Conclusion: This study showed that age, pneumonia on&#xD;
CT, SDBHA, ICU, HT, CRP, d-dimer, cardiac injury, MODS, acute kidney injury, LVEF, and RV-FAC&#xD;
were independently associated with short-term mortality in non-surviving COVID-19 patients in the&#xD;
Turkish population. Moreover, Tocilizumab/Steroid therapy was a protective and independent predictor&#xD;
of mortality within three days.&#xD;
Keywords: COVID-19, mortality, acute respiratory distress syndrome, echocardiography.</summary>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Parenteral and Oral Anticoagulant Treatment for Hospitalized and Post-Discharge COVID-19 Patients: A Systematic Review and Meta-Analysis</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/8890" />
    <author>
      <name>N. Tunjungputri, Rahajeng</name>
    </author>
    <author>
      <name>N. Tetrasiwi, Erpryta</name>
    </author>
    <author>
      <name>A. Mulansari, Nadia</name>
    </author>
    <author>
      <name>Harimurti, Kuntjoro</name>
    </author>
    <author>
      <name>J. Nelwan, Erni</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/8890</id>
    <updated>2024-12-13T02:43:28Z</updated>
    <published>2022-01-01T00:00:00Z</published>
    <summary type="text">Title: Parenteral and Oral Anticoagulant Treatment for Hospitalized and Post-Discharge COVID-19 Patients: A Systematic Review and Meta-Analysis
Authors: N. Tunjungputri, Rahajeng; N. Tetrasiwi, Erpryta; A. Mulansari, Nadia; Harimurti, Kuntjoro; J. Nelwan, Erni
Abstract: Background: The use of anticoagulants has been endorsed by different hematological societies as coagulation&#xD;
abnormalities are key features of COVID-19 patients. This systematic review and meta-analysis aims to provide the&#xD;
most recent update on available evidence on the clinical benefits and risk of oral and parenteral anticoagulants,&#xD;
as well agents with anticoagulant properties, in hospitalized and post-discharge COVID-19 patients.&#xD;
Methods: This systematic review synthesizes data on the outcome of anticoagulation in hospitalized and postdischarge&#xD;
COVID-19 patients. Dichotomous variables from individual studies were pooled by risk ratio (RR)&#xD;
and their 95% confidence interval (95% CI) using the random-effects model. Meta-analyses were performed&#xD;
when feasible. Results: We included 32 studies from 2.815 unique citations, including 7 randomized clinical&#xD;
trials. A total of 33.494 patients were included. Outcomes measured include mortality and survival rates, the&#xD;
requirement for ICU care and mechanical ventilation. A pooled meta-analysis favors anticoagulant compared to no&#xD;
anticoagulant with reduced mortality in hospitalized patients (RR 0,55; 95%CI 0,43-0,66; p&lt;0,001). Higher dose&#xD;
of anticoagulant also showed treatment benefit compared to standard prophylactic dose in selected populations&#xD;
(RR 0,68; 95%CI 0,40-0,96; p&lt;0,001). Regular, pre-hospital anticoagulation prior to hospitalization yielded&#xD;
mixed result. There are currently no data on the benefit of anticoagulation on post-discharge COVID-19 patients.&#xD;
Conclusion: Determination of the presence of thrombosis in COVID-19 is important, as therapeutic dosage&#xD;
of anticoagulants, rather than prophylatic dose, would be indicated in such clinical situation. Anticoagulants&#xD;
were found to decrease the mortality of hospitalized COVID-19. The results from this study are important in the&#xD;
tailored treatment of COVID-19 patients. Further studies on the need for oral anticoagulation for outpatients&#xD;
or post-discharge is warranted. This study has been registered in PROSPERO database (CRD42020201418).&#xD;
Keywords: COVID-19, anticoagulant, VTE, thromboprophylaxis</summary>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
  </entry>
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