| Literature DB >> 27366157 |
Zhengyi Zhang1, Yuan Zhao1, Lili Yang1, Changhong Lu1, Ying Meng1, Xiaoli Guan1, Hongjin An1, Meizhong Zhang2, Wenqin Guo2, Bo Shang1, Jing Yu3.
Abstract
Measles is caused by measles virus belonging to genus Morbillivirus of the family Paramyxoviridae. Vaccination has played a critical role in controlling measles infection worldwide. However, in the recent years, outbreaks of measles infection still occur in many developing countries. Here, we report an outbreak of measles among healthcare workers and among the 60 measles infected patients 50 were healthcare workers including doctors, nurses, staff, and medics. Fifty-one patients (85%) tested positive for IgM antibodies against the measles virus and 50 patients (83.3%) tested positive for measles virus RNA. Surprisingly, 73.3% of the infected individuals had been previously immunized against measles. Since there is no infection division in our hospital, the fever clinics are located in the Emergency Division. In addition, the fever and rash were not recognized as measles symptoms at the beginning of the outbreak. These factors result in delay in isolation and early confirmation of the suspected patients and eventually a measles outbreak in the hospital. Our report highlights the importance of following a two-dose measles vaccine program in people including the healthcare workers. In addition, vigilant attention should be paid to medical staff with clinical fever and rash symptoms to avoid a possible nosocomial transmission of measles infection.Entities:
Year: 2016 PMID: 27366157 PMCID: PMC4904577 DOI: 10.1155/2016/1742530
Source DB: PubMed Journal: Can J Infect Dis Med Microbiol ISSN: 1712-9532 Impact factor: 2.471
Figure 1An epidemic curve shows the number of cases during the measles outbreak in Lanzhou University Second Hospital between March 16, 2016, and April 4, 2015. The x-axis represents date of illness onset; the y-axis represents the number of cases.
Summary of cases diagnosed with measles in the outbreak.
|
| |
| Female ( | 39 (65.00%) |
| Male ( | 21 (35.00%) |
|
| |
| 1–18 years ( | 7 (11.66%) |
| 19–40 years ( | 50 (83.33%) |
| >40 years ( | 3 (5.01%) |
|
| |
| New building of the hospital ( | 60 (100%) |
| Old building of the hospital ( | 0 (0.00%) |
|
| |
| Nurse ( | 31 (51.66%) |
| Staff ( | 11 (18.33%) |
| Clinical patient ( | 10 (16.66%) |
| Doctor ( | 7 (11.66%) |
| Medic ( | 1 (1.69%) |
|
| |
| Vaccination ( | 44 (73.33%) |
| Unknown ( | 12 (20.00%) |
| No vaccination ( | 4 (6.67%) |
|
| |
| MV IgM ( | 51 (85.00%) |
| MV PCR ( | 50 (83.33%) |
| Both ( | 41 (68.33%) |
|
| |
| Koplik spots ( | 36 (60.00%) |
| Catarrh ( | 51 (85.00%) |
| Conjunctivitis ( | 50 (83.33%) |
| Complication ( | |
| Pneumonia ( | 2 (3.33%) |
| Laryngitis ( | 1 (1.67%) |
| Liver dysfunction ( | 6 (10.00%) |
General information and clinical manifestations of measles patients.
| Case number | Date of onset | Gender | Age (years) | Occupation | Vaccination history | MV IgM | MV PCR | Clinical manifestation | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Koplik spots | Catarrh | Conjunctivitis | Pneumonia | Laryngitis | Liver dysfunction | ||||||||
| 1 | Mar. 16 | Female | 33 | ED patient | No | Positive | Positive | Yes | Yes | Yes | Yes | No | Yes |
| 2 | Mar. 20 | Female | 29 | ED nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | Yes |
| 3 | Mar. 20 | Female | 27 | ED nurse | No | Positive | Positive | Yes | Yes | Yes | No | No | Yes |
| 4 | Mar. 20 | Male | 31 | ED nurse | Yes | Positive | Positive | Yes | No | Yes | No | No | No |
| 5 | Mar. 23 | Male | 26 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 6 | Mar. 23 | Female | 25 | Surgical nurse | Yes | Positive | Positive | No | Yes | No | No | No | No |
| 7 | Mar. 23 | Male | 36 | Logistical staff | Unknown | Positive | Positive | No | Yes | Yes | No | No | No |
| 8 | Mar. 23 | Female | 31 | Surgical nurse | Unknown | Positive | Positive | Yes | No | Yes | No | No | No |
| 9 | Mar. 23 | Female | 41 | Logistical staff | No | Positive | Positive | No | Yes | Yes | No | No | No |
| 10 | Mar. 23 | Male | 32 | Neurological doctor | Unknown | Positive | Positive | No | Yes | Yes | No | No | No |
| 11 | Mar. 23 | Female | 26 | Hematological nurse | Yes | Positive | Positive | Yes | Yes | No | No | No | No |
| 12 | Mar. 23 | Male | 32 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 13 | Mar. 23 | Male | 27 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 14 | Mar. 23 | Male | 25 | Pediatric nurse | Yes | Positive | Positive | No | No | No | No | No | No |
| 15 | Mar. 23 | Male | 29 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 16 | Mar. 23 | Female | 27 | Respiratory nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 17 | Mar. 23 | Female | 24 | Ophthalmological nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 18 | Mar. 24 | Male | 27 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 19 | Mar. 24 | Male | 24 | Cardiology nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No |
| 20 | Mar. 24 | Female | 23 | Clinic nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No |
| 21 | Mar. 24 | Female | 24 | Clinic nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No |
| 22 | Mar. 24 | Female | 25 | Clinic nurse | Yes | Positive | Negative | Yes | No | Yes | No | No | No |
| 23 | Mar. 24 | Male | 30 | Neurological doctor | Yes | Positive | Negative | No | Yes | Yes | No | No | No |
| 24 | Mar. 24 | Female | 22 | Surgical nurse | Yes | Positive | Negative | No | Yes | No | No | No | No |
| 25 | Mar. 24 | Female | 25 | Surgical nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No |
| 26 | Mar. 24 | Female | 24 | Neurological nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No |
| 27 | Mar. 24 | Female | 25 | Surgical nurse | Yes | Positive | Negative | No | Yes | Yes | No | No | No |
| 28 | Mar. 24 | Male | 1 | Hematological patient | Yes | Positive | Positive | Yes | Yes | Yes | Yes | Yes | Yes |
| 29 | Mar. 25 | Female | 27 | Obstetrical patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | Yes |
| 30 | Mar. 25 | Female | 30 | ICU nurse | Unknown | Positive | Positive | No | No | No | No | No | No |
| 31 | Mar. 25 | Female | 26 | Neurosurgical nurse | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 32 | Mar. 25 | Female | 28 | Urological nurse | Unknown | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 33 | Mar. 25 | Female | 19 | VIP medical nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 34 | Mar. 25 | Female | 32 | Cardiology nurse | Unknown | Positive | Positive | No | Yes | No | No | No | No |
| 35 | Mar. 26 | Female | 13 | Pediatric patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 36 | Mar. 26 | Male | 30 | Chinese medicine doctor | Unknown | Positive | Positive | Yes | Yes | Yes | No | No | Yes |
| 37 | Mar. 26 | Female | 27 | VIP medical nurse | Yes | Positive | Positive | Yes | No | Yes | No | No | No |
| 38 | Mar. 26 | Female | 26 | Cardiology nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No |
| 39 | Mar. 27 | Male | 16 | ED patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 40 | Mar. 27 | Male | 30 | Urological doctor | Unknown | Positive | Positive | No | Yes | No | No | No | No |
| 41 | Mar. 27 | Female | 29 | Logistical staff | Yes | Negative | Positive | Yes | Yes | Yes | No | No | No |
| 42 | Mar. 27 | Male | 21 | Medical student | Yes | Negative | Positive | No | Yes | Yes | No | No | No |
| 43 | Mar. 27 | Male | 14 | ED patient | Yes | Positive | Positive | Yes | Yes | No | No | No | No |
| 44 | Mar. 27 | Male | 25 | Logistical staff | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 45 | Mar. 27 | Female | 27 | Cardiology nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 46 | Mar. 27 | Female | 38 | ED patient | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 47 | Mar. 27 | Male | 1 | Pediatric patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 48 | Mar. 28 | Female | 27 | Clinic nurse | Yes | Positive | Positive | No | Yes | Yes | No | No | No |
| 49 | Mar. 28 | Female | 16 | ED patient | Yes | Positive | Positive | Yes | No | No | No | No | No |
| 50 | Mar. 28 | Female | 22 | Neurological nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No |
| 51 | Mar. 28 | Male | 13 | Pediatric patient | Yes | Positive | Positive | Yes | Yes | No | No | No | No |
| 52 | Mar. 28 | Female | 29 | Hematological nurse | Unknown | Positive | Positive | No | Yes | Yes | No | No | No |
| 53 | Mar. 29 | Female | 43 | Logistical staff | No | Positive | Positive | No | Yes | Yes | No | No | No |
| 54 | Mar. 29 | Female | 27 | Pediatric nurse | Yes | Negative | Positive | Yes | Yes | Yes | No | No | No |
| 55 | Mar. 30 | Female | 38 | Nephrology doctor | Unknown | Negative | Positive | Yes | Yes | Yes | No | No | No |
| 56 | Mar. 31 | Female | 25 | Urological nurse | Yes | Negative | Positive | No | No | Yes | No | No | No |
| 57 | Apr. 2 | Female | 47 | Logistical staff | Unknown | Negative | Positive | Yes | Yes | Yes | No | No | No |
| 58 | Apr. 2 | Female | 29 | Pediatric nurse | Yes | Negative | Positive | No | Yes | Yes | No | No | No |
| 59 | Apr. 4 | Male | 32 | Logistical staff | Unknown | Negative | Positive | Yes | Yes | No | No | No | No |
| 60 | Apr. 4 | Female | 23 | Neurological nurse | Yes | Negative | Positive | No | No | Yes | No | No | No |
ED: Emergency Department; ICU: intensive care unit; VIP: very important person.